NDLI: An efficient framework to handle integrated VM workloads in heterogeneous cloud infrastructure

Content Provider	Springer Nature Link
Author	Peer Mohamed, Mohamed Shameem Swarnammal, Shaji Ramaswamy
Copyright Year	2016
Abstract	When a virtual machine migrates to a host, virtual machine placement is used to estimate the suitability of available host. The virtual machine placement algorithm evaluates the performance data for the host, settings of hardware, resource requirements, and host ratings to provide the best placement on host. Generally, the service providers cannot manage or control the cloud infrastructure including operating system, servers, storage and the placement of service components. This lack of consequence is a deterrent to cloud adoption for some customers. This paper presents an approach for customers to handle the integrated virtual machine workloads. The fuzzy decision making approach, integer linear programming and cost factors such as strategic decision, selection of cloud computing services and its types are considered in this paper. The fuzzy quantifiers are used for selecting the number of virtual machines in the environment and it optimizes the demand of the cloud resources in distributed environment. Integer linear programming constraints have been used to enable infrastructure providers to optimize the placement of virtual machines and algorithms to provide service provider effect. The experimental results show that the proposed approach provides better performance than all other existing techniques such as Markov chain model and optimal crossover genetic algorithm.
Starting Page	3367
Ending Page	3376
Page Count	10
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	21
Issue Number	12
e-ISSN	14337479
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-01-11
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Distributed environment Fuzzy decision Integer linear programming Service providers Virtual machine Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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