Zulu Enterprise: a Certified, Fully-Supported Version of Openjdk™ Open Source Java Standard Edition for Linux, Windows, Mac OS X and the Cloud
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Real-Time Java for Embedded Devices: the Javamen Project*
REAL-TIME JAVA FOR EMBEDDED DEVICES: THE JAVAMEN PROJECT* A. Borg, N. Audsley, A. Wellings The University of York, UK ABSTRACT: Hardware Java-specific processors have been shown to provide the performance benefits over their software counterparts that make Java a feasible environment for executing even the most computationally expensive systems. In most cases, the core of these processors is a simple stack machine on which stack operations and logic and arithmetic operations are carried out. More complex bytecodes are implemented either in microcode through a sequence of stack and memory operations or in Java and therefore through a set of bytecodes. This paper investigates the Figure 1: Three alternatives for executing Java code (take from (6)) state-of-the-art in Java processors and identifies two areas of improvement for specialising these processors timeliness as a key issue. The language therefore fails to for real-time applications. This is achieved through a allow more advanced temporal requirements of threads combination of the implementation of real-time Java to be expressed and virtual machine implementations components in hardware and by using application- may behave unpredictably in this context. For example, specific characteristics expressed at the Java level to whereas a basic thread priority can be specified, it is not drive a co-design strategy. An implementation of these required to be observed by a virtual machine and there propositions will provide a flexible Ravenscar- is no guarantee that the highest priority thread will compliant virtual machine that provides better preempt lower priority threads. In order to address this performance while still guaranteeing real-time shortcoming, two competing specifications have been requirements. -
Zing:® the Best JVM for the Enterprise
PRODUCT DATA SHEET Zing:® ZING The best JVM for the enterprise Zing Runtime for Java A JVM that is compatible and compliant The Performance Standard for Low Latency, with the Java SE specification. Zing is a Memory-Intensive or Interactive Applications better alternative to your existing JVM. INTRODUCING ZING Zing Vision (ZVision) Today Java is ubiquitous across the enterprise. Flexible and powerful, Java is the ideal choice A zero-overhead, always-on production- for development teams worldwide. time monitoring tool designed to support rapid troubleshooting of applications using Zing. Zing builds upon Java’s advantages by delivering a robust, highly scalable Java Virtual Machine ReadyNow! Technology (JVM) to match the needs of today’s real time enterprise. Zing is the best JVM choice for all Solves Java warm-up problems, gives Java workloads, including low-latency financial systems, SaaS or Cloud-based deployments, developers fine-grained control over Web-based eCommerce applications, insurance portals, multi-user gaming platforms, Big Data, compilation and allows DevOps to save and other use cases -- anywhere predictable Java performance is essential. and reuse accumulated optimizations. Zing enables developers to make effective use of memory -- without the stalls, glitches and jitter that have been part of Java’s heritage, and solves JVM “warm-up” problems that can degrade ZING ADVANTAGES performance at start up. With improved memory-handling and a more stable, consistent runtime Takes advantage of the large memory platform, Java developers can build and deploy richer applications incorporating real-time data and multiple CPU cores available in processing and analytics, driving new revenue and supporting new business innovations. -
Apache Harmony Project Tim Ellison Geir Magnusson Jr
The Apache Harmony Project Tim Ellison Geir Magnusson Jr. Apache Harmony Project http://harmony.apache.org TS-7820 2007 JavaOneSM Conference | Session TS-7820 | Goal of This Talk In the next 45 minutes you will... Learn about the motivations, current status, and future plans of the Apache Harmony project 2007 JavaOneSM Conference | Session TS-7820 | 2 Agenda Project History Development Model Modularity VM Interface How Are We Doing? Relevance in the Age of OpenJDK Summary 2007 JavaOneSM Conference | Session TS-7820 | 3 Agenda Project History Development Model Modularity VM Interface How Are We Doing? Relevance in the Age of OpenJDK Summary 2007 JavaOneSM Conference | Session TS-7820 | 4 Apache Harmony In the Beginning May 2005—founded in the Apache Incubator Primary Goals 1. Compatible, independent implementation of Java™ Platform, Standard Edition (Java SE platform) under the Apache License 2. Community-developed, modular architecture allowing sharing and independent innovation 3. Protect IP rights of ecosystem 2007 JavaOneSM Conference | Session TS-7820 | 5 Apache Harmony Early history: 2005 Broad community discussion • Technical issues • Legal and IP issues • Project governance issues Goal: Consolidation and Consensus 2007 JavaOneSM Conference | Session TS-7820 | 6 Early History Early history: 2005/2006 Initial Code Contributions • Three Virtual machines ● JCHEVM, BootVM, DRLVM • Class Libraries ● Core classes, VM interface, test cases ● Security, beans, regex, Swing, AWT ● RMI and math 2007 JavaOneSM Conference | Session TS-7820 | -
