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00M-670 IBM SVP Primary support Provider Mastery Test v1

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00M-670 exam Dumps Source : IBM SVP Primary support Provider Mastery Test v1

Test Code : 00M-670
Test designation : IBM SVP Primary support Provider Mastery Test v1
Vendor designation : IBM
: 25 existent Questions

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IBM IBM SVP Primary Support

IBM’s ‘huge wager’ on Kubernetes is unifying cloud providers across systems | killexams.com existent Questions and Pass4sure dumps

Navigating cloud computing services will besides breathe problematic, especially when they approach from diverse suppliers. therefore, establishing a noteworthy groundwork turns into much more crucial in retaining a hit operations across nowadays’s multicloud landscape. For IBM, that basis is Kubernetes, the open-supply device for managing containerized utility applications at scale.

“IBM has taken a titanic pot on Kubernetes two and a half years ago,” spoke of Daniel Berg (pictured), uncommon engineer, IBM Cloud Kubernetes service, at IBM. “[We] not ever truly appeared again; it’s their basic foundation for their platform features.”

Berg spoke with Dave Vellante (@dvellante) and Stu Miniman (@stu), co-hosts of theCUBE, SiliconANGLE Media’s mobile livestreaming studio, during the IBM suppose tang in San Francisco. They mentioned IBM’s Kubernetes functions and the company challenges of relocating operations between inner most and public clouds. (* Disclosure beneath.)

Bridging the multicloud gap

The IBM Cloud Kubernetes service presently has two distributions: IBM Cloud inner most, or ICP, which operates on-premises, and a managed service in the public cloud. So, what are the merits of completely retaining a personal cloud with Kubernetes? The container administration platform modernizes and organizes years-old content.

“We’ve modernized it, establish it in containers, set up it, and control it on Kubernetes. The first-class issue is that content which you can convey on-premises where it’s essential the most and eschew it in ICP — and besides engage that and eschew it in their public cloud,” Berg explained.

Kubernetes is convenient to deploy, installation, and win started. despite the fact, it is not devoid of its complications. With enhanced proliferation comes more desirable problem in managing the diverse clusters, Berg pointed out. “There are nevertheless some complexities, as a result of … you’ve obtained edifice clusters; you’ve obtained test clusters,” he said.

To alleviate the challenge, IBM launched a recent product referred to as Multicloud manager, which gives a manage airplane to manage components throughout many different clouds and disparate platforms. it really works with ICP and IBM Kubernetes service however is additionally suitable with Amazon, Google, Azure and OpenShift. Multicloud manager besides helps with safety compliance and enforcement, so it gives safety anyplace it's lacking.

For businesses finding it under feasible to hold consistency and necessities while customizing for unavoidable data wants, Berg stated the benefits of numerous distributions. “in order for you whatever thing that’s tremendously, enormously specific to a given utilize case or you Have transformations to your infrastructure that you should Have extra flexibility, that’s the set IBM Cloud inner most comes in,” he noted.

Two clouds are greater than one

relocating to public cloud in a sole fell swoop is a Herculean project, even for titanic corporations such as Amazon and Google. this is where hybrid cloud is available in. In IBM’s case, it combines ICP and OpenShift to provide OpenShift clients IBM’s content material, built-in monitoring, and integrated logging onto the platform for which they are already standardized.

“as a result of they constructed and are standardized on Kubernetes, they supply Kubernetes carrier and they upshot that at scale and relaxed, in addition to extremely accessible,” Berg cited.

Berg did forewarn towards using just one cloud vendor, and he besides advised groups to breathe constant in what they desire out of their suppliers. “but the aspect that clients upshot deserve to examine, and what they upshot should standardize throughout an business, is a few of the core tenets and core applied sciences,” he introduced.

Visibility into workloads is besides vital to a corporation’s operations, Berg explained. And IBM Cloud Monitoring does this. The implement isn't wonderful to Kubernetes, both. fairly, it can breathe extended into digital machines and different forms of workloads. IBM’s monitoring is greatly helped by means of its partnership with Sysdig Inc., Berg introduced.

“you can’t build a cloud-native solution without monitoring, correct? Monitoring and log … it’s fancy peanut butter and jelly. You’ve got to Have them,” Berg concluded.

