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A Toolkit for Modeling and Simulation of Real-time Virtual Machine Allocation in a Cloud Data Center

By: , Posted on: November 14, 2014

For your reading pleasure here is Chapter 11: A Toolkit for Modeling and Simulation of Real-time Virtual Machine Allocation in a Cloud Data Center from new book, Optimized Cloud Resource Management and Scheduling by Wenhong Tian and Yong Zhao:

In this Chapter, two existing simulation systems at application level for Cloud computing are studied, a new lightweight simulation system is proposed for dynamic resource scheduling in Cloud data centers, and results by using the proposed simulation system are analyzed and discussed. Enjoy:

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Optimized Cloud Resources Management and Scheduling CoverMain contents of this chapter:

  • CloudSched  architecture  and main features
  • Performance metrics for different scheduling algorithms Status and trends of Cloud computing
  • Design and implementation  of CloudSched
  • Performance evaluation

Like what you’ve read so far? Optimized Cloud Resource Management and Scheduling is available for purchase on the Elsevier Store. You can save up to 30% on your very own copy using discount code “STC3014” at checkout!

You can also read Chapter 1: An introduction to Cloud Computing and Chapter 2: Big Data Technologies and Cloud Computing.

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Computer Science

Computing functionality is ubiquitous. Today this logic is built into almost any machine you can think of, from home electronics and appliances to motor vehicles, and it governs the infrastructures we depend on daily — telecommunication, public utilities, transportation. Maintaining it all and driving it forward are professionals and researchers in computer science, across disciplines including:

  • Computer Architecture and Computer Organization and Design
  • Data Management, Big Data, Data Warehousing, Data Mining, and Business Intelligence (BI)
  • Human Computer Interaction (HCI), User Experience (UX), User Interface (UI), Interaction Design and Usability
  • Artificial intelligence (AI)
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