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  1. Building the Network Infrastructure for the International Mathematics Olympiad

    Rudi van Drunen, Competa IT;  Karst Koymans,  University of Amsterdam In this paper we describe ...

    arnold - December 16, 2021 - 1:52 pm

  2. Lessons Learned When Building a Greenfield High Performance Computing Ecosystem

    Andrew R. Keen, Dr. William F. Punch, and Greg Mason,  Michigan State University Awarded Best Practice and Experience Report!      Faced with a fragmented research computing environment and growing needs for high performance computing resources, Michigan ...

    arnold - December 16, 2021 - 1:52 pm

  3. Building a Wireless Network for a High Density of Users

    paper is intended to give you an appreciation of what the issues are, and enough information to know ...

    arnold - December 16, 2021 - 2:52 pm

  4. Personalized Diapause: Reducing Radio Energy Consumption of Smartphones by Network-Context Aware Dormancy Predictions

    whether a subsequent transmission will occur in the tail period. In this paper, we propose a novel ...

    michele - December 16, 2021 - 7:52 pm

  5. Supporting Distributed Execution of Smartphone Workloads on Loosely Coupled Heterogeneous Processors

    Felix Xiaozhu Lin, Zhen Wang, and Lin Zhong, Rice University Modern smartphones are embracing asymmetric, loosely coupled processors that have drastically different performance-power tradeoffs. To exploit such architecture for energy proportionality, both ...

    michele - December 16, 2021 - 7:52 pm

  6. Towards Verifying Android Apps for the Absence of No-Sleep Energy Bugs

    Panagiotis Vekris, Ranjit Jhala, Sorin Lerner, and Yuvraj Agarwal, University of California, San Diego The Android OS conserves battery life by aggressively turning off components, such as screen and GPS, while allowing application developers to explicitl ...

    michele - December 16, 2021 - 7:52 pm

  7. Reducing Data Movement Costs Using Energy-Efficient, Active Computation on SSD

    Devesh Tiwari, North Carolina State University;  Sudharshan S. Vazhkudai and Youngjae Kim,  Oak Ridge National Laboratory;  Xiaosong Ma,  North Carolina State University and  Oak Ridge National Laboratory;  Simona Boboila and Peter J. Desnoyers,  Northeas ...

    michele - December 16, 2021 - 7:52 pm

  8. Quantitative Estimation of the Performance Delay with Propagation Effects in Disk Power Savings

    Feng Yan and Xenia Mountrouidou, College of William and Mary;  Alma Riska,  EMC Corporation;   Evgenia Smirni,  College of William and Mary The biggest power consumer in data centers is the storage system. Coupled with the fact that disk drives are lowly ...

    michele - December 16, 2021 - 7:52 pm

  9. The Implications of Shared Data Synchronization Techniques on Multi-Core Energy Efficiency

    power budget of the system. In this paper, we perform a detailed study of the performance as well as ...

    michele - December 16, 2021 - 7:52 pm

  10. Lucky Scheduling for Energy-Efficient Heterogeneous Multi-Core Systems

    Vinicius Petrucci and Orlando Loques, Universidade Federal Fluminense;  Daniel Mossé, University of Pittsburgh Heterogeneous multi-core processors with big/high-performance and small/low-power cores have been proposed as an alternative design to improve e ...

    michele - December 16, 2021 - 7:52 pm

  11. Accurate Characterization of the Variability in Power Consumption in Modern Mobile Processors

    Bharathan Balaji, John McCullough, Rajesh K. Gupta, and Yuvraj Agarwal, University of California, San Diego The variability in performance and power consumption is slated to grow further with continued scaling of process technologies. While this variabili ...

    michele - December 16, 2021 - 7:52 pm

  12. Memory Performance at Reduced CPU Clock Speeds: An Analysis of Current x86_64 Processors

    Robert Schöne, Daniel Hackenberg, and Daniel Molka,  Technische Universität Dresden Reducing CPU frequency and voltage is a well-known approach to reduce the energy consumption of memory-bound applications. This is based on the conception that main memory ...

    michele - December 16, 2021 - 7:52 pm - 1 comment

  13. Power and Performance Analysis of GPU-Accelerated Systems

    high performance. In this paper, we provide a power and performance analysis of GPU-accelerated systems ...