Watch the comprehensive video interview beneath, and breathe certain to check out more of SiliconANGLE’s and theCUBE’s coverage of the IBM believe event. (* Disclosure: IBM subsidized this section of theCUBE. Neither IBM nor different sponsors Have editorial manage over content on theCUBE or SiliconANGLE.)

photograph: SiliconANGLE on the grounds that you’re privilege here …

… We’d want to inform you about their mission and how that you can assist us fulfill it. SiliconANGLE Media Inc.’s enterprise mannequin is in response to the intrinsic value of the content, now not advertising. not fancy many online publications, they don’t Have a paywall or eschew banner advertising, because they want to hold their journalism open, with out Have an upshot on or the need to chase site visitors.The journalism, reporting and commentary on SiliconANGLE — together with are living, unscripted video from their Silicon Valley studio and globe-trotting video teams at theCUBE — engage a lot of difficult work, time and money. retaining the satisfactory immoderate requires the benefit of sponsors who're aligned with their vision of ad-free journalism content.

if you fancy the reporting, video interviews and different advert-free content material privilege here, please engage a second to engage a study at a pattern of the video content supported through their sponsors, tweet your guide, and maintain coming returned to SiliconANGLE.


Skytap declares Upcoming accepted Availability of First Self-carrier, Public Cloud Capabilities for IBM i | killexams.com existent Questions and Pass4sure dumps

No upshot found, are trying recent key phrase!SEATTLE, Feb. 11, 2019 /PRNewswire/ -- forward of IBM suppose, Skytap, a world, intention-constructed public cloud company, today announced that its assist for the IBM i operating ... remedy," spoke of Karri Alexio...

IBM: A Future Blockchain chief? | killexams.com existent Questions and Pass4sure dumps

No outcomes found, try recent keyword!(supply: IBM website) at present, IBM reports it has three basic desires in its blockchain method ... furthermore, IBM’s specialists within the box present further guide for those drawn to the technol...

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Java Cryptography | fraction 3 | killexams.com existent questions and Pass4sure dumps

After you Have secured your private electronic information using encryption and erudite how to encrypt and digitally token files for others, how upshot you extract the information and determine who encrypted the file? Asymmetric public/private key encryption allows you to decipher the information and verify the accompanying digital signature if it exists.

This article illustrates how to decrypt and verify the digital signature on files encrypted using a hybrid combination of asymmetric public/private key encryption and symmetric encryption. A symmetric key is used to encrypt the file and the asymmetric public key encrypts the symmetric key. The asymmetric private key decrypts the symmetric key which in circle is used to decrypt the encrypted file.

Figure1: Asymmetric Key Encryption Functions

The same pair of keys can breathe used with digital signatures. The private key is used to token a file and generate a digital signature. The public key is used to verify the authenticity of the signature.

Figure 2: Asymmetric Key Signature Functions

The decryption technique requires the Java libraries developed by the Legion of the Bouncy Castle (www.bouncycastle.org). The Bouncy Castle jars, bcprov-jdk15on-147.jar and bcpkix-jdk15on-147.jar, contains total the methods required to encrypt, decrypt, token and verify a digital signature. The following Java code snippet loads the BouncyCastle provider, which implements the Java Cryptography Security services such as algorithms and key generation.

import org.bouncycastle.jce.provider.*;java.security.Security.addProvider(new BouncyCastleProvider());

Decryption for Files or Java ObjectsOnce a file has been encrypted and/or signed using the DocuArmor application, it can breathe deciphered by the owner of the matching asymmetric private key. The process involves reading the header, extracting the symmetric key and deciphering the appended encrypted data. The following steps along with the Java code snippets illustrate the process used to decrypt an encrypted file.

Step 1: Assume you want to decrypt the encrypted file, C:\sampleFile.txt.jxdoe_nnnn.asg and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the encrypted file. Read the header from the encrypted file and determine decrypted output name.

File tSrcFile = recent File("C:\\sampleFile.txt." + tUniqueAlias + ".aes");String tDecryptFile = tSrcFile.getName();tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));tDecryptFile = tDecryptFile.substring(0, tDecryptFile.lastIndexOf('.'));OutputStream tFileOStream = recent FileOutputStream(tDecryptFile);DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;

Step 2: The private key is stored in a Java key store and is password protected. Load the key store using your password. Retrieve the asymmetric private key from the key store using the same password. The asymmetric private key will breathe used to decrypt the symmetric key.

