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- W1520369706 abstract "We consider the problem of allocating combinations of heterogeneous, distributed resources among selfinterested parties. In particular, we consider this problem in the context of distributed computing infrastructures, where resources are shared among users from different administrative domains. Examples of such infrastructures include PlanetLab [15] and computational grids [7]. End-users derive utility from receiving a share of resources. When there is an excess demand for resources, it isn’t possible to completely satisfy all resource requests. Therefore, we argue that it is important for these infrastructures to allocate resources in a way that maximizes aggregate end-user utility. Such an allocation system is known as economically efficient. Because a user’s utility function for resources isn’t typically known a priori, determining an allocation policy to maximize utility is difficult in the presence of excess demand. As use of these infrastructures becomes more widespread, contention for resources will increase, and allocating resources in an economically efficient manner becomes more difficult. Figure 1 shows a snapshot of resource demand in PlanetLab. Due to the way resources are distributed in PlanetLab, the rise in contention decreases the portion of resources received by any individual user, thereby reducing the amount of useful work that can be completed in the system. We argue that given the appropriate mechanisms, end-users can cooperate to arrive at an optimal resource allocation in spite of excess demand. More specifically, by allowing users to express preferences for when and what resources are received, the system will be able to spread out some excess demand over time, and increase the efficiency of the system. To this end, we present the design and early implementation of Bellagio, a distributed resource discov-" @default.
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- W1520369706 title "Resource Allocation in Federated Distributed Computing Infrastructures" @default.
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