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Cloud Service Benchmarking : Measuring Quality of Cloud Services from a Client Perspective / by David Bermbach, Erik Wittern, Stefan Tai

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection Computer SciencePublisher: Cham : Springer, 2017Description: Online-Ressource (XIV, 167 p. 25 illus., 11 illus. in color, online resource)ISBN:
  • 9783319554839
Subject(s): Additional physical formats: 9783319554822 | Erscheint auch als: Cloud service benchmarking. Druck-Ausgabe Cham : Springer, 2017. xiv, 167 Seiten | Printed edition: 9783319554822 DDC classification:
  • 004.24
RVK: RVK: SR 870LOC classification:
  • QA76.9.E94
DOI: DOI: 10.1007/978-3-319-55483-9Online resources: 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 book is divided into five parts: Part I discusses what cloud benchmarking is, provides an overview of cloud services and their key properties, and describes the notion of a cloud system and cloud-service quality. It also addresses the benchmarking lifecycle and the motivations behind running benchmarks in particular phases of an application lifecycle. Part II then focuses on benchmark design by discussing key objectives (e.g., repeatability, fairness, or understandability) and defining metrics and measurement methods, and by giving advice on developing own measurement methods and metrics. Next, Part III explores benchmark execution and implementation challenges and objectives as well as aspects like runtime monitoring and result collection. Subsequently, Part IV addresses benchmark results, covering topics such as an abstract process for turning data into insights, data preprocessing, and basic data analysis methods. Lastly, Part V concludes the book with a summary, suggestions for further reading and pointers to benchmarking tools available on the Web. The book is intended for researchers and graduate students of computer science and related subjects looking for an introduction to benchmarking cloud services, but also for industry practitioners who are interested in evaluating the quality of cloud services or who want to assess key qualities of their own implementations through cloud-based experimentsSummary: 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: Summary & Outlook -- ReferencesPPN: PPN: 1657606007Package identifier: Produktsigel: ZDB-2-SCS
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