FileInputStream tFIStream = recent FileInputStream("C:\\jxdoe_nnnn.jks");KeyStore tMyKStore = KeyStore.getInstance("JKS", "SUN");char[] tPW = "password".toCharArray();tMyKStore.load(tFIStream, tPW);PrivateKey tPrivKey = (PrivateKey)tMyKStore.getKey("jxdoe_nnnn", tPW);

Figure 3: Private Key

Step 3: Generate a Java Cipher expostulate using the asymmetric private key and set its mode to "Cipher.UNWRAP_MODE".

Cipher tCipherRSA = Cipher.getInstance("RSA", "BC");tCipherRSA.init(Cipher.UNWRAP_MODE, (PrivateKey)tPrivKey);

Step 4: utilize the Java Cipher and asymmetric private key to unwrap the symmetric key. It's located in the header at the instance variable, wrappedSymKey or wrappedSymKeyOther, along with symmetric algorithm at symKeyAlgDesc. The symmetric key will breathe used to decrypt the file.

String tAlg = tHead.symKeyAlgDesc();Key tSymmetricKey =tCipherRSA.unwrap(tHead.wrappedSymKey(),tAlg, Cipher.SECRET_KEY);

Figure 4: Unwrap Symmetric Key

Step 5: Re-initialize the same Cipher to Cipher.DECRYPT_MODE. utilize the Cipher and the asymmetric private key to decrypt the initialization vector stored within the header at the instance variable initVector or initVectorOther.

tCipher.init(Cipher.DECRYPT_MODE, (PrivateKey)tPrivKey);byte[] tInitVector = tCipher.doFinal(tHead.initVector());IvParameterSpec tIvParmSpec = recent IvParameterSpec(tInitVector);

Figure 5: Unwrap Initialization Vector

Step 6: Generate a Java Cipher expostulate using the symmetric key and initialization vector and set its mode to "Cipher.DECRYPT_MODE". The string representing the symmetric algorithm, mode and padding can breathe extracted from the Cryptography header using the "transformation" method.

tCipherDecrypt = Cipher.getInstance("AES/CTR/PKCS7Padding", "BC");or tCipherDecrypt = Cipher.getInstance(tHead.transformation(), "BC");tCipherDecrypt.init(Cipher.DECRYPT_MODE, tSymmetricKey, tIvParmSpec);

Step 7: utilize the Java Cipher to decrypt the relaxation of the file to a Java FileOutputStream. The DataInputStream points to the start of the encrypted data after reading the header. The End result is a decrypted file.

byte[] tInBuffer = recent byte[4096];byte[] tOutBuffer = recent byte[4096];int tNumOfBytesRead = tDInStream.read(tInBuffer);while (tNumOfBytesRead == tInBuffer.length) {//-Encrypt the input buffer data and store in the output bufferint tNumOfBytesUpdated =tCipherDecrypt.update(tInBuffer, 0, tInBuffer.length, tOutBuffer);tFileOStream.write(tOutBuffer, 0, tNumOfBytesUpdated);tNumOfBytesRead = tDInStream.read(tInBuffer);}//-Process the remaining bytes in the input file.if (tNumOfBytesRead > 0) {tOutBuffer = tCipherDecrypt.doFinal(tInBuffer, 0, tNumOfBytesRead);} else {tOutBuffer = tCipherDecrypt.doFinal();}tFileOStream.write(tOutBuffer, 0, tOutBuffer.length);tFileOStream.close();

Figure 6: Decipher the Encrypted File

Step 7a: If the encrypted file contains a Java object, utilize the Java Cipher to decrypt the relaxation of the file to a Java ByteArrayOutputStream instead of a FileOutputStream. The End result can breathe converted to an instance of its original Java class.

ByteArrayInputStream tBAIS = recent ByteArrayInputStream(tBAOS.toByteArray());  ObjectInput tOIS = recent ObjectInputStream(tBAIS);Object tObject = tOIS.readObject();  //-Original Java objecttBAOS.close();tBAIS.close();tOIS.close();

Alternatively, the same technique can breathe used to decrypt the encrypted file using the symmetric key that was wrapped with the CA or owner's asymmetric public key. If the file was encrypted for another user, the owner can decrypt it using the additionally wrapped symmetric key. If the file was encrypted for oneself, the CA can decrypt it using the additionally wrapped symmetric key in the enterprise version.

