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1 12 Load Dispersion Methods in Thin Client Systems

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3 Abstract Load Dispersion Methods in Thin Client Systems Noritaka TAKEUCHI Server Based Computing by Thin Client is thought to be the effective means in case of arise the problem of management like a school because it carry out the intensive management in server. However, it is fear of cause much load for server. So we realize a load dispersion of plural by experiment. As a result, the system must be more superior. The logic of dispersion is select the load of server is lowest. And load balances are uniformity. As a result of twice experiment, we achievemented construction of system. And obtained data of indicator in construction of systems. After this, we are going to examine when servers go down, and another dispersion logic. key words Thin Client, Server Based Computing ii

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31 5.4 client server [0] 2 A:Ek-1,k-1 [1] A,S 1 [3] Ek-1 2 Ek-1 E(A,S k-1) 1 E(A, E k-1 ) k-1+1=k Ek 1 E(A,S k) Ek 2 1 E(A, E k ) Ek 3 2 E(A, E k ) A k E k-1 E k-1 E k 2 2 E k E k-1 [2] [4] 2 A:Ek-1,k E k E k-1 E k-1 2 E(A, E ) Ek 3 k E k-1 E k-1 E k E(A, E k-1 ) OK? 2 Ek Ek E k E k-1 Ek-1 2 Ek-1 T F k-1+1=k A:Ek 2,k authentication failed A:UserID S:Password k-1: 5.1 SAS-K [0] ID A, E 2 k 1 k 1 ID A S [1] α) A S β) A [2] α) A E 2 k 1 k 1 β) 26

32 5.4, γ) k 1 [3] α) A, S, k 1 E 1 k 1 β) A, [3] - α) E 1 k 1 E2 k 1 γ) k 1 +1 δ) A, S, k E 1 k ɛ) A, [3] - δ) E 1 k E2 k ε) A, [3] - ɛ) E 2 k E3 k ζ) E 1 k 1 E 2 k 1 E 3 k, E 2 k E 2 k 1 [4] α) [3] - ζ) E 2 k E 2 k 1, [2] - α) E 2 k 1 E 2 k β) A, [4] - α) E 2 k E3 k γ) [3] - ζ) E 1 k 1 E 2 k 1 E 3 k, [4] - α) E 3 k, [2] - α) E 2 k 1 E1 k 1 δ) A, [4] - γ) E 1 k 1 E2 k 1 ɛ) [4] - δ) E 2 k 1 [2] - α) E2 k 1,, [4]- ε) ε) [2] - α) k 1 +1 ID A Ek 1 2 E2 k, k 1 k ζ) 27

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22 Web Research of a Web search support system based on individual sensitivity 1135117 2011 2 14 Web Web Web Web Web, i Abstract Research of a Web search support system based on individual sensitivity