Recently, distributed computingsystem have been gaining much attention due to a growing demand for various kinds of effective computations in both industry and academia. In this paper, we focus on peer-to-peer (p2p) ...
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Recently, distributed computingsystem have been gaining much attention due to a growing demand for various kinds of effective computations in both industry and academia. In this paper, we focus on peer-to-peer (p2p) computingsystems, also called public-resource computingsystems or global computingsystems. p2p computing systems, contrary to grids, use personal computers and other relatively simple electronic equipment (e. g., the playStation console) to process sophisticated computational projects. A significant example of the p2pcomputing idea is the BOINC (Berkeley Open Infrastructure for Network computing) project. To improve the performance of the computingsystem, we propose to use the p2p approach to distribute results of computational projects, i.e., results are transmitted in the system like in p2p file sharing systems (e.g., BitTorrent). In this work, we concentrate on offline optimization of the p2p computing system including two elements: scheduling of computations and data distribution. The objective is to minimize the system OpEX cost related to data processing and data transmission. We formulate an Integer Linear problem (ILp) to model the system and apply this formulation to obtain optimal results using the CpLEX solver. Next, we propose two heuristic algorithms that provide results very close to an optimum and can be used for larger problem instances than those solvable by CpLEX or other ILp solvers.
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