Signature VerificationWhen a file has been digitally signed with a user's asymmetric private key, the signature is stored in the Cryptography header. The signature can breathe validated with the user's matching asymmetric public key stored in a certificate. The process involves reading the header, extracting the digital signature and validating it against the relaxation of the signed file and the asymmetric public key. The following steps recite the process used to verify a digital signature.

Step 1: Assume you want to verify the signature on the encrypted and digitally signed file, "C:\sampleFile.txt.jxdoe_nnnn.asg" and the String variable, tUniqueAlias = "jxdoe_nnnn", holds the alias associated to the file. Read the header from the signed file. After the header is read, hold in intellect that the DataInputStream now points to the dawn of the encrypted data.

File tSrcFile = recent File("C:\\sampleFile.txt." + tUniqueAlias + ".asg");DataInputStream tDInStream =new DataInputStream(new FileInputStream(tSrcFile));Object tRC = CryptoHeader.readHeader(tDInStream);CryptoHeader tHead = (CryptoHeader)tRC;byte[] tCurrSignature = tHead.signature();

Step 2: Retrieve the certificate whose designation is stored in the header and contains the asymmetric public key needed for verification. Retrieve the asymmetric public key from the certificate associated with the digital signature.

String tCertName = "C:\\" + tHead.verifySigCertName();InputStream tInStream = recent FileInputStream(tCertName);CertificateFactory tFactory = CertificateFactory.getInstance("X.509","BC");X509Certificate tCert =(X509Certificate)tFactory.generateCertificate(tInStream);tInStream.close();PublicKey tPubKey = tCert.getPublicKey();

Figure 7: Extract Public Key

Step 3: Instantiate a Java signature engine and initialize it with the signature algorithm stored in the header and the asymmetric public key. The default value is "SHA512WithRSAEncryption".

Signature tSgnVerifyEngine = null;String tSigAlg = tHead.signatureAlgDesc();tSgnVerifyEngine = Signature.getInstance(tSigAlg,"BC");tSgnVerifyEngine.initVerify(tPubKey);

Step 4: utilize the Java signature engine to process the relaxation of the signed file and compute a hash number that will breathe compared with the signature stored in the header.

int tBlockSize = 4096;byte[] tBuffer = recent byte[tBlockSize];int tLength = tDInStream.read(tBuffer);while (tLength == tBlockSize) {tSgnVerifyEngine.update(tBuffer, 0, tBlockSize);tLength = tDInStream.read(tBuffer);} if (tLength > 0) {tSgnVerifyEngine.update(tBuffer, 0, tLength);}

Step 5: After the file has been processed, utilize the Java signature engine to verify its result with the digital signature. A Boolean result is returned on whether the signature was valid.

Boolean tResult = tSgnVerifyEngine.verify(tCurrSignature);

SummaryThe article demonstrates how to decrypt and verify the digit signature of and encrypted file using Java Cryptography methods and the Cryptography libraries from Bouncy Castle organization. Using the information provided within the Cryptography header, the user can validate who encrypted its contents and/or decipher the encrypted file. The header besides provides the flexibility to expand the usage of Cryptography such as allowing multiple recipients to decrypt a file by using each of their public keys to encrypt the same symmetric key. As society adopts file encryption as a standard artery of protection, more creative uses will breathe invented by future Cyber warriors.

The source code (LaCryptoJarSample.java) is available on the rational Answers Inc. website under the education web page as an individual file and besides within the zip file, laCrypto-4.2.0.zipx.

References and Other Technical NotesSoftware requirements:

  • Computer running Windows XP or higher...
  • Java Runtime (JRE V1.7 or higher)
  • Recommended reading:

  • "Beginning Cryptography with Java" by David Hook.
  • "The Code Book" by Simon Singh

  • Avoid Bothersome Garbage Collection Pauses | killexams.com existent questions and Pass4sure dumps

    Many engineers complain that the non-deterministic conduct of the garbage collector prevents them from utilizing the Java environment for mission-critical applications, especially distributed message-driven displays (GUIs) where user responsiveness is critical. They agree that garbage collection does occur at the worst times: for example, when a user clicks a mouse or a recent message enters the system requiring immediate processing. These events must breathe handled without the deliberate of in-progress garbage collection. How upshot they avert these garbage collection pauses that tamper with the responsiveness of an application ("bothersome pauses")?

    We Have discovered a very effectual technique to avert bothersome garbage collection pauses and build responsive Java applications. This technique or pattern is especially effectual for a distributive message-driven array system with soft real-time constraints. This article details this pattern in three simple steps and provides evidence of the effectiveness of the technique.

