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11th International Conference, Hong Kong, China, December 12-14, 2010 : proceedings

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The cover of “Web information systems engineering, WISE 2010” - Open Library.

"Web information systems engineering, WISE 2010" was published by Springer in 2010 - Berlin, it has 641 pages and the language of the book is English.


“Web information systems engineering, WISE 2010” Metadata:

  • Title: ➤  Web information systems engineering, WISE 2010
  • Author: ➤  
  • Language: English
  • Number of Pages: 641
  • Publisher: Springer
  • Publish Date:
  • Publish Location: Berlin
  • Dewey Decimal Classification: 004.678019
  • Library of Congress Classification: TK5105.888 .I57175 2010TK5105.5-5105.9QA76.

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  • Pagination: xv, 641 p. :

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"Web information systems engineering, WISE 2010" Description:

Open Data:

Title Page -- Preface -- Organization -- Table of Contents -- Keynotes -- Providing Scalable Database Services on the Cloud -- Introduction -- Challenges of Building Data Management Applications in the Cloud -- Lessons Learned from Previous Work -- How to Manage the Cloud - The Essential of Cloud -- epiC, Elastic Power-Aware Data Intensive Cloud System -- Query Interface and Optimization -- E3: Elastic Execution Engine -- ES2: Elastic Storage System -- Conclusion -- References -- Search and Social Integration -- Elements of a Spatial Web -- The Ubiquitous DBMS -- Web Service -- Building Web Services Middleware with Predictable Service Execution -- Introduction -- Guidelines -- Case Study -- Enhancements Made to Axis2 -- Enhancements Made to Synapse -- Minimising Priority Inversions -- Empirical Evaluation -- Related Work -- Conclusion -- References -- Event Driven Monitoring for Service Composition Infrastructures -- Introduction -- Illustrative Example -- The AddSubscriber and AddService Composition -- Event Driven Monitoring -- Event Model -- Event Processing Language -- Architectural Approach -- Implementation -- Evaluation -- System Performance -- Discussion -- Related Work -- Conclusion -- References -- On Identifying and Reducing Irrelevant Information in Service Composition and Execution -- Introduction -- Motivating Examples -- Irrelevant Information Problems in Service Composition and Execution -- Enhancing Context and Quality Support for Information about Services and Their Data -- Reducing Services and Resources by Qualifying Non-functional Information -- Quality of Data Metrics for Information about Service -- Filtering Service Information Using Quality of Data Metrics -- Experiments -- Reducing Services by Using the Interpretability Metric -- Reducing Irrelevant Services by Qualifying NFPs -- Related Work

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