DocumentCode :
691379
Title :
Self-organizing strategies for resource management in Cloud Computing: State-of-the-art and challenges
Author :
Takako Endo, Patricia ; Batista, Marcelo Santos ; Goncalves, Glauco Estacio ; Rodrigues, M. ; Sadok, Djamel ; Kelner, Judith ; Sefidcon, Azimeh ; Wuhib, Fetahi
Author_Institution :
Networking & Telecommun. Res. Group (GPRT), Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
fYear :
2013
fDate :
9-10 Dec. 2013
Firstpage :
13
Lastpage :
18
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.
Keywords :
cloud computing; resource allocation; self-organising feature maps; bio-inspired computing; cloud computing; cloud providers; distributed solutions; evolutionary techniques; multiagent systems; resource management; self-organizing solutions; self-organizing strategies; Biochemistry; Biomedical monitoring; Monitoring; Protocols; Resource management; Servers; Virtual machining; cloud computing; open research issues; resource management; self-organizing strategies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing and Communications (LatinCloud), 2nd IEEE Latin American Conference on
Conference_Location :
Maceio
Type :
conf
DOI :
10.1109/LatinCloud.2013.6842215
Filename :
6842215
Link To Document :
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