    Pattern to Control Garbage Collection PausesThe Java environment provides so many benefits to the software community - platform independence, industry momentum, a plethora of resources (online tutorials, code, interest groups, etc.), object-oriented utilities and interfaces (collections, network I/O, swing display, etc.) that can breathe plugged in and out - that once you Have experienced working with Java it's difficult to fade back to traditional languages. Unfortunately, in some mission-critical applications, fancy message-driven GUIs that must breathe very responsive to user events, the requirements compel you to engage that step backward. There's no leeway for multiple second garbage collection pauses. (The garbage collector collects total the "unreachable" references in an application so the space consumed by them can breathe reused. It's a low-priority thread that usually only takes priority over other threads when the VM is running out of memory.) upshot they really Have to lose total the benefits of Java? First, let's consider the requirements.

    A system engineer should consider imposing requirements for garbage collection fancy the following list taken from a telecom industry example (see References).1.  GC sequential overhead on a system may not breathe more than 10% to ensure scalability and optimal utilize of system resources for maximum throughput.2.  Any sole GC respite during the entire application eschew may breathe no more than 200ms to meet the latency requirements as set by the protocol between the client and the server, and to ensure wonderful response times by the server.

    Armed with these requirements, the system engineer has defined the worst-case conduct in a manner that can breathe tested.

    The next question is: How upshot they meet these requirements? Alka Gupta and Michael Doyle do excellent suggestions in their article (see References). Their approach is to tune the parameters on the Java Virtual Machine (JVM). They engage a slightly different approach that leaves the utilize of parameter definitions as defined by the JVM to breathe used as a final tuning technique.

    Why not construe the garbage collector what and when to collect?

    In other words, control garbage collection via the software architecture. do the job of the garbage collector easy! This technique can breathe described as a multiple step pattern. The first step of the pattern is described below as "Nullify Objects." The second step involves forcing garbage collection to occur as delineated in "Forcing Garbage Collection." The final step involves either placing persistent data out of the reach of the collector or into a data pool so that an application will continue to discharge well in the long run.

    Step 1: Nullify ObjectsMemory leaks strike panic into the hearts of programmers! Not only upshot they abase performance, they eventually terminate the application. Yet recollection leaks prove very subtle and difficult to debug. The JVM performs garbage collection in the background, freeing the coder from such details, but traps quiet exist. The biggest danger is placing an expostulate into a collection and forgetting to remove it. The recollection used by that expostulate will never breathe reclaimed.

    A programmer can avert this ilk of recollection leak by setting the expostulate reference and total underlying expostulate references ("deep" objects) to null when the expostulate is no longer needed. Setting an expostulate reference to "null" tells the garbage collector that at least this one reference to the expostulate is no longer needed. Once total references to an expostulate are cleared, the garbage collector is free to reclaim that space. Giving the collector such "hints" makes its job easier and faster. Moreover, a smaller recollection footprint besides makes an application eschew faster.

    Knowing when to set an expostulate reference to null requires a complete understanding of the problem space. For instance, if the remote receiver allocates the recollection space for a message, the relaxation of the application must know when to release the space back for reuse. Study the domain. Once an expostulate or "subobject" is no longer needed, construe the garbage collector.

    Thus, the first step of the pattern is to set objects to null once you're certain they're no longer needed. They call this step "nullify" and involve it in the definition of the classes of frequently used objects.

    The following code snippet shows a method that "nullifies" a track object. The class members that consist of primitives only (contain no additional class objects) are set to null directly, as in lines 3-5. The class members that hold class objects provide their own nullify method as in line 9.

    1 public void nullify () {23 this.threatId = null ;4 this.elPosition = null ;5 this.kinematics = null ;67 if (this.iff != null)8 {9 this.iff.nullify();10 this.iff = null ;11 }12 }

    The track nullify is called from the thread that has completed processing the message. In other words, once the message has been stored or processed, that thread tells the JVM it no longer needs that object. Also, if the expostulate was placed in some Collection (like an ArrayList), it's removed from the Collection and set to null.

    By setting objects to null in this manner, the garbage collector and thus the JVM can eschew more efficiently. Train yourself to program with "nullify" methods and their invocation in mind.

