Autonomic Management of Scalable Computing Systems
----IEEE
Technical Committee on Scalable Computing (TCSC)
Technical Area: Autonomic Management of Scalable Computing Systems
(AMSCS) Contact: Dr. Yuanshun Dai
Introduction:
As computer systems become increasingly large and complex, the Autonomy play critical role at supporting the scalable systems. These systems consist of heterogeneous software/hardware/network components of changing capacities, availability, and in varied contexts. They provide computing services to large pools of users and applications, and thus are exposed to a number of dangers such as accidental/deliberate faults, virus infections, malicious attacks, illegal intrusions, and natural disasters etc. As a result, too often computer systems fail, become compromised, or perform poorly.
The scale and complexity of information systems evolve towards overwhelming the capability of system administrators, programmers, and designers. This calls for the autonomic computing paradigm, which meets the requirement of self-management by providing self-optimization, self-healing, self-configuration, and self-protection. As a promising means to implement scalable systems in a self-managing manner, autonomic computing technology needs to be further explored. On the other hand, any autonomic system must be trustworthy to avoid the risk of losing control and retain confidence that the system will not fail. Trusted and autonomic computing and communications need synergistic research efforts covering many disciplines, ranging from computer science and engineering, to the natural sciences to the social sciences. It requires scientific and technological advances in a wide variety of fields, as well as new software, system architectures, and communication systems that support the effective and coherent integration of the constituent technologies.
Contact Details:
Department of Computer & Information Science,
Purdue University School of Science,
Indiana University, Purdue University,
Indianapolis, USA, 46202
E-mail: YDai@cs.iupui.edu
Tel: (317) 274-3473; Fax: (317) 274-9742