Customizable and Extensible Infrastructure Support for Web Scheduling and Caching Policies PDF Download

Author: James Charles Barnes
Publisher:
ISBN:
Category :
Languages : en
Pages : 430

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Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 656

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Author:
Publisher:
ISBN:
Category : Dissertation abstracts
Languages : en
Pages : 776

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Author: Jan Bajerski
Publisher: IBM Redbooks
ISBN: 0738438278
Category : Computers
Languages : en
Pages : 186

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Book Description
In the dynamic business environment of today, Information Technology (IT) organizations face challenges around scalability and performance. This IBM® Redbooks® publication is targeted for IT architects, IT personnel, and developers who are looking to integrate caching technologies, specifically elastic caching, into their business environment to enhance scalability and performance. Although it is helpful to know caching technologies, an introduction to caching technologies in general is included. In addition, technical details are provided about implementing caching by using several IBM products. The IBM WebSphere® eXtreme Scale product provides several functions to enhance application performance and scalability. It provides distributed object caching functionality, which is essential for elastic scalability and next-generation cloud environments. It helps applications process massive volumes of transactions with extreme efficiency and linear scalability. By using the scalable in-memory data grid, enterprises can benefit from a powerful, high-performance elastic cache. The IBM WebSphere DataPower® XC10 Appliance enables your business-critical applications to scale cost effectively with consistent performance by using elastic caching in a purpose-built, easy-to-use appliance. This publication explains the benefits of using various caching techniques in your enterprise, specifically involving the use of IBM WebSphere eXtreme Scale and the IBM WebSphere DataPower XC10 Appliance. Three real-world scenarios are described that use these enterprise caching technologies to solve issues that face the businesses of today.

Author: Rajkumar Buyya
Publisher: John Wiley & Sons
ISBN: 1118002202
Category : Computers
Languages : en
Pages : 607

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Book Description
The primary purpose of this book is to capture the state-of-the-art in Cloud Computing technologies and applications. The book will also aim to identify potential research directions and technologies that will facilitate creation a global market-place of cloud computing services supporting scientific, industrial, business, and consumer applications. We expect the book to serve as a reference for larger audience such as systems architects, practitioners, developers, new researchers and graduate level students. This area of research is relatively recent, and as such has no existing reference book that addresses it. This book will be a timely contribution to a field that is gaining considerable research interest, momentum, and is expected to be of increasing interest to commercial developers. The book is targeted for professional computer science developers and graduate students especially at Masters level. As Cloud Computing is recognized as one of the top five emerging technologies that will have a major impact on the quality of science and society over the next 20 years, its knowledge will help position our readers at the forefront of the field.

Author: David Ziembicki
Publisher: Microsoft Press
ISBN: 0735682992
Category : Computers
Languages : en
Pages : 240

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Book Description
Part of a series of specialized guides on System Center - this book delivers a focused drilldown into designing runbooks for Orchestrator workflow management solutions. Series editor Mitch Tulloch and a team of System Center experts provide concise technical guidance as they step you through key design concepts, criteria, and tasks.

Author: Wei-Dong Zhu
Publisher: IBM Redbooks
ISBN: 0738439215
Category : Computers
Languages : en
Pages : 566

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Book Description
IBM® Content Navigator provides a unified user interface for your Enterprise Content Management (ECM) solutions. It also provides a robust development platform so you can build customized user interface and applications to deliver value and an intelligent, business-centric experience. This IBM Redbooks® publication guides you through the Content Navigator platform, its architecture, and the available programming interfaces. It describes how you can configure and customize the user interface with the administration tools provided, and how you can customize and extend Content Navigator using available development options with sample code. Specifically, the book shows how to set up a development environment, and develop plug-ins that add an action, service, and feature to the user interface. Customization topics include implementing request and response filters, external data services (EDS), creating custom step processors, and using Content Navigator widgets in other applications. This book also covers mobile development, viewer customization, component deployment, and debugging and troubleshooting. This book is intended for IT architects, application designers and developers working with IBM Content Navigator and IBM ECM products. It offers a high-level description of how to extend and customize IBM Content Navigator and also more technical details of how to do implementations with sample code.

Author: Rajkumar Buyya
Publisher: Newnes
ISBN: 0124095399
Category : Computers
Languages : en
Pages : 469

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Book Description
Mastering Cloud Computing is designed for undergraduate students learning to develop cloud computing applications. Tomorrow's applications won't live on a single computer but will be deployed from and reside on a virtual server, accessible anywhere, any time. Tomorrow's application developers need to understand the requirements of building apps for these virtual systems, including concurrent programming, high-performance computing, and data-intensive systems. The book introduces the principles of distributed and parallel computing underlying cloud architectures and specifically focuses on virtualization, thread programming, task programming, and map-reduce programming. There are examples demonstrating all of these and more, with exercises and labs throughout. - Explains how to make design choices and tradeoffs to consider when building applications to run in a virtual cloud environment - Real-world case studies include scientific, business, and energy-efficiency considerations

Author: National Research Council
Publisher: National Academies Press
ISBN: 0309287812
Category : Mathematics
Languages : en
Pages : 191

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Book Description
Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Author: Niall Richard Murphy
Publisher: "O'Reilly Media, Inc."
ISBN: 1491951176
Category :
Languages : en
Pages : 552

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Book Description
The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization. This book is divided into four sections: Introduction—Learn what site reliability engineering is and why it differs from conventional IT industry practices Principles—Examine the patterns, behaviors, and areas of concern that influence the work of a site reliability engineer (SRE) Practices—Understand the theory and practice of an SRE’s day-to-day work: building and operating large distributed computing systems Management—Explore Google's best practices for training, communication, and meetings that your organization can use