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Performance Implications of Over-allocation of Virtual CPUs
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering.
2015 (English)In: 2015 International Symposium on Networks, Computers and Communications (ISNCC 2015), IEEE , 2015Conference paper, Published paper (Refereed)
Abstract [en]

A major advantage of cloud environments is that one can balance the load by migrating virtual machines (VMs) from one server to another. High performance and high resource utilization are also important in a cloud. We have observed that over-allocation of virtual CPUs to VMs (i.e. allocating more vCPUs to VMs than there CPU cores on the server) when there are many VMs running on one host can reduce performance. However, if we do not use any over-allocation of virtual CPUs we may suffer from poor resource utilization after VM migration. Thus, it is important to identify and quantify performance bottlenecks when running in virtualized environment. The results of this study will help virtualized environment service providers to decide how many virtual CPUs should be allocated to each VM.

Place, publisher, year, edition, pages
IEEE , 2015.
Keywords [en]
virtualization, over-allocation, VMware, virtual CPUs
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-14572ISI: 000380545000019ISBN: 978-1-4673-7467-5 (print)OAI: oai:DiVA.org:bth-14572DiVA, id: diva2:1111576
Conference
2015 International Symposium on Networks, Computers and Communications (ISNCC 2015), MAY 13-15, 2015, Yasmine Hammamet, TUNISIA
Available from: 2017-06-19 Created: 2017-06-19 Last updated: 2018-11-06Bibliographically approved
In thesis
1. Performance Implications of Virtualization
Open this publication in new window or tab >>Performance Implications of Virtualization
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Virtualization is a component of cloud computing. Virtualization transforms traditional inflexible, complex infrastructure of individual servers, storage, and network hardware into a flexible virtual resource pool and increases IT agility, flexibility, and scalability while creating significant cost savings. Additional benefits of virtualization include, greater work mobility, increased performance and availability of resources, and automated operations. Many virtualization solutions have been implemented. There are plenty of cloud providers using different virtualization solutions to provide virtual machines (VMs) and containers, respectively. Various virtualization solutions have different performance overheads due to their various implementations of virtualization and supported features. A cloud user should understand performance overheads of different virtualization solutions and the impact on the performance caused by different virtualization features, so that it can choose appropriate virtualization solution, for the services to avoid degrading their quality of services (QoSs). In this research, we investigate the impacts of different virtualization technologies such as, container-based, and hypervisor-based virtualization as well as various virtualization features such as, over-allocation of resources, live migration, scalability, and distributed resource scheduling on the performance of various applications for instance, Cassandra NoSQL database, and a large telecommunication application. According to our results, hypervisor-based virtualization has many advantages and is more mature compare to the recently introduced container-based virtualization. However, impacts of the hypervisorbased virtualization on the performance of the applications is much higher than the container-based virtualization as well as the non-virtualized solution. The findings of this research should be of benefit to the ones who provide planning, designing, and implementing of the IT infrastructure.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019. p. 211
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 1
Keywords
Cloud computing, Virtualization
National Category
Computer Systems
Identifiers
urn:nbn:se:bth-17217 (URN)978-91-7295-361-1 (ISBN)
Public defence
2019-01-16, J1650, Campus Gräsvik, Karlskrona, 13:00 (English)
Opponent
Supervisors
Available from: 2018-11-05 Created: 2018-11-02 Last updated: 2019-01-22Bibliographically approved

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Shirinbab, SogandLundberg, Lars

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