1. Place animal in induction chamber and anesthetize the mouse and ensure sedation. 2. Once the animal is sedated, move it to a nose cone for hair removal using cream. Only apply cream to the area of the chest that will be utilized for imaging. Once the hair is removed, wipe area with wet gauze to ensure all hair is removed. 3. Move the animal to the imaging platform and tape its paws to the ECG lead plates and insert rectal probe. Body temperature should be maintained at 36-37°C. During imaging, reduce anesthesia to maintain proper heart rate. If the animal shows signs of being awake, use a higher concentration of anesthetic.

人唾液天疱疮抗原的纯化

Performance (noun) the manner in which or the efficiency with which something reacts or fulfils its intended purpose. – Random House Webster’s College Dictionary Distributed component-based systems (DCS) are becoming increasingly ubiquitous as enabling technology for modern enterprise applications. In the face of globalization and ever increasing competition, Quality of Service (QoS) requirements on such systems, like performance, availability and reliability are of crucial importance. In order to survive, businesses must ensure that the systems they operate, not only provide all relevant services, but also meet the performance expectations of their users. To avoid the pitfalls of inadequate QoS, it is important to analyze the expected performance characteristics of systems during all phases of their life cycle. However, as systems grow in size and complexity, analyzing their expected performance becomes a more and more challenging task. System architects and deployers are often faced with questions such as the following: Which deployment platform (hardware and software) would provide the best scalability and cost/performance ratio for a given application? For a given platform, what performance would the application exhibit under the expected workload and how much hardware would be needed to meet the service level agreements? In seeking answers to these questions, system developers nowadays often rely on their intuition, marketing studies, expert opinions, past experiences, ad hoc procedures or general rules of thumb. As a result, the overall system capacity is unknown and capacity planning and procurement are done without a sufficient consideration given to the QoS requirements. In the pressure to release new applications as early as possible, more often than not, performance is considered as an afterthought. In this thesis, a systematic approach for performance engineering of DCS is developed that helps to identify performance and scalability problems early in the development cycle and ensure that systems are designed and sized to meet their QoS

Performance Engineering of Distributed Component-based Systems: Benchmarking, Modeling and Performance Prediction

An end-to-end runtime path-tracing approach for J2EE systems has been introduced. The approach is non-intrusive and thus does not require instrumentation of middleware or application source code. The implementation of the system has been realised in the COMPAS Java end-to-end monitoring tool that extends and integrates a number of open source projects. The first set of results shows the performance overhead associated with the tool. Further results show the portability of this approach, by applying it to a number of different application server implementations. Finally, it is also shown that runtime paths collected by the implementation can be used for reasoning about the overall system structure and design of complex enterprise applications.

Non-intrusive end-to-end runtime path tracing for J2EE systems

Over the past couple of years the JBoss application server has established itself as a competitive open-source alternative to commercial J2EE platforms. Although it has been criticized for having poor scalability and performance, it keeps gaining in popularity and market share. In this paper, we present an experience report with a deployment of the industry-standard SPECjAppServer2004 benchmark on JBoss. Our goal is to study how the performance of JBoss applications can be improved by exploiting different deployment options offered by the JBoss platform. We consider a number of deployment alternatives including different JVMs, different Web containers, deployment descriptor settings and data access optimizations. We measure and analyze their effect on the overall system performance in both single-node and clustered environments. Finally, we discuss some general problems we encountered when running the benchmark under load.

/pdf/performance-tuning-and-optimization-of-j2ee-applications-on-3vpu7t9jo3.pdf

Performance tuning and optimization of J2EE applications on the JBoss platform

Performance Engineering of Distributed Component-Based Systems - Benchmarking, Modeling and Performance Prediction

(NOTE: Each chapter concludes with a Summary.) Introduction. 1. Installing and Building the JBoss Server. Getting the Binary. Installing the Binary Package. Directory Structure. Configuration Files. Testing the Installation. Building the Server from Source Code. 2. JBoss Server Architecture Overview. JMX. JBoss and JMX. The EJB Container Architecture. 3. JBossNS-The JBoss JNDI Naming Service. An Overview of JNDI. J2EE and JNDI-The Application Component Environment. The JBossNS Architecture. Additional Naming MBeans. 4. JBossMQ-The JBoss JMS Messaging Service Implementation. An Overview of JMS. An Overview of the JBossMQ Architecture. Configuring JBossMQ. 5. JBossCMP-The JBoss Container-Managed Persistence Layer. Container Managed Persistence-CMP. The JBossCMP Architecture. JAWS-The Default CMP Implementation. Customizing the Behavior of JAWS. Configuring JDBC. 6. JBossTX - The JBoss Transaction Manager. Transaction/JTA Overview. JBoss Transaction Internals. 7. JBossCX-The JBoss Connector Architecture. JCA Overview. An Overview of the JBossCX Architecture. 8. JBossSX-The JBoss Security Extension Framework. J2EE Declarative Security Overview. An Introduction to JAAS. The JBoss Security Model. The JBossSX Security Extension Architecture. Using and Writing JBossSX Login Modules. The Secure Remote Password (SRP) Protocol. Running JBoss With a Java 2 Security Manager. Using SSL with JBoss Using JSSE. 9. Advanced JBoss Configuration Using jboss.xml. The jboss.xml Descriptor. 10. Integrating Web Containers. The AbstractWebContainer Class. JBoss/Tomcat-4.x Bundle Notes. 11. Using JBoss. Building and Running Enterprise Applications with JBoss. Migrating the Java Pet Store 1.1.2 Application to JBoss. Using the JBossTest Unit Test Suite. Appendix A. About The JBoss Group. The GNU Lesser General Public liceNse (LGPL) and X License. Appendix B. JBoss Descriptor Schema Reference. The JBoss Server jboss.xml Descriptor DTD. The JBoss Server jaws.xml Descriptor DTD. The JBoss Server jboss-web.xml Descriptor DTD. The JBoss Server jboss.jcml Configuration File DTD. The JBoss Server jbossmq-state.xml Configuration File DTD. Appendix C. The CD Contents. Appendix D. Tools and Book Examples. Using Ant. Using the Log4j Framework in JBoss. Installing and Using the Book Examples.

JBoss Administration and Development

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Marc Fleury

Author Tools

Chat about Author

Papers

JBoss Administration and Development