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Consensus exists in much of industry and academia that engaging end-users is an essential element for improving energy efficiency in office buildings.We present our experiences implementing and deploying POEM (Personal Office Energy Monitor) with real office users. POEM is an end-user eco-feedback application. It provides detailed personalized data on energy usage and ambient conditions to each office user, as well as reporting aggregates for building-level management and policy setting. The POEM UI also allows users to state their subjective feeling of comfort. The system aggregates those inputs and informs the building manager to take corrective action if neededthus closing the control loop between the people and the building. We report our findings from pilot tests of POEM prototype.

This article discusses an architecture for interactive service delivery to the home via the digital television (DTV) infrastructure in systems with and without return channels. This approach relies on a broadcast computing model adapted to suit the DTV environment. The model works even with low-cost user terminals, such as the basic DTV set-top boxes with limited computational and graphics capability and no local disk storage. 34

Power efficiency is a major concern in operating cloud data centers. It affects operational costs and return on investment, with a profound impact on the environment. Current data center operating environments, such as management consoles and cloud control software, tend to optimize for performance and service level agreements and ignore power implications when evaluating workload scheduling choices. We believe that power should be elevated to the firstorder consideration in data-center management and that operators should be provided with insights and controls necessary to achieve that purpose.In this paper we describe several foundational techniques for group-level power management that result in significant power savings in large data centers with run-time load allocation capability, such as clouds and virtualized data centers. We cover VM migration to save power, server pooling or platooning to balance power savings with startup times so as not to impair performance, and discuss power characteristics of servers that affect both the limits and the opportunities for power savings.

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