• When & Where: Seminars are generally (please, check the timeline and location before coming!) held on:
    • Wednesday afternoon at LINCS (14h-15h, Salle de Conseil) and
    • Thursday afternoon at Barrault (14h-15h, Amphi Saphir).
  • Contact us: if you wish to give a talk, please contact

[Next talks] [All talks]

10/09/2014Cheng Wang (Pennsylvania State University)Energy management of demand in the cloud
17/09/2014Emilio Leonardi (Politecnico di Torino)A unified approach to the performanceanalysis of caching systems

Date:10/09/2014, 14h
Room:LINCS, Salle du Conseil
Speaker:Cheng Wang (Pennsylvania State University)
Talk:Energy management of demand in the cloud
Abstract:We formulate optimization problems to study how data centers might modulate their power demands for cost-effective operation taking into account various complexities exhibited by real-world electricity pricing schemes. For computational tractability reasons, we work with a fluid model for power demands which we imagine can be modulated using two abstract knobs of demand dropping and demand delaying (each with its associated penalties or costs). We consider both stochastically known and completely unknown inputs, which are likely to capture different data center scenarios. Using empirical evaluation with both real-world and synthetic power demands and real-world prices, we demonstrate the efficacy of our techniques. Work in collaboration with B. Urgaonkar, G. Kesidis, U. Shanbhag, Q. Wang, A. Sivasbramaniam
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Date:17/09/2014, 14h
Room:LINCS, Salle du Conseil
Speaker:Emilio Leonardi (Politecnico di Torino)
Talk:A unified approach to the performanceanalysis of caching systems
Abstract:We propose a unified methodology to analyse theperformance of caches (both isolated and interconnected), byextending and generalizing a decoupling technique originally knownas Che's approximation, which provides very accurate results at lowcomputational cost.We consider several caching policies, taking intoaccount the effects of temporal locality. In the case of interconnectedcaches, our approach allows us to do better than the Poissonapproximation commonly adopted in prior work. Our results,validated against simulations and trace-driven experiments, provideinteresting insights into the performance of caching systems. Joint work with Valentina Martina and Michele Garetto, appeared at IEEE INFOCOM'14
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