Final Report
BUD: A Buffer-Disk Architecture for Energy Conservation in Parallel Disk Systems
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Findings
An Energy-Efficient Framework for Large-Scale Parallel Storage Systems
A Simulation Framework for Energy-efficient Data Grids
An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling
for Parallel Applications on Clusters
Load-Balancing Strategies for Energy-Efficient Parallel Storage Systems with Buffer Disks
Sacrificing Reliability for Energy Saving: Is It Worthwhile for Disk Arrays
Load-Balancing Strategies for Energy-Efficient Parallel Storage Systems with Buffer Disks
Energy-Efficient Prefetching for Parallel I/O Systems with Buffer Disks
Improving Reliability and Energy Efficiency of Disk Systems via Utilization Control
Energy Conservation for Real-Time Disk Systems with I/O Burstiness
An Adaptive Energy-Conserving Strategy for Parallel Disk Systems
DARAW: A New Write Buffer to Improve Parallel I/O Energy-Efficiency
MICRO: A Multi-level Caching-based Reconstruction Optimization for Mobile Storage Systems
PEARL: Performance, Energy, and Reliability Balanced Dynamic Data Redistribution for Next Generation Disk Arrays
HyBUD: An Energy-Efficient Architecture for Hybrid Parallel Disk Systems
Energy-Aware Prefetching for Parallel Disk Systems
DORA: A Dynamic File Assignment Strategy with Replication
Collaboration-Oriented Data Recovery for Mobile Disk Arrays
A File Assignment Strategy Independent of Workload Characteristic Assumptions
References
References
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[Ruan et al. 2009b] X.-J. Ruan, A. Manzanares, S. Yin, Z. -L. Zong, and X. Qin, “Performance Evaluation of Energy-Efficient Parallel I/O Systems with Write Buffer Disks,” Proc. the 38th Int'l Conf. on Parallel Processing (ICPP), Vienna, Austria, Sept. 2009. (Acceptance Rate: 32.3%, 71/220) (40%, 8 pages)
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[Manzanares et al. 2009] BUD’09 A. Manzanares, X.-J. Ruan, S. Yin, M. Nijim, X. Qin, and W. Luo, “Energy-Aware Prefetching for Parallel Disk Systems: Algorithms, Models, and Evaluation,” Proc. the 8th IEEE International Symposium on Network Computing and Applications (NCA), July 2009. (50%, 8 pages)
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[Liu, et al. 2010] Z. Liu*, F. Wu, X. Qin, C.-S. Xie, J. Zhou*, and J.-Z. Wang*, “TRACER: A Trace-Replay Based Load-controllable Scheme for Evaluating Energy-efficiency of Mass Storage Systems,” Proc. IEEE International Conference on Cluster Computing (CLUSTER), Heraklion, Crete, Greece, Sept. 20-24, 2010. (40%, 10 pages)
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[Xie, et al. 2010] J. Xie*, S. Yin*, X.-J. Ruan*, Z.-Y. Ding*, Y. Tian*, J. Majors*, A. Manzanares*, and X. Qin, “Improving MapReduce Performance via Data Placement in Heterogeneous Hadoop Clusters,” Proc. 19th International Heterogeneity in Computing Workshop, Atlanta, Georgia, April 2010. (40%, 8 pages)
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