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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Takako Endo, P. Batista, M.S. Goncalves, G.E. Rodrigues, M. Sadok, D. Kelner, J. Sefidcon, A. Wuhib, F. |
| Copyright Year | 2013 |
| Description | Author affiliation: Networking & Telecommun. Res. Group (GPRT), Fed. Univ. of Pernambuco (UFPE), Recife, Brazil (Takako Endo, P.; Batista, M.S.; Goncalves, G.E.; Rodrigues, M.; Sadok, D.; Kelner, J.) || Ericsson Res., Stockholm, Sweden (Sefidcon, A.; Wuhib, F.) |
| Abstract | Due to the growth of Cloud Computing, the supporting infrastructure has become more complex, and the centralized solutions suffer resource management difficulties due to the large scale and the dynamicity of the scenario. Consequently, distributed solutions have been proposed in the literature and the self-organizing ones have attracted particular interest due to their robustness and adaptability characteristics. Techniques, such as bio-inspired computing, multi-agent systems, and evolutionary techniques are used to manage resources. The main goal of this paper is to present a start study about how self-organizing solutions are applied in resource management of Cloud providers, as well as to highlight the main research challenges in this area. |
| Sponsorship | IEEE Commun. Soc. |
| Starting Page | 13 |
| Ending Page | 18 |
| File Size | 356943 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479935505 |
| DOI | 10.1109/LatinCloud.2013.6842215 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-09 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cloud computing Protocols Self-organizing strategies Virtual machining Biochemistry Resource management Servers Biomedical monitoring Monitoring Open research issues |
| Content Type | Text |
| Resource Type | Article |
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