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