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38th ACM SIGPLAN Conference on programming Language Design and Implementation (PLDI)

作者： Canino, Anthony Liu, Yu David SUNY Binghamton Binghamton NY 13902 USA

ISBN: (纸本)9781450349888

Application-level energy management is an important dimension of energy optimization. In this paper, we introduce ENT, a novel programming language for enabling proactive and adaptive mode-based energy management at the application level. The proactive design allows programmers to apply their application knowledge to energy management, by characterizing the energy behavior of different program fragments with modes. The adaptive design allows such characterization to be delayed until run time, useful for capturing dynamic program behavior dependent on program states, configuration settings, external battery levels, or CPU temperatures. The key insight is both proactiveness and adaptiveness can be unified under a type system combined with static typing and dynamic typing. ENT has been implemented as an extension to Java, and successfully ported to three energy-conscious platforms: an Intel-based laptop, a Raspberry Pi, and an Android phone. Evaluation shows ENT improves the programmability, debuggability, and energy efficiency of battery-aware and temperature-aware programs.

关键词： energy Efficiency energy-aware programming Type systems

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Chameleon: Application-level power management

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2008年第8期7卷 995-1010页

作者： Liu, Xiaotao Shenoy, Prashant Corner, Mark D. EMC Corp CTO Off White Plains NY 10601 USA Univ Massachusetts Dept Comp Sci Amherst MA 01003 USA

In this paper, we present Chameleon, which is an application-level power management approach for reducing energy consumption in mobile processors. By using application-domain knowledge, as opposed to OS-level or hardware-level inferred knowledge, Chameleon can substantially reduce CPU energy consumption. By exporting the energy management to the user space, designers can design more flexible and easily portable algorithms and systems and use multiple energy management policies simultaneously. Our experiments show that, compared to the traditional systemwide CPU voltage scaling approaches, Chameleon can achieve up to 32 percent to 50 percent energy savings while delivering comparable or better performance to applications. Similarly, Chameleon extracts 9 percent to 41 percent more energy when compared to Grace OS, which uses some application knowledge but operates within the kernel.

关键词： energy-aware systems mobile computing operating systems application-aware adaptation energy-aware programming

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On energy Security of Server Systems

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IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 2012年第6期9卷 865-876页

作者： Wu, Zhenyu Xie, Mengjun Wang, Haining NEC Labs Amer Inc Princeton NJ 08540 USA Univ Arkansas Dept Comp Sci Little Rock AR 72204 USA Coll William & Mary Dept Comp Sci Williamsburg VA 23187 USA

Power management has become increasingly important for server systems. Numerous techniques have been proposed and developed to optimize server power consumption and achieve energy proportional computing. However, the security perspective of server power management has not yet been studied. In this paper, we investigate energy attacks, a new type of malicious exploits on server systems. Targeted solely at abusing server power consumption, energy attacks exhibit very different attacking behaviors and cause very different victim symptoms from conventional cyberspace attacks. First, we unveil that today's server systems with improved power saving technologies are more vulnerable to energy attacks. Then, we demonstrate a realistic energy attack on a stand-alone server system in three steps: 1) by profiling energy cost of an open web service under different operation conditions, we identify the vulnerabilities that subject a server to energy attacks;2) exploiting the discovered attack vectors, we design an energy attack that can be launched anonymously from remote;and 3) we execute the attack and measure the extent of its damage in a systematic manner. Finally, we highlight the challenges in defending against energy attacks, and we propose an effective defense scheme to meet the challenges and evaluate its effectiveness.

关键词： energy attack server security energy-aware programming

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Toward a Language Design for energy Prediction 19

Toward a Language Design for Energy Prediction

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3rd International Conference on Art, Science, and Engineering of programming (programming)

作者： Canino, Anthony Liu, Yu David SUNY Binghamton Binghamton NY 13902 USA

ISBN: (纸本)9781450362573

energy-aware programming languages and frameworks seek to improve the energy efficiency of computer systems by taking advantage of application-specific information to perform energy optimizations. Effectively predicting an application's energy behavior enables more powerful energy optimizations and additional energy management techniques. However, application energy consumption is fundamentally dynamic in nature, which limits the amount of effective energy prediction that can be done ahead of time. To address this challenge, we propose FJP, a predication-aware semantics that takes the estimation process online, and serves to partially predict a program's energy consumption. The key insight of FJP is that by relaxing the restriction of statically and completely predicting a programs energy consumption, we can dynamically and partially predict energy consumption, desirable for a host of hybrid energy management languages and frameworks. FJP represents a first step toward improving the expressiveness of energy-aware language and framework techniques in its ability for online adaptive energy prediction.

关键词： energy Efficiency energy-aware programming Prediction

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