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Practical, real-world solutions are given to potential problems covering the entire system life cycle. This book describes how to map real-life systems (databases, data centers, and e-commerce applications) into analytic performance models. The authors elaborate upon these models and use them to help the reader better understand performance issues.
This book presents analysis techniques for quantifying and projecting every element of your e-business site's performance and planning for the capacity you need.
MenascT (computer science, George Mason U.) and Almeida (computer science, U. of Minas Gerais, Brazil) provide a quantitative analysis of Web service availability and a framework for understanding and planning Web services. They discuss benchmarking, load testing, workload forecasting, and performan
Service computing is a cutting-edge area, popular in both industry and academia. New challenges have been introduced to develop service-oriented systems with high assurance requirements. High Assurance Services Computing captures and makes accessible the most recent practical developments in service-oriented high-assurance systems. An edited volume contributed by well-established researchers in this field worldwide, this book reports the best current practices and emerging methods in the areas of service-oriented techniques for high assurance systems. Available results from industry and government, R&D laboratories and academia are included, along with unreported results from the “hands-on” experiences of software professionals in the respective domains. Designed for practitioners and researchers working for industrial organizations and government agencies, High Assurance Services Computing is also suitable for advanced-level students in computer science and engineering.
This book constitutes the refereed proceedings of the 4th International Conference on Service-Oriented Computing, ICSOC 2006, held in Chicago, IL, USA, December 2006. Coverage in this volume includes service mediation, grid services and scheduling, mobile and P2P services, adaptive services, data intensive services, XML processing, service modeling, service assembly, experience with deployed SOA, and early adoption of SOA technology.
This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing system...