University of Bahrain
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Managing Performance Interference Effects for Intelligent and Efficient Virtual Machines Placement based on GWO Approach in Cloud

Show simple item record HAMDI, Hedi AMRI, Sabrine Brahmi, Zaki 2019-06-16T12:09:03Z 2019-06-16T12:09:03Z 2019-07-01
dc.identifier.issn 2210-142X
dc.description.abstract Cloud computing paradigm has been a trend in the computational world. Thus, many service providers today are competing to enhance their features to attract more customers as they are offering them a bunch of features through a pay-as-you-go pricing model. However, despite their huge fame, cloud environments still suffer from some issues that are being studied by researchers from various perspectives. One of the controversial cloud issues nowadays is interference among virtual machines (VMs) sharing the same hardware platform called also physical machine (PM). This problem occurs due to contention on shared resources (e.g. CPU, disk, memory, network I/O, etc.) between co-hosted VMs which results in a performance degradation. The co-hosting of VMs on the same PM, emerges from the ambition of server consolidation that cloud providers aim to reach in order to improve power efficiency and optimize resource utilization. Furthermore, the Virtual Machine Placement (VMP) is one of the most challenging problems in cloud environments management and it is being studied from various perspectives. Therefore, the key factor of successful server consolidation is to minimize performance interference among co-located VMs. In this paper, we are going to review two closely related research lines (i.e. the inter-VM interference detection and/or prediction and the interference-aware virtual machine placement in cloud computing environments), give a comparative study between the reviewed approaches for each of them and propose our Swarm intelligence-based metaheuristic, named Grey Wolf Optimizer (GWO) approach, for interference aware Virtual Machine Placement Problem (VMPP). en_US
dc.language.iso en_US en_US
dc.publisher University of Bahrain en_US
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri *
dc.subject Cloud Computing en_US
dc.subject Virtual Machine (VM) en_US
dc.subject Physical Machine (PM) en_US
dc.subject VM Placement (VMP) en_US
dc.subject Server Consolidation en_US
dc.subject Resource Utilization en_US
dc.subject Performance Interference en_US
dc.subject SLA violation en_US
dc.subject Grey Wolf Optimizer (GWO) en_US
dc.subject Swarm Intelligence metaheuristic en_US
dc.title Managing Performance Interference Effects for Intelligent and Efficient Virtual Machines Placement based on GWO Approach in Cloud en_US
dc.type Article en_US
dc.volume 08 en_US
dc.issue 04 en_US
dc.pagestart 317 en_US
dc.pageend 332 en_US
dc.contributor.authorcountry Saudi Arabia en_US
dc.contributor.authorcountry Canada en_US
dc.contributor.authorcountry Saudi Arabia en_US
dc.contributor.authoraffiliation Jouf university Sekaka, Kingdom of Saudi Arabia en_US
dc.contributor.authoraffiliation University of Monteral Montral, QC H3T 1J4, Canada en_US
dc.contributor.authoraffiliation Taibah University Al-Ola, Kingdom of Saudi Arabia en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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