X. Bai, G. Wang, Y. Ji, G.M.Marinescu, D.C. Marinescu, and L. Bölöni. Coordination in Intelligent Grid Environments. Proceedings of the IEEE, 93(3):613–630, 2005.
A computational grid is a complex system. The state space of a complex system is very large and it is infeasible to create a rigid infrastructure implementing optimal policies and strategies which take into account the current state of the system. An alternative to a rigid infrastructure is to base the system�s reactions on logical inference, planning, and learning, the quintessential elements of an intelligent system. An intelligent grid is one where societal services exhibit intelligent behavior. A coordination service acting as a proxy on behalf of end users reacts to unforeseen events, plans how to carry out complex tasks, and learns from the history of the system. Various policies implemented by the societal services of an intelligent grid, such as brokerage and matchmaking, are based upon rules and facts gathered with the aid of a monitoring service. The question we address is how to construct intelligent computational grids which are truly scalable and could respond to the needs of a diverse user community.We present a prototype of a system used for a virtual laboratory in computational biology.
@article{Bai-2005-Coordination,
author = "X. Bai and G. Wang and Y. Ji and G.M.
Marinescu and D.C. Marinescu and L. B{\"o}l{\"o}ni",
title = "Coordination in Intelligent Grid Environments",
journal = "Proceedings of the IEEE",
volume = "93",
number = "3",
pages = "613--630",
year = "2005",
abstract = {
A computational grid is a complex system. The state space of a complex
system is very large and it is infeasible to create a rigid
infrastructure implementing optimal policies and strategies which take
into account the current state of the system. An alternative to a rigid
infrastructure is to base the system�s reactions on logical inference,
planning, and learning, the quintessential elements of an intelligent
system. An intelligent grid is one where societal services exhibit
intelligent behavior. A coordination service acting as a proxy on behalf
of end users reacts to unforeseen events, plans how to carry out complex
tasks, and learns from the history of the system. Various policies
implemented by the societal services of an intelligent grid, such as
brokerage and matchmaking, are based upon rules and facts gathered with
the aid of a monitoring service. The question we address is how to
construct intelligent computational grids which are truly scalable and
could respond to the needs of a diverse user community.We present a
prototype of a system used for a virtual laboratory in computational
biology.
}
}
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