Taming Workload Bursts in Data Centers Lu L, Varman P. 2009. Taming Workload Bursts in Data Centers . Read more about Taming Workload Bursts in Data Centers DBLPLog in to post commentsGoogle ScholarBibTeX
Supporting {Data-Intensive} Applications on {Accelerator-Based} Distributed Systems M. Rafique M, Butt AR, Nikolopoulos DS. 2009. Supporting {Data-Intensive} Applications on {Accelerator-Based} Distributed Systems . Read more about Supporting {Data-Intensive} Applications on {Accelerator-Based} Distributed Systems DBLPLog in to post commentsGoogle ScholarBibTeX
Exploiting the Overlap Between Temporal Redundancy and Spatial Redundancy in Storage System Shang P. 2009. Exploiting the Overlap Between Temporal Redundancy and Spatial Redundancy in Storage System. Read more about Exploiting the Overlap Between Temporal Redundancy and Spatial Redundancy in Storage SystemDBLPLog in to post commentsGoogle ScholarBibTeX
Using Realistic Simulation to Identify {I/O} Bottlenecks in {MapReduce} Setups Wang G, Pandey P, Gupta K. 2009. Using Realistic Simulation to Identify {I/O} Bottlenecks in {MapReduce} Setups. Read more about Using Realistic Simulation to Identify {I/O} Bottlenecks in {MapReduce} SetupsDBLPLog in to post commentsGoogle ScholarBibTeX
Progress on {FileBench} Wilson A. 2009. Progress on {FileBench}. Read more about Progress on {FileBench}DBLPLog in to post commentsGoogle ScholarBibTeX
When "More and More" Does Not Help: Sensible Partitioning of Cache Bin Sohail H. 2009. When "More and More" Does Not Help: Sensible Partitioning of Cache. Read more about When "More and More" Does Not Help: Sensible Partitioning of CacheDBLPLog in to post commentsGoogle ScholarBibTeX
Solving {TCP} Incast in Cluster Storage Systems Vasudevan V, Shah H, Phanishayee A, Krevat E, Andersen D, Ganger G, Gibson G. 2009. Solving {TCP} Incast in Cluster Storage Systems. Read more about Solving {TCP} Incast in Cluster Storage SystemsDBLPLog in to post commentsGoogle ScholarBibTeX
Improving {I/O} Performance by Co-scheduling of {I/O} and Computation on {Commodity-Based} Clusters Sehrish S, Mackey G, Wang J. 2009. Improving {I/O} Performance by Co-scheduling of {I/O} and Computation on {Commodity-Based} Clusters. Read more about Improving {I/O} Performance by Co-scheduling of {I/O} and Computation on {Commodity-Based} ClustersDBLPLog in to post commentsGoogle ScholarBibTeX
Predictable and Guaranteeable Performance with Throughput, Latency, and Firmness Controls in {Buffer-Cache} Pineiro R, Brandt S. 2009. Predictable and Guaranteeable Performance with Throughput, Latency, and Firmness Controls in {Buffer-Cache}. Read more about Predictable and Guaranteeable Performance with Throughput, Latency, and Firmness Controls in {Buffer-Cache}DBLPLog in to post commentsGoogle ScholarBibTeX
Towards Automated Detection of {Peer-to-Peer} Botnets: On the Limits of Local Approaches Jelasity M, Bilicki V. 2009. Towards Automated Detection of {Peer-to-Peer} Botnets: On the Limits of Local Approaches. 2nd USENIX Workshop on Large-Scale Exploits and Emergent Threats (LEET 09). Read more about Towards Automated Detection of {Peer-to-Peer} Botnets: On the Limits of Local ApproachesDBLPLog in to post commentsGoogle ScholarBibTeX