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Virtualized cloud data center networks : issues in resource management
Tsai L., Liao W., Springer International Publishing, New York, NY, 2016. 57 pp. Type: Book (978-3-319326-30-6)
Date Reviewed: Oct 20 2016

The replacement of “real” information and communications technology infrastructure with cloud-based services perhaps reaches its pinnacle in the multitenant cloud data center. The value proposition associated with cloud solutions is based largely on the economies of scale and high utilization of the infrastructure used to deliver cloud services. Tsai and Liao discuss the management of resources in virtualized cloud data centers to deliver consistent services in an environment of dynamic service demands.

Chapter 1 introduces the basic building blocks of a virtual cloud data center. Cloud computing, server virtualization and consolidation, network topologies, and intraservice communications are introduced.

Chapter 2 reviews traditional algorithms for allocation and relocation of virtual machine (VM) guests across physical server infrastructure. The authors then present in some detail their proposed framework to strike a balance between the two conflicting factors of consolidation effectiveness and VM migration overheads.

In chapter 3, Tsai and Liao present their concept for dynamic, cost-effective partitioning of hierarchical data center networks into several star networks. Their goal is to provision each service with a star network that is independent from and not impacted by other services in the data center. The ability of the authors’ proposed fat-tree network framework (StarCube) to avoid network contention is examined in some detail.

In virtualized data center environments, VM loads are allocated and reallocated across physical network infrastructure in response to dynamic changes in load and resource requirements. Chapter 4 covers balancing the dual issues of maximizing server resource efficiency and minimizing the cost of rapidly relocating multiple VMs simultaneously across internal network infrastructure.

Chapter 5 reviews and evaluates the expected performance and efficiency of the authors’ proposed mechanisms in more detail. The cost and effectiveness of server consolidation and the authors’ StarCube network framework are examined with worked examples and experimental results.

Chapter 6 is a short conclusion, summarizing the mechanisms for cloud resource management and optimization, the issues associated with resource contention, and the authors’ proposed frameworks for resolving those issues.

The book is part of the “Springer Briefs” series, aimed at presenting short (the book is just 57 pages) synopses on various technical topics. This small book is packed with technical detail and well supported with figures and examples. There is a thorough table of contents, and each chapter finishes with a list of references.

This is a good, detailed foundation for understanding the mechanisms involved in successfully managing and resourcing high-performance, multitenant cloud data centers. In summary, this is a short book, but is definitely not a light read.

Reviewer:  David B. Henderson Review #: CR144860 (1701-0005)
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