Oracle Lifetime Support Policy for Oracle Fusion Middleware Guide
ORACLE INFORMATION-DRIVEN SUPPORT Oracle Lifetime Support Policy Oracle Fusion Middleware Oracle Fusion Middleware 8 Oracle Fusion Middleware Releases 8 Application Development Tools 9 Oracle’s Application Development Tools 9 Oracle’s GraalVM Enterprise Releases 9 Oracle Cloud Application Foundation Releases 10 Oracle’s Sun and Glassfish Application Server Releases 12 Oracle’s Java Releases 13 Oracle’s Sun JDK Releases 13 Oracle’s Blockchain Platform Releases 14 Business Intelligence 14 Oracle Business Intelligence EE Releases 14 Oracle’s HyperRoll Releases 21 Oracle’s Siebel Technology Releases 22 Oracle’s Siebel Applications Releases 22 Oracle Big Data Discovery Releases 23 Oracle Endeca Information Discovery Releases 23 Oracle’s Endeca Releases 25 Master Data Management and Data Integrator 26 Oracle’s GoldenGate Releases 26 Oracle Data Integrator Releases 28 Oracle Data Integrator (Formerly Sunopsis) Releases 28 Oracle’s Sun Master Data Management and Data Integrator Releases 28 Oracle’s Silver Creek and EDQP Releases 29 Oracle's Datanomic and EDQ Releases 30 Oracle WebCenter Portal Releases 31 Oracle’s Sun Portal Releases 32 Oracle WebCenter Content Releases 32 Oracle’s Stellent Releases (Enterprise Content Management) 34 Oracle’s Captovation Releases (Enterprise Content Management) 35 Oracle WebCenter Sites Releases 36 Oracle FatWire Releases (WebCenter Sites) 36 Oracle Identity and Access Management Releases 37 Oracle’s Bharosa Releases 40 Oracle’s Passlogix Releases 41 Oracle’s Bridgestream Releases 41 Oracle’s Oblix Releases 42 -
Thread Scheduling in Multi-Core Operating Systems Redha Gouicem
Thread Scheduling in Multi-core Operating Systems Redha Gouicem To cite this version: Redha Gouicem. Thread Scheduling in Multi-core Operating Systems. Computer Science [cs]. Sor- bonne Université, 2020. English. tel-02977242 HAL Id: tel-02977242 https://hal.archives-ouvertes.fr/tel-02977242 Submitted on 24 Oct 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Ph.D thesis in Computer Science Thread Scheduling in Multi-core Operating Systems How to Understand, Improve and Fix your Scheduler Redha GOUICEM Sorbonne Université Laboratoire d’Informatique de Paris 6 Inria Whisper Team PH.D.DEFENSE: 23 October 2020, Paris, France JURYMEMBERS: Mr. Pascal Felber, Full Professor, Université de Neuchâtel Reviewer Mr. Vivien Quéma, Full Professor, Grenoble INP (ENSIMAG) Reviewer Mr. Rachid Guerraoui, Full Professor, École Polytechnique Fédérale de Lausanne Examiner Ms. Karine Heydemann, Associate Professor, Sorbonne Université Examiner Mr. Etienne Rivière, Full Professor, University of Louvain Examiner Mr. Gilles Muller, Senior Research Scientist, Inria Advisor Mr. Julien Sopena, Associate Professor, Sorbonne Université Advisor ABSTRACT In this thesis, we address the problem of schedulers for multi-core architectures from several perspectives: design (simplicity and correct- ness), performance improvement and the development of application- specific schedulers. -
Java Performance Mysteries
ITM Web of Conferences 7 09015 , (2016) DOI: 10.1051/itmconf/20160709015 ITA 2016 Java Performance Mysteries Pranita Maldikar, San-Hong Li and Kingsum Chow [email protected], {sanhong.lsh, kingsum.kc}@alibaba-inc.com Abstract. While assessing software performance quality in the cloud, we noticed some significant performance variation of several Java applications. At a first glance, they looked like mysteries. To isolate the variation due to cloud, system and software configurations, we designed a set of experiments and collected set of software performance data. We analyzed the data to identify the sources of Java performance variation. Our experience in measuring Java performance may help attendees in selecting the trade-offs in software configurations and load testing tool configurations to obtain the software quality measurements they need. The contributions of this paper are (1) Observing Java performance mysteries in the cloud, (2) Identifying the sources of performance mysteries, and (3) Obtaining optimal and reproducible performance data. 1 Introduction into multiple tiers like, client tier, middle-tier and data tier. For testing a Java EE workload theclient tier would Java is both a programming language and a platform. be a load generator machine using load generator Java as a programming language follows object-oriented software like Faban [2]. This client tier will consist of programming model and it requires Java Virtual users that will send the request to the application server Machine (Java Interpreter) to run Java programs. Java as or the middle tier.The middle tier contains the entire a platform is an environment on which we can deploy business logic for the enterprise application. -
