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• W2181343448 abstract "Experience in parallel computing is an increasingly necessary skill for todays upcoming computer scientists as processors are hitting a serial execution performance barrier and turning to parallel execution for continued gains. The uniprocessor system has now reached its maximum speed limit and, there is very less scope to improve the speed of such type of system. To solve this problem multiprocessor system is used, which have more than one processor. Multiprocessor system improves the speed of the system but it again faces some problems like data dependency, control dependency, resource dependency and improper load balancing. So this paper presents a detailed analysis of various decentralized load balancing techniques with node duplication to reduce the proper execution time." @default.
• W2181343448 created "2016-06-24" @default.
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• W2181343448 date "2014-01-01" @default.
• W2181343448 modified "2023-09-27" @default.
• W2181343448 title "Analysis of Various Decentralized Load Balancing Techniques with Node Duplication" @default.
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• W2181343448 hasPublicationYear "2014" @default.
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