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2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW) (2010)
Atlanta, GA, USA
Apr. 19, 2010 to Apr. 23, 2010
ISBN: 978-1-4244-6533-0
pp: 1-4
Andres Quiroz , NSF Center for Autonomic Computing, Department of Electrical&Computer Engineering, Rutgers, The State University of New Jersey, USA
Manish Parashar , NSF Center for Autonomic Computing, Department of Electrical&Computer Engineering, Rutgers, The State University of New Jersey, USA
Ivan Rodero , NSF Center for Autonomic Computing, Department of Electrical&Computer Engineering, Rutgers, The State University of New Jersey, USA
ABSTRACT
Distributed computational infrastructures, as well as the applications and services that they support, are increasingly becoming an integral part of society and affecting every aspect of life. As a result, ensuring their efficient and robust operation is critical. However, the scale and overall complexity of these systems is growing at an alarming rate (current data centers contain tens to hundreds of thousands of computing and storage devices running complex applications), making the management of these systems extremely challenging and rapidly exceeding human capability. Furthermore, these systems require simultaneous management along multiple dimensions, including performance, quality of service, power, and reliability.
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CITATION

I. Rodero, M. Parashar and A. Quiroz, "Autonomic management of distributed systems using online clustering," 2010 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), Atlanta, GA, USA, 2010, pp. 1-4.
doi:10.1109/IPDPSW.2010.5470725
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