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Author: 肖鹏程

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Cloud Service Benchmarking : Measuring Quality of Cloud Services from a Client Perspective /

Cloud service benchmarking can provide important, sometimes surprising insights into the quality of services and leads to a more quality-driven design and engineering of complex software architectures that use such services. Starting with a broad introduction to the field, this book guides readers s...

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Bibliographic Details
Main Authors: Bermbach, David
Corporate Authors: SpringerLink Online service
Group Author: Wittern, Erik; Tai, Stefan
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Subjects:
Computer science
Computer communication systems
Computer system failures
Software engineering
System Performance and Evaluation
Computer Communication Networks
Online Access: http://dx.doi.org/10.1007/978-3-319-55483-9
Summary: Cloud service benchmarking can provide important, sometimes surprising insights into the quality of services and leads to a more quality-driven design and engineering of complex software architectures that use such services. Starting with a broad introduction to the field, this book guides readers step-by-step through the process of designing, implementing and executing a cloud service benchmark, as well as understanding and dealing with its results. It covers all aspects of cloud service benchmarking, i.e., both benchmarking the cloud and benchmarking in the cloud, at a basic level. The boo
Carrier Form: 1 online resource (XIV, 167 pages): illustrations
ISBN: 9783319554839
Index Number: QA76
CLC: TP302
Contents: Part I: Fundamentals -- Chapter 1: Benchmarking -- Chapter 2: The Cloud -- Chapter 3: Quality -- Chapter 4: Motivations -- Part II: Benchmark Design -- Chapter 5: Design Objectives -- Chapter 6: Quality Metrics -- Chapter 7: Measurement Methods -- Chapter 8: Workloads -- Part III: Benchmark Execution -- Chapter 9: Implementation Objectives -- Chapter 10: Experiment Setup -- Chapter 11: Experiment Runtime -- Part IV: Benchmark Results -- Chapter 12: Managing Data -- Chapter 13: Gaining Insights -- Chapter 14: Leveraging Results -- Part IV: Conclusions -- Chapter 15: Case Studies -- Chapter 16

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