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The Autonomic Computing Paradigm

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Authors and Affiliations

  1. High Performance Distributed Computing Laboratory, University of Arizona, Arizona

    Salim Hariri, Bithika Khargharia, Houping Chen, Jingmei Yang & Yeliang Zhang

  2. The Applied Software Systems Laboratory, Rutgers, The State University of New Jersey, New Jersey

    Manish Parashar & Hua Liu

Authors
  1. Salim Hariri
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  2. Bithika Khargharia
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  3. Houping Chen
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  4. Jingmei Yang
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  5. Yeliang Zhang
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  6. Manish Parashar
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  7. Hua Liu
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Corresponding author

Correspondence to Salim Hariri.

Additional information

This work is supported in part by grants from NSF/NGS Contract CNS-0305427, NSF/SEI(EAR) Contract 0431079 and Intel Corporation ISTG R&D Council.

Salim Hariri received the MSc degree from Ohio State University in 1982 and the Ph.D. degree in computer engineering from the University of Southern California in 1986. He is a professor in the Electrical and Computer Engineering Department at the University of Arizona and the director of the Center for Advanced TeleSysMatics(CAT)): Next-Generation Network-Centric Systems. He is the editor in chief for Cluster Computing: The Journal of Networks, Software Tools, aand Applications. His current research focuses on high performence distributed computing, agent-based proactive and intelligentt network menagment systems, design and analysis of high speed networks, and developing software design tools for high performnce computing and communication systems and applications. He has coauthored more than 200 journal and conference research papers and co-author/editor of three books on parallel and distributed computing. He is a member of IEEE Computer Society.

Bithika Khargharia is a Ph.D. candidate at the High-Performance Distributed Computing lab at the University of Arizona, Tucson, Arizona. Her research focus area is Autonomic Computing, Grid Computing and Programming Paradigms. Currently, she is at Intel's System Technology Lab, investigating tools and techniques related to self-configuration oriented computing systems to support dynamic provisioning and scale-out virtualization. Her research interests include Grid Computing, Computational Intelligence, AI, Scientific Visualization and Discrete Event Systems (DEVS) Formalism. Bithika graduated with a Master's degree in Computer Engineering in 2003 from University of Arizona, Tucson, Arizona and B.S. degree in Electrical Engineering in 2000 from Assam Engineering College.

Huoping Chen received his B.S. degree from North China University of Technology, China in 1994 and M.S. degree from Beijing Polytechnic University, China in 1997. From 1998 to 2002, he worked at Bell Labs China, Lucent Technology as software architect. He is currently a Ph.D. student at the HPDC Lab, ECE department of the University of Arizona. His research interests are Autonomic Computing and Grid Computing, especially on self-configuration and self-adaptation.

Jingmei Yang received her B.S. and M.S. degrees in engineering from Beijing Institute of Technology, China in 1995 and 1998, respectively. From 1998 to 2001, she worked as a software engineer at Institute of Software, Chinese Academy of Sciences. She is currently a Ph.D. student at Electrical and Computing Engineering department of the University of Arizona. Her research interests focused on high performance distributed computing, grid computing, autonomic computing and autonomic distributed scientific applications. She is a student member of the IEEE.

Yeliang Zhang received his B. S. degree in Shanghai University, Shanghai, P. R. China in 1996, and his M. S. degree from The University of Arizona in 2000, both in computer science. He is now a Ph.D. candidate in Electrical and Computer Engineering Dept. at The University of Arizona. His research interests include performance evaluation, load balancing and optimization, parallel algorithm, distributed system and autonomic computing. He is a student member of the IEEE Computer Society.

Manish Parashar is Professor of Electrical and Computer Engineering at Rutgers University, where he also is director of the Applied Software Systems Laboratory. He received a B.E. degree in Electronics and Telecommunications from Bombay University, India and M.S. and Ph.D. degrees in Computer Engineering from Syracuse University. He has received the Rutgers Board of Trustees Award for Excellence in Research (2004–2005), NSF CAREER Award (1999) and the Enrico Fermi Scholarship from Argonne National Laboratory (1996). His research interests include autonomic computing, parallel & distributed computing (including peer-to-peer and Grid computing), scientific computing, software engineering. He is also a member of the IEEE Computer Society Distinguished Visitor Program (2004–2007).

Hua Liu received her Ph.D. degree in Computer Engineering from Rutgers University in 2005, M.E. and B.S. from Beijing University of Posts & Telecoms in 2001 and 1998. Her research interests include Parallel and Distributed Computing (Autonomic, Grid, P2P Computing), High-performance Computing, Component and Service Oriented Software.

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Hariri, S., Khargharia, B., Chen, H. et al. The Autonomic Computing Paradigm. Cluster Comput 9, 5–17 (2006). https://doi.org/10.1007/s10586-006-4893-0

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