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As brown energy costs grow, renewable energy becomes more widely used. Previous work focused on using immediately available green energy to supplement the non-renewable, or brown energy at the cost of canceling and rescheduling jobs whenever the green energy availability is too low [16]. In this paper we design an adaptive data center job scheduler which(More)
Power over-subscription can reduce costs for modern data centers. However, designing the power infrastructure for a lower operating power point than the aggregated peak power of all servers requires dynamic techniques to avoid high peak power costs and, even worse, tripping circuit breakers. This work presents an architecture for distributed per-server UPSs(More)
Peak power shaving allows data center providers to increase their computational capacity without exceeding a given power budget. Recent papers establish that machines may repurpose energy from uninterruptible power supplies (UPSs) to maintain power budgets during peak demand. Our paper demonstrates that existing studies overestimate cost savings by as much(More)
Residential energy constitutes 38% of the total energy consumption in the United States [1]. Although a number of building simulators have been proposed, there are no residential electrical energy simulators capable of modeling complex scenarios and exploring the tradeoffs in home energy management. We propose HomeSim, a residential electrical energy(More)
Many companies deploy multiple data centers across the globe to satisfy the dramatically increased computational demand. Wide area connectivity between such geographically distributed data centers has an important role to ensure both the quality of service, and, as bandwidths increase to 100Gbps and beyond, as an efficient way to dynamically distribute the(More)
Data centers are good candidates for providing regulation services in the power markets due to their large power consumption and flexibility. In this paper, we develop a framework that explores the feasibility of data center participation in these markets. We use a battery-based design that can not only help with providing ancillary services, but can also(More)
Datacenters are large cyber-physical systems with continuous performance and power measurements, and real-time control decisions related to workload placement, cooling and power subsystems etc. In our work we focus on the non-ideal UPS system used to shave peak power demands. Our novel distributed battery control design has no performance impact, reduces(More)
Graphics Processing Units (GPUs) are gaining popularity for parallelization of general purpose applications. GPUs are massively parallel processors with huge performance in a small and readily available package. At the same time, the emergence of general purpose programming environments for GPUs such as CUDA shorten the learning curve of GPU programming. We(More)
Residential energy constitutes a significant portion of the total US energy consumption. Several researchers proposed energy-aware solutions for houses, promising significant energy and cost savings. However , it is important to evaluate the outcomes of these methods on larger scale, with hundreds of houses. This paper presents a human-activity based(More)