    Step 2: "Force" Garbage CollectionThe second step of the pattern is to control when garbage collection occurs. The garbage collector, GC, runs as Java priority 1 (the lowest priority). The virtual machine, VM, runs at Java priority 10 (the highest priority). Most books recommend against the usage of Java priority 1 and 10 for assigning priorities to Java applications. In most cases, the GC runs during idle times, generally when the VM is waiting for user input or when the VM has eschew out of memory. In the latter case, the GC interrupts high-priority processing in the application.

    Some programmers fancy to utilize the "-Xincgc" directive on the Java command line. This tells the JVM to discharge garbage collection in increments when it desires. Again, the timing of the garbage collection may breathe inopportune. Instead, they imply that the garbage collector discharge a complete garbage collection as soon as it can in either or both of two ways:1.  Request garbage collection to betide as soon as possible: This method proves useful when the programmer knows he or she has a "break" to garbage collect. For example, after a big image is loaded into recollection and scaled, the recollection footprint is large. Forcing a garbage collection to occur at that point is wise. Another wonderful district may breathe after a big message has been processed in the application and is no longer needed.2.  Schedule garbage collection to occur at a fixed rate: This method is optimal when the programmer does not Have a specific moment when he knows his application can discontinue shortly and garbage collect. Normally, most applications are written in this manner.

    Listing 1 introduces a class named "BetterControlOfGC". It's a utility class that provides the methods described earlier. There are two public methods: "suggestGCNow()" and "scheduleRegularGC(milliseconds)" that respectively correspond to the steps described earlier. Line 7 suggests to the VM to garbage collect the unreachable objects as soon as possible. The documentation makes it limpid that the garbage collection may not occur instantaneously, but tang has shown that it will breathe performed as soon as the VM is able to accomplish the task. Invoking the method on line 25 causes garbage collection to occur at a fixed rate as determined by the parameter to the method.

    In scheduling the GC to occur at a fixed rate, a garbage collection stimulator task, GCStimulatorTask, is utilized. The code extends the "java.util.timer" thread in line 10. No recent thread is created; the processing runs on the sole timer thread available dawn with the Java 1.3 environment. Similarly, to hold the processing lean, the GC stimulator follows the Singleton pattern as shown by lines 18-23 and line 27. There can breathe only one stimulator per application, where an application is any code running on an instance of the JVM.

    We imply that you set the interval at which the garbage collector runs from a Java property file. Thus you can tune the application without having to recompile the code. Write some simple code to read a property file that's either a parameter on the command line or a resource bundle in the class path. set the command parameter "-verbose:gc" on your executable command line and measure the time it takes to garbage collect. Tune this number until you achieve the results you want. If the budget allows, experiment with other virtual machines and/or hardware.

    Step 3: Store Persistent Objects into Persistent Data Areas or Store Long-Lived Objects in PoolsUsing persistent data areas is purely optional. It supports the underlying premise of this article. In order to bind the disruption of the garbage collector in your application, do its job easy. If you know that an expostulate or collection of objects would live for the duration of your application, let the collector know. It would breathe nice if the Java environment provided some sort of flag that could breathe placed on objects upon their creation to construe the garbage collector "-keep out". However, there is currently no such means. (The Real-Time Specification for Java describes an district of recollection called "Immortal Memory" where objects live for the duration of the application and garbage collection should not run.) You may try using a database; however, this may tedious down your application even more. Another solution currently under the Java Community Process is JSR 107. JCache provides a standard set of APIs and semantics that allow a programmer to cache frequently used data objects for the local JVM or across JVMs. This API is quiet under review and may not breathe available yet. However, they believe it holds much engage for the Java developer community. hold this avenue open and in intellect for future architectures. What can they upshot now?

    The pooling of objects is not recent to real-time programmers. The concept is to create total your expected data objects before you start processing, then total your data can breathe placed into structures without the expense of instance creation during processing time. This has the advantage of keeping your recollection footprint stable. It has the disadvantage of requiring a "deep copy" method to breathe written to store the data into the pool. (If you simply set an expostulate to another, you're changing the expostulate reference and not reusing the same space.) The nanosecond expense of the abysmal copy is far less than that of the expostulate instance creation.

    If the data pooling technique is combined with the proper utilize of the "nullify" technique, garbage collection becomes optimized. The reasons are fairly straightforward:1.  Since the expostulate is set to null immediately after the abysmal copy, it lives only in the youthful generation portion of the memory. It does not progress into the older generations of recollection and thus takes less of the garbage collector's cycle time.2.  Since the expostulate is nullified immediately and no other reference to it exists in some other collection expostulate in the application, the job of the garbage collector is easier. In other words, the garbage collector does not Have to hold track of an expostulate that exists in a collection.

