Help Promote graphics!
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