supported by the EC IST Programme
CoreGRID European Research Network on Foundations, Software Infrastructures and Applications
for large scale distributed, GRID and Peer-to-Peer Technologies
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Home arrow CoreGRID WG arrow Research Topics arrow Self-* and adaptive mech.  

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Self-* and adaptive mechanisms

Topic leaders

Paraskevi Fragopoulou, fragopou@ics.forth.gr
Marios Dikaiakos, mdd@cs.ucy.ac.cy

Short description

Large-scale distributed computing systems and infrastructure, such as Grid and P2P systems, ad hoc wireless, sensor, and vehicular networks, are decentralized, pervasive, and composed of a large number of autonomous entities. The complexity of these systems is such that human administration is nearly impossible and centralized or hierarchical control is highly inefficient. These systems need to run on highly dynamic environments, where content, network topologies and workloads are continuously changing. Moreover, they are characterized by the high degree of volatility of their components and the need to provide efficient service management and to handle efficiently large amounts of data. Thus, the design for adaptation emerges as a key feature. In Grid environments the challenge is to dynamically shape and elastically adapt the infrastructure using virtualization to overcome high management costs and provide efficient utilization of the provided resources. In another novel approach, bio-inspired algorithms as well as evolutionary processes are emerging as powerful techniques for the design and implementation of self-organizing systems.

Keywords

autonomic computing, self-adaptation, data distribution, system volatility, service discovery and composition, bio-inspired evolutionary algorithms, elastic management

Last Updated ( Monday, 16 February 2009 )
 
 
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