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The paper analyses the load imbalance problem and the QoS-based fault-tolerant scheduling algorithm in Grid Resource Scheduling, and proposes a new scheduling algorithm based on the priority of a task-based parameters of Qos constrained scheduling strategy. The method is based on using the generalized stochastic Petri nets with inhibitor arc to establish the grid scheduling model and improve the Min-Min...
With the advent of autonomic and cloud computing, computation engines are getting redefined as dynamic configurations of heterogeneous, distributed resources. In this paper, we describe the operational semantics of scheduling and controlling of computation engines configured from component resources subject to dependency and capacity constraints and in accordance with policies and objectives such...
In this paper, we study the problem of optimizing the throughput for micro-factories subject to failures. The challenge consists in mapping several tasks onto a set of machines. The originality of our approach is the failure model for such applications in which tasks are subject to failures rather than machines. If there is exactly one task per machine in the mapping, then we prove that the optimal...
Desktop grids have emerged as an important methodology to harness the idle cycles of millions of participant desktop PCs over the Internet. However, to effectively utilize the resources of a desktop grid, it is necessary to use scheduling policies suitable for such systems. A scheduling policy must be applicable to large-scale systems involving large numbers of machines. Also, the policy must be fault-aware...
An efficient resource discovery mechanism is one of the fundamental requirements for grid computing systems, as it aids in resource management and scheduling of applications. Resource discovery activity involves searching for the appropriate resource types that match the user's application requirements. Various kinds of solutions to grid resource discovery have been suggested, including centralized...
Grid computing has been a hot spot recent year. In grid computing applications, resource management and job scheduling are the most crucial problems in grid computing systems. In this paper, we try to present a novel agent-based dynamic grid resource management model considering both the resource management and job scheduling as a coalition integrity, so as to gain good robust, scalability, efficiency,...
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