The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Claudia Salzberg - One of the best experts on this subject based on the ideXlab platform.

  • CLUSTER - Out of User Space Storage and RDMA
    2006 IEEE International Conference on Cluster Computing, 2006
    Co-Authors: Michael Ko, Renato Recio, Claudia Salzberg
    Abstract:

    User Space applications must invoke kernels calls in order to have the operating system handle file system and device driver processing for Storage requests. There is a high overhead associated with such calls, including the processing of suspending, scheduling and dispatching threads, interrupts, cache misses, etc. The overhead contributes to wasted processor cycles because all work on the thread being switched is stopped until the task switch is complete. The problem is worse for applications with a high Storage I/O to compute ratio. Alternatives to enable user Space applications to pass Storage requests directly to I/O adapters without run-time involvement from the operating system would eliminate this overhead

  • Out of User Space Storage and RDMA
    2006 IEEE International Conference on Cluster Computing, 2006
    Co-Authors: Michael Ko, Renato Recio, Claudia Salzberg
    Abstract:

    User Space applications must invoke kernels calls in order to have the operating system handle file system and device driver processing for Storage requests. There is a high overhead associated with such calls, including the processing of suspending, scheduling and dispatching threads, interrupts, cache misses, etc. The overhead contributes to wasted processor cycles because all work on the thread being switched is stopped until the task switch is complete. The problem is worse for applications with a high Storage I/O to compute ratio. Alternatives to enable user Space applications to pass Storage requests directly to I/O adapters without run-time involvement from the operating system would eliminate this overhead

C.v. Ravishankar - One of the best experts on this subject based on the ideXlab platform.

  • Relational database compression using augmented vector quantization
    Proceedings of the Eleventh International Conference on Data Engineering, 1995
    Co-Authors: W.k. Ng, C.v. Ravishankar
    Abstract:

    Data compression is one way to alleviate the I/O bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the lack of suitable database compression techniques. In this paper, we design and implement a novel database compression technique based on vector quantization (VQ). VQ is a data compression technique with wide applicability in speech and image coding, but it is not directly suitable for databases because it is lossy. We show how one may use a lossless version of vector quantization to reduce database Space Storage requirements and improve disk I/O bandwidth.

  • ICDE - Relational database compression using augmented vector quantization
    Proceedings of the Eleventh International Conference on Data Engineering, 1995
    Co-Authors: W.k. Ng, C.v. Ravishankar
    Abstract:

    Data compression is one way to alleviate the I/O bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the lack of suitable database compression techniques. In this paper, we design and implement a novel database compression technique based on vector quantization (VQ). VQ is a data compression technique with wide applicability in speech and image coding, but it is not directly suitable for databases because it is lossy. We show how one may use a lossless version of vector quantization to reduce database Space Storage requirements and improve disk I/O bandwidth. >

Michael Ko - One of the best experts on this subject based on the ideXlab platform.

  • CLUSTER - Out of User Space Storage and RDMA
    2006 IEEE International Conference on Cluster Computing, 2006
    Co-Authors: Michael Ko, Renato Recio, Claudia Salzberg
    Abstract:

    User Space applications must invoke kernels calls in order to have the operating system handle file system and device driver processing for Storage requests. There is a high overhead associated with such calls, including the processing of suspending, scheduling and dispatching threads, interrupts, cache misses, etc. The overhead contributes to wasted processor cycles because all work on the thread being switched is stopped until the task switch is complete. The problem is worse for applications with a high Storage I/O to compute ratio. Alternatives to enable user Space applications to pass Storage requests directly to I/O adapters without run-time involvement from the operating system would eliminate this overhead

  • Out of User Space Storage and RDMA
    2006 IEEE International Conference on Cluster Computing, 2006
    Co-Authors: Michael Ko, Renato Recio, Claudia Salzberg
    Abstract:

    User Space applications must invoke kernels calls in order to have the operating system handle file system and device driver processing for Storage requests. There is a high overhead associated with such calls, including the processing of suspending, scheduling and dispatching threads, interrupts, cache misses, etc. The overhead contributes to wasted processor cycles because all work on the thread being switched is stopped until the task switch is complete. The problem is worse for applications with a high Storage I/O to compute ratio. Alternatives to enable user Space applications to pass Storage requests directly to I/O adapters without run-time involvement from the operating system would eliminate this overhead

W.k. Ng - One of the best experts on this subject based on the ideXlab platform.

  • Relational Database Compression Using Augmented
    1995
    Co-Authors: W.k. Ng
    Abstract:

    Data compression is one way to alleviate the I/O bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the lack of suitable database compression techniques. In this paper, we design and implement a novel database compression technique based on vector quantization (VQ). VQ is a data compression technique with wide applicability in speech and image coding [.9, 51, but it is not directly suitable for databases because it is lossy. We show how one may use a lossless version of vector quantization to reduce database Space Storage requirements and improve disk I/O bandwidth.

  • Relational database compression using augmented vector quantization
    Proceedings of the Eleventh International Conference on Data Engineering, 1995
    Co-Authors: W.k. Ng, C.v. Ravishankar
    Abstract:

    Data compression is one way to alleviate the I/O bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the lack of suitable database compression techniques. In this paper, we design and implement a novel database compression technique based on vector quantization (VQ). VQ is a data compression technique with wide applicability in speech and image coding, but it is not directly suitable for databases because it is lossy. We show how one may use a lossless version of vector quantization to reduce database Space Storage requirements and improve disk I/O bandwidth.

  • ICDE - Relational database compression using augmented vector quantization
    Proceedings of the Eleventh International Conference on Data Engineering, 1995
    Co-Authors: W.k. Ng, C.v. Ravishankar
    Abstract:

    Data compression is one way to alleviate the I/O bottleneck problem faced by I/O-intensive applications such as databases. However, this approach is not widely used because of the lack of suitable database compression techniques. In this paper, we design and implement a novel database compression technique based on vector quantization (VQ). VQ is a data compression technique with wide applicability in speech and image coding, but it is not directly suitable for databases because it is lossy. We show how one may use a lossless version of vector quantization to reduce database Space Storage requirements and improve disk I/O bandwidth. >

Renato Recio - One of the best experts on this subject based on the ideXlab platform.

  • CLUSTER - Out of User Space Storage and RDMA
    2006 IEEE International Conference on Cluster Computing, 2006
    Co-Authors: Michael Ko, Renato Recio, Claudia Salzberg
    Abstract:

    User Space applications must invoke kernels calls in order to have the operating system handle file system and device driver processing for Storage requests. There is a high overhead associated with such calls, including the processing of suspending, scheduling and dispatching threads, interrupts, cache misses, etc. The overhead contributes to wasted processor cycles because all work on the thread being switched is stopped until the task switch is complete. The problem is worse for applications with a high Storage I/O to compute ratio. Alternatives to enable user Space applications to pass Storage requests directly to I/O adapters without run-time involvement from the operating system would eliminate this overhead

  • Out of User Space Storage and RDMA
    2006 IEEE International Conference on Cluster Computing, 2006
    Co-Authors: Michael Ko, Renato Recio, Claudia Salzberg
    Abstract:

    User Space applications must invoke kernels calls in order to have the operating system handle file system and device driver processing for Storage requests. There is a high overhead associated with such calls, including the processing of suspending, scheduling and dispatching threads, interrupts, cache misses, etc. The overhead contributes to wasted processor cycles because all work on the thread being switched is stopped until the task switch is complete. The problem is worse for applications with a high Storage I/O to compute ratio. Alternatives to enable user Space applications to pass Storage requests directly to I/O adapters without run-time involvement from the operating system would eliminate this overhead