• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.109-115
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• 2008

In the P2P distributed system, such peers don't always keep on-line status. P2P systems are different from the ordinary systems that such peers are organically operated as the elements of system. In this case, users using P2P system are able to loss the reliability. At this point, many P2P studies are tried to resolve these problems. In this paper, we suggest a P2P search algorithm for multidirectional processing about the resources to be downloading. In existing studies, the loading rate is very high to select new resources supported peer, so we suggest new solution in this study.

• Journal of applied mathematics & informatics
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• v.23 no.1_2
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• pp.269-279
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• 2007

This paper describes a direct search method for a class of linearly constrained optimization problem. Through research we find it can be treated as an unconstrained optimization problem. And with the decrease of dimension of the variables need to be computed in the algorithms, the implementation of convergence to KKT points will be simplified to some extent. Convergence is shown under mild conditions which allow successive frames to be rotated, translated, and scaled relative to one another.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.133-139
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• 2009

A P2P technology in distributed computing fields is presented various methods to share resources between network connected peers. This is very efficient that a degree of resources to good use as compared with peers by using centralized network by a few servers. However peers to compose P2P system is not always online status, therefore it is difficult to support high reliability to user. In our previous work of this paper, it is contributing to reduce the loading rates to select of new resource support peer but a selection method the peers to share works to download resources is very simple that it is just selected about peer to have lowest job. In this paper, we reduced frequency offline peers by estimate based on a average value of success rates for peers.