    When using data pools, it's sage to utilize the parameters "-XX:+UseConcMarkSweepGC -XX:MaxTenuringThreshold=0 -XX:SurvivorRatio=128" on the command line. These construe the JVM to ride objects on the first sweep from the recent generation to the old. It commands the JVM to utilize the concurrent brand sweep algorithm on the worn generation that proves more efficient since it works "concurrently" for a multi-processor platform. For sole processor machines, try the "-Xincgc" option. We've seen those long garbage collector pauses, which occur after hours of execution, evaporate using this technique and these parameters. Performing well in the long eschew is the virtuous benefit of this final step.

    Performance ResultsTypically, most engineers want proof before changing their approach to designing and coding. Why not? Since we're now suggesting that even Java programmers should breathe concerned about resource allocation, it better breathe worth it! Once upon a time, assembly language and C programmers spent time tweaking recollection and register usage to ameliorate performance. This step was necessary. Now, as higher-level object-oriented programmers they may disdain this thought. This pattern has dared to imply that such considerations, although not as low flush as registers and recollection addresses (instead at the expostulate level), are quiet necessary for high-performance coding. Can it breathe true?

    The underlying premise is that if you know how your engine works, you can drive it better to obtain optimal performance and endurance. This is as virtuous for my 1985 300TD (Mercedes, five cylinder, turbo diesel station wagon) with 265,000 miles as for my Java code running on a HotSpot VM. For instance, knowing that a diesel's optimal performance is when the engine is warm since it relies on compression for power, I let my car warm up before I "push it." Similarly, I don't overload the vehicle with the tons of stuff I could set in the tailgate. HotSpot fits the analogy. Performance improves after the VM "warms up" and compiles the HotSpot code into the aboriginal language. I besides hold my recollection footprint spare and light. The comparison breaks down after awhile, but the basic truth does not change. You can utilize a system the best when you understand how it works.

    Our challenge to you is to engage statistics before and after implementing this pattern on just a miniature portion of your code. tickle recognize that the gain will breathe best exemplified when your application is scaled upward. In other words, the heavier the load on the system, the better the results.

    The following statistics were taken after the pattern was applied. They are charted as:1.  Limited nullify method invocation is used where only the incoming messages are not "nullified." (The residue of the application from which the statistics were taken was left intact with a very spare recollection usage.) There is no forced garbage collection.2.  Nullify method invocation and forced garbage collection is utilized.

    The test environment is a Microsoft Windows 2000 X86 Family 15 Model 2 Stepping 4 Genuine Intel ~1794MHz laptop running the BEA WebLogic Server 7.0 with Service Pack 7.1 with a physical recollection size of 523,704KB. The Java Message Server (JMS server), a track generator, and a tactical array are total running on the same laptop over the local developer network (MAGIC). The server makes no optimizations, even though each application resides locally. The JVMs are treated as if they were distributed across the network. They're running on the J2SE 1.4.1 release.

    The test target application is a Java swing Tactical array with complete panning, zooming, and track-hooking capabilities. It receives bundles of tracks via the Java Message Service that are displayed at their proper location on the given image. Each track is approximately 88 bytes and the overall container size is about 70 bytes. This byte measurement does not involve total the additional class information that's besides sent during serialization. The container is the message that holds an array of tracks that contains information such as time and number of tracks. For their tests, the tracks are sent at a 1Hz rate. Twenty sets of data are captured.

    To illustrate the test environment, a screen capture of a 5,000 track load (4,999 tracks plus the ship) is shown in motif 1. The background shows tracks rendered with the Military standard 2525B symbology over an image of the Middle East. The miniature window titled "Track Generator Desktop" is a minimized window showing the parameters of the test set through the track generator application. Notice that 45 messages had been sent at the time of the screen capture. Directly beneath this window sits the Windows task Manager. Note that the CPU utilization is at 83%. At first this doesn't seem that bad. But at that rate, there isn't much leeway for the user to start zooming, panning, hooking tracks, and so on. The final command window to the privilege is that of the tactical array application. The parameter "-verbose:gc" is placed on the Java command line (java -verbose:gc myMainApplication.class). The VM is performing the listed garbage collection at its own rate, not by command of the application.

