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Content Provider | IEEE Xplore Digital Library |
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Author | Fadel, A.S. Fayoumi, A.G. |
Copyright Year | 2013 |
Description | Author affiliation: Dept. of Comput. Sci., King Abdulaziz Univ., Jeddah, Saudi Arabia (Fadel, A.S.) || Dept. of Inf. Syst., King Abdulaziz Univ., Jeddah, Saudi Arabia (Fayoumi, A.G.) |
Abstract | Cloud computing recently emerged as a new paradigm that aims to deploy services via Internet. Under hybrid cloud environment, cloud bursting is a technique that combines local (organizations or in-house) resources with public cloud resources, these resources are leased based on a pay-per-use basis. It used to process the overload work within local resource or to accelerate the execution time of distributed applications with respect of the required level of QoS, also to achieve the efficient use of private resources. When Cloud bursting is applied, the important issues are determining how many and which type of resources will be provisioned. Also, the important issues that should be considered before cloud bursting decision are which workload will be burst to public cloud and when these resources will be released. These issues attract the attention of researchers to tackle them. In this paper we intend to review the recent researches that concern on cloud bursting and resource provisioning. We will explore how each study address the problem, what are the proposed solutions and what are the differences between them, the main researches are compared interms of several criteria such as type of application, which was targeted by the research, environment that used to implement the experiment, results, and limitations. |
Sponsorship | IEEE Comput. Soc. |
Starting Page | 59 |
Ending Page | 64 |
File Size | 283333 |
Page Count | 6 |
File Format | |
ISBN | 9780769550053 |
DOI | 10.1109/SNPD.2013.2 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-07-01 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Cloud computing hybrid cloud resource provsioning Organizations Quality of service cloud bursting Data transfer Acceleration Time factors Resource management cloud computing |
Content Type | Text |
Resource Type | Article |
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