Best Practices for Moving to Openjdk-10-18
TECHNOLOGY WHITE PAPER Best Practices for Moving to OpenJDK Best Practices for Moving to OpenJDK Since Java SE 7, the OpenJDK has been the reference implementation (RI) of the Java SE standard, as dened by the relevant Java Specication Request (JSR). A project was also created for OpenJDK 6 to allow an open-source implementation of Java SE 6 to be built. Azul Systems is the project lead for OpenJDK 6. OpenJDK is licensed under the GNU Public License (GPL) version 2 with classpath exception (CPE). The CPE eliminates the viral nature of the GPL from affecting applications running on the OpenJDK. Changes to JDK Binary Distribution and Updates In September 2017, Oracle announced a series of changes to the way the JDK would be developed, This whitepaper explains what Zulu is and how to migrate distributed and updated. These changes can be applications from the Oracle JDK to the Zulu builds of summarized as follows: OpenJDK. • The release of the JDK has changed to a time-based model with two releases every year, in March and September. • Oracle has started to produce a second binary distribution of the JDK, built using only the OpenJDK Introduction source code. This is released under the GPLv2 with How the Java Development Kit (JDK) is delivered is classpath exception license, which is less restrictive changing, and these changes will impact many Java than the Oracle Binary Code License for Java SE users. From JDK 11 (to be released in September 2018) used for the Oracle JDK binary. it will no longer be possible to use the Oracle JDK in • From JDK 11, there are no functional differences production without a commercial support agreement. -
Performance Comparison of Java and C++ When Sorting Integers and Writing/Reading Files
Bachelor of Science in Computer Science February 2019 Performance comparison of Java and C++ when sorting integers and writing/reading files. Suraj Sharma Faculty of Computing, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden This thesis is submitted to the Faculty of Computing at Blekinge Institute of Technology in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Sciences. The thesis is equivalent to 20 weeks of full-time studies. The authors declare that they are the sole authors of this thesis and that they have not used any sources other than those listed in the bibliography and identified as references. They further declare that they have not submitted this thesis at any other institution to obtain a degree. Contact Information: Author(s): Suraj Sharma E-mail: [email protected] University advisor: Dr. Prashant Goswami Department of Creative Technologies Faculty of Computing Internet : www.bth.se Blekinge Institute of Technology Phone : +46 455 38 50 00 SE-371 79 Karlskrona, Sweden Fax : +46 455 38 50 57 ii ABSTRACT This study is conducted to show the strengths and weaknesses of C++ and Java in three areas that are used often in programming; loading, sorting and saving data. Performance and scalability are large factors in software development and choosing the right programming language is often a long process. It is important to conduct these types of direct comparison studies to properly identify strengths and weaknesses of programming languages. Two applications were created, one using C++ and one using Java. Apart from a few syntax and necessary differences, both are as close to being identical as possible. -
Design and Analysis of a Scala Benchmark Suite for the Java Virtual Machine
Design and Analysis of a Scala Benchmark Suite for the Java Virtual Machine Entwurf und Analyse einer Scala Benchmark Suite für die Java Virtual Machine Zur Erlangung des akademischen Grades Doktor-Ingenieur (Dr.-Ing.) genehmigte Dissertation von Diplom-Mathematiker Andreas Sewe aus Twistringen, Deutschland April 2013 — Darmstadt — D 17 Fachbereich Informatik Fachgebiet Softwaretechnik Design and Analysis of a Scala Benchmark Suite for the Java Virtual Machine Entwurf und Analyse einer Scala Benchmark Suite für die Java Virtual Machine Genehmigte Dissertation von Diplom-Mathematiker Andreas Sewe aus Twistrin- gen, Deutschland 1. Gutachten: Prof. Dr.-Ing. Ermira Mezini 2. Gutachten: Prof. Richard E. Jones Tag der Einreichung: 17. August 2012 Tag der Prüfung: 29. Oktober 2012 Darmstadt — D 17 For Bettina Academic Résumé November 2007 – October 2012 Doctoral studies at the chair of Prof. Dr.-Ing. Er- mira Mezini, Fachgebiet Softwaretechnik, Fachbereich Informatik, Techni- sche Universität Darmstadt October 2001 – October 2007 Studies in mathematics with a special focus on com- puter science (Mathematik mit Schwerpunkt Informatik) at Technische Uni- versität Darmstadt, finishing with a degree of Diplom-Mathematiker (Dipl.- Math.) iii Acknowledgements First and foremost, I would like to thank Mira Mezini, my thesis supervisor, for pro- viding me with the opportunity and freedom to pursue my research, as condensed into the thesis you now hold in your hands. Her experience and her insights did much to improve my research as did her invaluable ability to ask the right questions at the right time. I would also like to thank Richard Jones for taking the time to act as secondary reviewer of this thesis. -
