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首页> 外文会议>Services conference federation;International conference on edge computing >Energy-Aware Capacity Provisioning and Resource Allocation in Edge Computing Systems
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Energy-Aware Capacity Provisioning and Resource Allocation in Edge Computing Systems

机译：边缘计算系统中的能源感知能力配置和资源分配

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Energy consumption plays a key role in determining the cost of services in edge computing systems and has a significant environmental impact. Therefore, minimizing the energy consumption in such systems is of critical importance. In this paper, we address the problem of energy-aware optimization of capacity provisioning and resource allocation in edge computing systems. The main goal is to provision and allocate resources such that the net profit of the service provider is maximized, where the profit is the difference between the aggregated users' payments and the total operating cost due to energy consumption. We formulate the problem as a mixed integer linear program and prove that the problem is NP-hard. We develop a heuristic algorithm to solve the problem efficiently. We evaluate the performance of the proposed algorithm by conducting an extensive experimental analysis on problem instances of various sizes. The results show that the proposed algorithm has a very low execution time and is scalable with respect to the number of users in the system.
机译：能耗在确定边缘计算系统中的服务成本方面起着关键作用，并且对环境产生重大影响。因此，最小化此类系统中的能耗至关重要。在本文中，我们解决了边缘计算系统中能量配置和资源分配的能量感知优化问题。主要目标是提供和分配资源，以使服务提供商的净利润最大化，其中利润是用户总计付款与能源消耗导致的总运营成本之差。我们将该问题公式化为混合整数线性程序，并证明该问题是NP难的。我们开发了一种启发式算法来有效解决问题。我们通过对各种大小的问题实例进行广泛的实验分析来评估所提出算法的性能。结果表明，所提出的算法执行时间极短，并且相对于系统中的用户数量是可扩展的。

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