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Research paper thumbnail of Predictable high performance data management - leveraging system resource characteristics to efficiently improve performance and predictability

Much of today's IT infrastructure, including high-performance systems, suffers from poorer an... more Much of today's IT infrastructure, including high-performance systems, suffers from poorer and less predictable performance than necessary, due to ineffective resource management. While processor performance is increasing at a rapid rate, increases in storage and memory performance are rather marginal, turning them the into serious bottlenecks, particularly for data-intensive applications. At the same time, memory and most storage subsystems operate in best-effort mode without any performance guarantees We show that better and more predictable performance can be achieved by considering system resource characteristics. Our work on disk scheduling shows how this unpredictable resource with performance differences of up to three orders of magnitude can be effectively managed, and guaranteed. Our analysis of memory performance reveals a somewhat similar behavior to disk I/O with two orders of magnitude performance difference between best and worst case. With search—inarguably one of...

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Research paper thumbnail of Efficient guaranteed disk request scheduling with fahrrad

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Research paper thumbnail of Flushing Policies for NVCache Enabled Hard Disks

IEEE Conference on Mass Storage Systems and Technologies, Sep 24, 2007

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Research paper thumbnail of Power conservation strategies for MEMS-based storage devices

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Research paper thumbnail of Soft real-time application execution with dynamic quality of service assurance

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Research paper thumbnail of Efficient metadata management in large distributed storage systems

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Research paper thumbnail of Dynamic integrated scheduling of hard real-time, soft real-time, and non-real-time processes

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Research paper thumbnail of Rados

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Research paper thumbnail of SupMR: Circumventing Disk and Memory Bandwidth Bottlenecks for Scale-up MapReduce

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Research paper thumbnail of Ceph as a scalable alternative to the hadoop distributed file system

;login:: the magazine of USENIX & SAGE, 2010

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Research paper thumbnail of DP-FAIR: A Simple Model for Understanding Optimal Multiprocessor Scheduling

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Research paper thumbnail of NVCache: Increasing the Effectiveness of Disk Spin-Down Algorithms with Caching

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Research paper thumbnail of Mantle

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Research paper thumbnail of Managing flash crowds on the Internet

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Research paper thumbnail of A Hybrid Disk-Aware Spin-Down Algorithm with I/O Subsystem Support

IEEE International Performance, Computing, and Communications Conference, Apr 1, 2007

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Research paper thumbnail of SNS: A Simple Model for Understanding Optimal Hard Real-Time Multiprocessor Scheduling

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Research paper thumbnail of Abstract storage

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Research paper thumbnail of Adaptive Disk Spin-Down Algorithms in Practice

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Research paper thumbnail of Compressing Intermediate Keys between Mappers and Reducers in SciHadoop

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Research paper thumbnail of A framework for an in-depth comparison of scale-up and scale-out

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Research paper thumbnail of Predictable high performance data management - leveraging system resource characteristics to efficiently improve performance and predictability

Much of today's IT infrastructure, including high-performance systems, suffers from poorer an... more Much of today's IT infrastructure, including high-performance systems, suffers from poorer and less predictable performance than necessary, due to ineffective resource management. While processor performance is increasing at a rapid rate, increases in storage and memory performance are rather marginal, turning them the into serious bottlenecks, particularly for data-intensive applications. At the same time, memory and most storage subsystems operate in best-effort mode without any performance guarantees We show that better and more predictable performance can be achieved by considering system resource characteristics. Our work on disk scheduling shows how this unpredictable resource with performance differences of up to three orders of magnitude can be effectively managed, and guaranteed. Our analysis of memory performance reveals a somewhat similar behavior to disk I/O with two orders of magnitude performance difference between best and worst case. With search—inarguably one of...

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Research paper thumbnail of Efficient guaranteed disk request scheduling with fahrrad

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Flushing Policies for NVCache Enabled Hard Disks

IEEE Conference on Mass Storage Systems and Technologies, Sep 24, 2007

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Power conservation strategies for MEMS-based storage devices

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Soft real-time application execution with dynamic quality of service assurance

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Efficient metadata management in large distributed storage systems

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Dynamic integrated scheduling of hard real-time, soft real-time, and non-real-time processes

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Rados

Bookmarks Related papers MentionsView impact

Research paper thumbnail of SupMR: Circumventing Disk and Memory Bandwidth Bottlenecks for Scale-up MapReduce

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Ceph as a scalable alternative to the hadoop distributed file system

;login:: the magazine of USENIX & SAGE, 2010

Bookmarks Related papers MentionsView impact

Research paper thumbnail of DP-FAIR: A Simple Model for Understanding Optimal Multiprocessor Scheduling

Bookmarks Related papers MentionsView impact

Research paper thumbnail of NVCache: Increasing the Effectiveness of Disk Spin-Down Algorithms with Caching

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Mantle

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Managing flash crowds on the Internet

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A Hybrid Disk-Aware Spin-Down Algorithm with I/O Subsystem Support

IEEE International Performance, Computing, and Communications Conference, Apr 1, 2007

Bookmarks Related papers MentionsView impact

Research paper thumbnail of SNS: A Simple Model for Understanding Optimal Hard Real-Time Multiprocessor Scheduling

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Abstract storage

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Adaptive Disk Spin-Down Algorithms in Practice

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Compressing Intermediate Keys between Mappers and Reducers in SciHadoop

Bookmarks Related papers MentionsView impact

Research paper thumbnail of A framework for an in-depth comparison of scale-up and scale-out

Bookmarks Related papers MentionsView impact

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