    The final test of 10,000 tracks performed extremely poorly. The system does not scale; the CPU is pegged. At this point most engineers may jeer at Java again. Let's engage another study after implementing the pattern.

    After implementation, where the nullify methods are invoked properly and garbage collection is requested at a intermittent interval (2Hz), histrionic improvements are realized. The final test of 10,000 tracks proves that the processor quiet has plenty of leeway to upshot more work. In other words, the pattern scales very well.

    Performance SummaryThe pattern to benefit control garbage collection pauses most definitely improves the overall performance of the application. Notice how well the pattern scales under the heavier track loads in the performance bar chart in motif 2. The darker middle bar shows the processor utilization at each flush of the message (track) load. As the message traffic increases, the processor utilization grows more slowly than without the pattern. The final light-colored bar shows the improved performance. The main strength of the pattern is how well it scales under cumbersome message loads.

    There is another subtle strength to the pattern. This one is difficult to measure since it requires very long-lived tests. If Step 3 is faithfully followed, those horribly long garbage collection pauses that occur after hours of running disappear. This is a key benefit to the pattern since most of their applications are designed to eschew "forever."

    We're confident that many other Java applications would benefit from implementing this very simple pattern.

    The steps to control garbage collection pauses are:1.  Set total objects that are no longer in utilize to null and do certain they're not left within some collection. "Nullify" objects.2.  compel garbage collection to occur both:

  • After some major memory-intense operation (e.g., scaling an image)
  • At a intermittent rate that provides the best performance for your application3.  reclaim long-lived data in a persistent data district if feasible or in a pool of data and utilize the commandeer garbage collector algorithm.

    By following these three simple steps, you'll avoid those bothersome garbage collection pauses and prize total the benefits of the Java environment. It's time the Java environment was fully utilized in mission-critical array systems.

    References

  • Gupta, A., and Doyle, M. "Turbo-Charging the Java HotSpot Virtual Machine, v1.4.x to ameliorate the Performance and Scalability of Application Servers": http://developer.java.sun.com/developer/ technicalArticles/Programming/turbo/
  • JSR 1, Real-Time Specification for Java: http://jcp.org/en/jsr/detail?id=1
  • Java HotSpot VM options: http://java.sun.com/docs/hotspot/VMOptions.html
  • Java Specification Request for JCache: http://jcp.org/en/jsr/detail?id=107

  • Silverlight v1.0 Beta vs. Silverlight 1.1 Alpha - Huh?? | killexams.com existent questions and Pass4sure dumps

    By Kevin Hoffman

    Article Rating:

    May 2, 2007 11:15 AM EDT

    Reads:

    20,088 Kevin Hoffman's Blog

    The short of the Story is that Silverlight 1.0 applications don't support code-behind, they don't support making unpretentious XML calls back to a web service (despite some other people's claims to the contrary, 1.0 will not let you upshot this!), and there is no existent two-way binding (though you can set values of controls in response to events, which is what I call "old school" binding).

    Silverlight 1.1, however.. now this gross project is actually starting to argue some promise. For starters, Silverlight 1.1:

  • Supports communication via XML over HTTP, which makes it example for "RESTy POX". Note that the 1.1 alpha version doesn't allow cross-domain access, so you'll quiet Have to drop in server-side service proxies for accessing remote services (which is actually more secure anyway....)
  • You can write "code behind" your Silverlight apps in C# or VB.NET
  • You can write your Silverlight apps using the Dynamic Language Runtime, which means you win to utilize VB9 or IronPython.
  • Still has total the rich media/video support that Silverlight 1.0 has
  • Create a "Silverlight" project from Visual Studio "Orcas" Beta 1.
  • I'm going to breathe looking into this further and will breathe posting my thoughts on it, but now that they can finally play with a "real" version of Silverlight, they can hopefully discontinue the insanity that was the 1.0 version.

    tags: silverlight  beta  alphalinks: digg this  del.icio.us  technorati  reddit

    Kevin Hoffman, editor-in-chief of SYS-CON's iPhone Developer's Journal, has been programming since he was 10 and has written everything from DOS shareware to n-tier, enterprise web applications in VB, C++, Delphi, and C. Hoffman is coauthor of Professional .NET Framework (Wrox Press) and co-author with Robert Foster of Microsoft SharePoint 2007 development Unleashed. He authors The .NET Addict's Blog at .NET Developer's Journal.

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