Optimized cloud resource management and scheduling : theory by Wenhong Dr. Tian, Yong Dr. Zhao

By Wenhong Dr. Tian, Yong Dr. Zhao

Optimized Cloud source administration and Scheduling identifies examine instructions and applied sciences that may facilitate effective administration and scheduling of computing assets in cloud facts facilities aiding medical, business, company, and buyer functions. It serves as a helpful reference for platforms architects, practitioners, builders, researchers and graduate point students.

  • Explains find out how to optimally version and agenda computing assets in cloud computing
  • Provides intensive caliber research of alternative load-balance and energy-efficient scheduling algorithms for cloud facts facilities and Hadoop clusters
  • Introduces real-world functions, together with enterprise, clinical and similar case studies
  • Discusses diverse cloud systems with actual test-bed and simulation tools

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Eucalyptus is an open-source Cloud computing platform that attempts to clone AWS. It has realized functionalities similar to Amazon EC2, achieving flexible and practical Cloud computing with computing clusters and workstation clusters; it provides compatibility interfaces for EC2 and S3 systems. The applications that use these interfaces can interact directly with Eucalyptus, and it supports Xen [20] and KVM [21] virtualization technology, as well as Cloud management tools for system management and user account settlements.

High scalability: data allocation and computing task completion occurs in available computer clusters, and these clusters can be expanded to the scale of thousands of nodes easily. Big Data Technologies and Cloud Computing 37 3. High efficiency: data can be dynamically moved between nodes and the dynamic balance of each node is ensured, thus the processing speed is very fast. 4. High fault-tolerance: multiple copies of data can be saved automatically and failed tasks are reassigned automatically.

Use of local memory on every processing node to avoid disk I/O bottlenecks and to minimize latency. 4. Use of a decentralized, peer-to-peer architecture; all nodes provide the same functions and responsibilities with no central node to take special responsibility. This greatly simplifies deployment and maintenance. 5. Use of a pluggable architecture to keep the design as generic and customizable as possible. 6. A user-friendly design concept—that is, one that is easy to program and is flexible.

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