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Modern heterogeneous multiprocessor embedded platforms is important for the high volume markets that have strict performance. However, it presents many challenges that need to be addressed in order to be efficiently utilized for multitask applications. Since mapping and scheduling problems for multi processors belong to the classic of NP-Complete problems, common methods used to solve this kind of...
In this study, the permutation flowshop scheduling problem with the total flowtime criterion is considered. An asynchronous genetic local search algorithm (AGA) is proposed to deal with this problem. The AGA consists of three phases. In the first phase, an individual in the initial population is yielded by an effective constructive heuristic and the others are randomly generated, while in the second...
Distributed Web crawling (DWC) over DHTs is proposed to solve the bottlenecks in the traditional Web crawling. The core of this kind of system is its fully distributed task scheduling mechanism in which the crawlers are treated as peers and the crawlees are treated as resources maintained by the peers. A system model based on the content addressable network (CAN) can further optimize the scheduling...
In order to solve task scheduling and load balancing problems of distributed search engines, a GNP-based scheduling strategy for distributed crawling and a load balancing method are proposed in this paper. Internet distance estimating mechanism is adopted as a replacement for large-scale network distance measurement, which not only improves response speed of the system, but also reduces loads on WAN...
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