Wed 15 Jun 2016 14:00 - 14:30 at Grand Ballroom San Rafael - Energy & Performance Chair(s): Manuel Hermenegildo

Web computing is gradually shifting toward mobile devices, in which the energy budget is severely constrained. As a result, Web developers must be conscious of energy effi- ciency. However, current Web languages provide developers little control over energy consumption. In this paper, we take a first step toward language-level research to enable energy-efficient Web computing. Our key motivation is that mobile systems can wisely budget energy usage if informed with user quality-of-service (QoS) constraints. To do this, programmers need new abstractions. We propose two language abstractions, QoS type and QoS target, to capture two fundamental aspects of user QoS experience. We then present GreenWeb, a set of language extensions that empower developers to easily express the QoS abstractions as program annotations. As a proof of concept, we develop a GreenWeb runtime, which intelligently determines how to deliver specified user QoS expectation while minimizing energy consumption. Overall, GreenWeb shows significant energy savings (29.2% ∼ 66.0%) over Android’s default Interactive governor with few QoS violations. Our work demonstrates a promising first step toward language innovations for energy-efficient Web computing.

Wed 15 Jun
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13:30 - 15:00: Energy & PerformanceResearch Papers at Grand Ballroom San Rafael
Chair(s): Manuel HermenegildoIMDEA Software Institute and T.U. of Madrid (UPM)
13:30 - 14:00
Talk
Research Papers
Changwan Hong, Wenlei Bao, Albert CohenINRIA, Sriram KrishnamoorthyPacific Northwest National Laboratories, Louis-Noël PouchetOhio State University, J. RamanujamLouisiana State University, Fabrice RastelloINRIA, France, P. SadayappanOhio State University
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14:00 - 14:30
Talk
Research Papers
Link to publication Media Attached
14:30 - 15:00
Talk
Research Papers
Michael A. LaurenzanoUniversity of Michigan, Parker Hill, Mehrzad SamadiUniversity of Michigan, Scott MahlkeUniversity of Michigan, Jason MarsUniversity of Michigan, Lingjia TangUniversity of Michigan
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