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Performance evaluation of distributed storage systems for cloud computing
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2013 (English)In: International Journal of Computers and Their Applications, ISSN 1076-5204, Vol. 20, no 4, p. 195-207Article in journal (Refereed) Published
Abstract [en]

The possibility to migrate a virtual server from one physical computer in a cloud to another physical computer in the same cloud is important in order to obtain a balanced load. In order to facilitate live migration of virtual servers, one needs to provide large shared storage systems that are accessible for all the physical servers that are used in the cloud. Distributed storage systems offer reliable and cost-effective storage of large amounts of data and such storage systems will be used in future Cloud Computing. We have evaluated four large distributed storage systems. Two of these use Distributed Hash Tables (DHTs) in order to keep track of how data is distributed, and two systems use multicasting to access the stored data. We measure the read/write/delete performance, as well as the recovery time when a storage node goes down. The evaluations are done on the same hardware, consisting of 24 storage nodes and a total storage capacity of 768 TB of data. These evaluations show that the multicast approach outperforms the DHT approach

Place, publisher, year, edition, pages
International Society for Computers and Their Applications (ISCA) , 2013. Vol. 20, no 4, p. 195-207
Keywords [en]
Cloud computing, Compuverde, Distributed storage system, File system, Gluster, OpenStack (Swift)
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-6736Local ID: oai:bth.se:forskinfoAC72378778A2AB1BC1257CBA0034DD37OAI: oai:DiVA.org:bth-6736DiVA, id: diva2:834269
Available from: 2014-04-14 Created: 2014-04-14 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, LarsErman, David

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