    michele - December 16, 2021 - 7:52 pm

  14. Write Policies for Host-side Flash Caches

    Ricardo Koller, Florida International University and VMware;  Leonardo Marmol and Raju Rangaswami, Florida International University;  Swaminathan Sundararaman and Nisha Talagala,  FusionIO;  Ming Zhao,  Florida International University Host-side flash-base ...

    michele - January 13, 2022 - 2:26 pm

  15. Warming Up Storage-Level Caches with Bonfire

    Yiying Zhang, University of Wisconsin—Madison;  Gokul Soundararajan, Mark W. Storer, Lakshmi N. Bairavasundaram, and Sethuraman Subbiah, NetApp; Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau, University of Wisconsin—Madison Large caches in storage ...

    michele - December 16, 2021 - 8:52 am

  16. Unioning of the Buffer Cache and Journaling Layers with Non-volatile Memory

    Paper!  Journaling techniques are widely used in modern file systems as they provide high reliability and ... journaling accounts for a bulk of the storage writes in real system environments. In this paper, we present ...

    michele - January 13, 2022 - 2:39 pm

  17. Memory Efficient Sanitization of a Deduplicated Storage System

    Fabiano C. Botelho,  Philip Shilane,  Nitin Garg, and  Windsor Hsu,  EMC Backup Recovery Systems Division Sanitization is the process of securely erasing sensitive data from a storage system, effectively restoring the system to a state as if the sensitive ...

    michele - January 13, 2022 - 1:59 pm

  18. SD Codes: Erasure Codes Designed for How Storage Systems Really Fail

    Center This paper has been removed because of a dispute over its contents. Please see this memo from ...

    michele - December 16, 2021 - 8:52 am

  19. HARDFS: Hardening HDFS with Selective and Lightweight Versioning

    Thanh Do, Tyler Harter, and Yingchao Liu, University of Wisconsin—Madison; Haryadi S. Gunawi, University of Chicago; Andrea C. Arpaci-Dusseau and Remzi H. Arpaci-Dusseau, University of Wisconsin—Madison We harden the Hadoop Distributed File System (HDFS) ...

    michele - January 13, 2022 - 2:17 pm

  20. Active Flash: Towards Energy-Efficient, In-Situ Data Analytics on Extreme-Scale Machines

    Devesh Tiwari, North Carolina State University; Simona Boboila, Northeastern University; Sudharshan Vazhkudai and Youngjae Kim, Oak Ridge National Laboratory; Xiaosong Ma, North Carolina State University; Peter Desnoyers,  Northeastern University; Yan Sol ...

    michele - January 19, 2022 - 12:24 pm

  21. MixApart: Decoupled Analytics for Shared Storage Systems

    Madalin Mihailescu, University of Toronto and NetApp; Gokul Soundararajan, NetApp; Cristiana Amza, University of Toronto Distributed file systems built for data analytics and enterprise storage systems have very different functionality requirements. For th ...

    michele - December 16, 2021 - 8:52 am

  22. Horus: Fine-Grained Encryption-Based Security for Large-Scale Storage

    Yan Li, Nakul Sanjay Dhotre, and Yasuhiro Ohara, University of California, Santa Cruz; Thomas M. Kroeger, Sandia National Laboratories; Ethan L. Miller and Darrell D. E. Long, University of California, Santa Cruz With the growing use of large-scale distri ...

    michele - January 19, 2022 - 1:28 pm

  23. Concurrent Deletion in a Distributed Content-Addressable Storage System with Global Deduplication

    paper describes a deletion algorithm for a scalable, content-addressable storage with global ...

    michele - January 19, 2022 - 12:30 pm

  24. File Recipe Compression in Data Deduplication Systems

    Dirk Meister, André Brinkmann, and Tim Süß, Johannes Gutenberg University Mainz Data deduplication systems discover and exploit redundancies between different data blocks. The most common approach divides data into chunks and identifies redundancies via fin ...

    michele - January 19, 2022 - 12:40 pm

  25. Improving Restore Speed for Backup Systems that Use Inline Chunk-Based Deduplication

    Mark Lillibridge and Kave Eshghi, HP Labs;  Deepavali Bhagwat, HP Storage Slow restoration due to chunk fragmentation is a serious problem facing inline chunk-based data deduplication systems: restore speeds for the most recent backup can drop orders of m ...

    michele - December 16, 2021 - 9:52 am

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