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Poster Session

Accepted Posters

The following posters will be presented at the Poster Session and Happy Hour on Thursday, July 10, 2015, 6:30 p.m.–8:00 p.m.

Tarcil: Reconciling Scheduling Speed and Quality in Large Shared Clusters
Christina Delimitrou, Stanford University; Daniel Sanchez, Massachusetts Institute of Technology; Christos Kozyrakis, Stanford University

AnalyzeThis: An Analysis Workflow-Aware Storage System
Hyogi Sim, Virginia Tech; Youngjae Kim, Sudharshan S. Vazhkudai, and Devesh Tiwari, Oak Ridge National Laboratory; Ali Anwar and Ali R. Butt, Virginia Tech; Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory

Oasis: Energy Proportionality with Partial Server Consolidation
Junji Zhi, University of Toronto; Nilton Bila, IBM T. J. Watson Research Center; Eyal de Lara, University of Toronto

DSwitch: A Dual Mode Direct and Network Attached Disk
Quanlu Zhang and Yafei Dai, Peking University; Lintao Zhang, Microsoft Research Asia

ConcurDB: Concurrent Query Authentication for Outsourced Databases
Sumeet Bajaj and Radu Sion, Stony Brook University

Smart on Demand: Making Smartphones More Energy-Proportional with eCover
Marco Brocanelli and Xiaorui Wang, The Ohio State University

Relieving Both Storage and Recovery Burdens in Big Data Clusters with R-STAIR Codes
Mingqiang Li, Runhui Li, and Patrick P. C. Lee, The Chinese University of Hong Kong

Billing System CPU Time on Individual VM
Boris Teabe, Alain Tchana, and Daniel Hagimont, University of Toulouse

Intelligent NIC Queue Management in the Dragonet Network Stack
Kornilios Kourtis and Pravin Shinde, ETH Zürich; Antoine Kaufmann, University of Washington;
Timothy Roscoe, ETH Zürich

Scalability and Load in Online Games
James Gwertzman, PlayFab, Inc.

Faster Booting in Consumer Electronics
Geunsik Lim and MyungJoo Ham, Samsung Electronics

A New Paradigm for Power Management
MyungJoo Ham, Geunsik Lim, and Dongyun Jin, Samsung Electronics

In a world of ephemeral containers, how do we keep track of things?
Brian Dorsey, Google

The Pain Curve - The Complexity of Clusters
Greg Bruno, StackIQ, Inc.

Experiences with Scaling Blockchain-based Data Stores
Muneeb Ali, Onename

Erasure Code Foundations
W. David Schwaderer

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