Abstract
One of the c hallenges in large scale distributed computing is to utilize the thousands of idle personal computers. In this paper, we presen t a system that enables users to effortlessly and safely export their machines in a global market of processing capacity. Efficient resource allocation is performed based on statistical machine profiles and leases are used to promote dynamic task placement. The basic programming primitives of the system can be extended to develop class hierarchies which support different distributed computing paradigms. Due to the objectorien ted structuring of code, developing a distributed computation can be as simple as implementing a few methods.
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Lalis, S., Karipidis, A. (2000). An Open Market-Based Architecture for Distributed Computing. In: Rolim, J. (eds) Parallel and Distributed Processing. IPDPS 2000. Lecture Notes in Computer Science, vol 1800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45591-4_7
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DOI: https://doi.org/10.1007/3-540-45591-4_7
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