DocumentCode
1276498
Title
Self-organizing sensing infrastructure for autonomic management of green datacenters
Author
Viswanathan, Hariharasudhan ; Lee, Eun Kyung ; Pompili, Dario
Author_Institution
Dept. of Electr. & Comput. Eng. (ECE), Rutgers Univ., Piscataway, NJ, USA
Volume
25
Issue
4
fYear
2011
Firstpage
34
Lastpage
40
Abstract
The scale and complexity of modern datacenters are growing at an alarming rate due to the rising popularity of the cloud computing paradigm as an effective means to cater to the ever increasing demand for computing and storage. The management of modern datacenters is rapidly exceeding human ability, making autonomic approaches essential. In this article, methods for acquiring thermal awareness using real-time measurements and heat and air circulation models as well as solutions for proactive autonomic datacenter management that exploit this awareness are discussed. Novel communication and coordination schemes that enable self-organization of a network of external heterogeneous sensors (e.g., thermal cameras, scalar temperature and humidity sensors, airflow meters) into a multitier sensing infrastructure capable of real-time datacenter monitoring are also presented.
Keywords
cloud computing; computer centres; environmental factors; fault tolerant computing; real-time systems; sensors; air circulation model; autonomic management; cloud computing; green datacenter; heat circulation model; heterogeneous sensor; real-time datacenter monitoring; thermal awareness; Autonomic systems; Cloud computing; Data processing; Database systems; Green design; Storage automation; Temperature measurement;
fLanguage
English
Journal_Title
Network, IEEE
Publisher
ieee
ISSN
0890-8044
Type
jour
DOI
10.1109/MNET.2011.5958006
Filename
5958006
Link To Document