Java (Software Platform) from Wikipedia, the Free Encyclopedia Not to Be Confused with Javascript
Java (software platform) From Wikipedia, the free encyclopedia Not to be confused with JavaScript. This article may require copy editing for grammar, style, cohesion, tone , or spelling. You can assist by editing it. (February 2016) Java (software platform) Dukesource125.gif The Java technology logo Original author(s) James Gosling, Sun Microsystems Developer(s) Oracle Corporation Initial release 23 January 1996; 20 years ago[1][2] Stable release 8 Update 73 (1.8.0_73) (February 5, 2016; 34 days ago) [±][3] Preview release 9 Build b90 (November 2, 2015; 4 months ago) [±][4] Written in Java, C++[5] Operating system Windows, Solaris, Linux, OS X[6] Platform Cross-platform Available in 30+ languages List of languages [show] Type Software platform License Freeware, mostly open-source,[8] with a few proprietary[9] compo nents[10] Website www.java.com Java is a set of computer software and specifications developed by Sun Microsyst ems, later acquired by Oracle Corporation, that provides a system for developing application software and deploying it in a cross-platform computing environment . Java is used in a wide variety of computing platforms from embedded devices an d mobile phones to enterprise servers and supercomputers. While less common, Jav a applets run in secure, sandboxed environments to provide many features of nati ve applications and can be embedded in HTML pages. Writing in the Java programming language is the primary way to produce code that will be deployed as byte code in a Java Virtual Machine (JVM); byte code compil ers are also available for other languages, including Ada, JavaScript, Python, a nd Ruby. -
JVM Ecosystem Report 2021 Table of Contents
JVM Ecosystem Report 2021 Table of contents Introduction 3 Report highlights 4 JDKs in production 5 JDKs in development 7 JDK versions in production environments 9 JDK versions in development 11 Java, Changing Faster Than Ever After 26 Years 12 JVM languages used for applications in production 14 Most popular IDEs 18 Tools for building applications 20 Securing vulnerabilities in the Java ecosystem with Snyk 22 Application frameworks 25 Demographics 26 The State of Spring 29 Introduction Welcome to our annual JVM ecosystem report! This report presents the results of the largest annual survey on the state of the JVM ecosystem. The survey was conducted over a period of six weeks through February and March 2021, gathering the responses of over 2000 Java developers. This year's survey is a cooperation between Snyk and Azul and was slightly different from the previous surveys. We aimed for the survey to be more concise and focus only on the most important aspects of JVM developers today. Additionally, this year every participant was allowed to choose multiple options. We believe that the way the 2021 survey was designed, we have a better and more comprehensive view of the current JVM ecosystem. In addition, in this report, we also looked at different open data sources like GitHub and Google Trends to see how that data compares to the survey results. We would like to thank everyone who participated and offered their insights on Java and JVM-related topics. For this survey, we teamed up with conferences and communities across the JVM ecosystem to reach as many developers as possible. -
Virtual Appliances for Applications High Performance, High Density & Operationally Efficient Java Virtualization
Virtual Appliances for Applications High Performance, High Density & Operationally Efficient Java Virtualization Axel Grosse Principal Sales Consultant Server Technologies Competence Center – FMW Mitte 1 The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle. 2 Cloud auf dem Peak der Hype Kurve Source: Gartner "Hype Cycle for Cloud Computing, 2009" Research Note G00168780 3 SaaS, PaaS und IaaS Anwendungen als Service für Software as a Service Endbenutzer im Netzwerk Entwicklungs- und Deployment Platform as a Service Plattformen als Service im Netzwerk Server, Storage und Netzwerk Infrastructure as a Service Hardware samt dazugehöriger Software als Service im Netzwerk 4 Public Clouds und Private Clouds Public Clouds Private Cloud • Externer Anbieter • Eigene IT als Anbieter • Weniger Aufwand I I SaaS SaaS N N • Mehr Aufwand • Weniger Einfluss T T PaaS auf PaaS E R • Mehr Einfluss A R IaaS •Sicherheit N N IaaS •Verfügbarkeit E E T T •... Benutzer 5 Cloud Computing: Oracle’s Perspektive • Basiert auf neuen Ideen und Möglichkeiten, basiert jedoch auf etablierter Technologie • Interessante Vorteile begleitet von ernstzunehmenden Bedenken • Unternehmen werden einen