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We believe that a market-based resource allocation will be effective in a cloud computing environment where resources are virtualized and delivered to users as services. We propose such a market mechanism to allocate services to participants efficiently. The mechanism enables users (1) to order a combination of services for workflows and co-allocations and (2) to reserve future/current services in...
We focus on efficient algorithms for resource allocation problems in large wireless networks. We first investigate the link scheduling problem and identify the properties that make it possible to compute solutions efficiently. We then show that the node on-off scheduling problem shares these features and is amenable to the same type of solution method. Numerical results confirm the efficiency of our...
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