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Storage Systems - Service Level Enforcement Discipline for Storage

IBM Almaden Research Center


Overview

The SLEDS project is about storage performance management—allowing customers to make the best use of the performance available in their storage systems. Basic performance management tracks the use of system resources. SLEDS goes further by allowing a system administrator to measure and control the Quality of Service (QoS) offered by a storage system to each application host and to each application. With the technology developed in SLEDS, an administrator can do the following:

  • Guarantee and document that I/O performance meets service level agreements (SLAs)in a service provider environment

  • Ensure that heavy use by one host application does not swamp the system resources and degrade the performance of other applications

  • Apply differentiated service for latency-sensitive and bandwidth-intensive applications

  • Identify any bottleneck resources that are limiting storage performance
  • SLEDS applies instrumentation to the I/O-path connections between applications and their storage, typically in a Storage Area Network (SAN). The instrumentation is used for monitoring and control. A central application communicates with the instrumentation, analyzes the data and applies user-supplied policies. This central application is a single point for administering QoS for the entire storage installation.

    The research phase of SLEDS has been completed. As was presented at the Symposium on Reliable Distributed Systems in 2003 and referenced to the right, the SLEDS project created a robust prototype and evaluated its effectiveness in mediating performance resource use between competing workloads. In addition, an extensive web-based management application has been created that integrates SLEDS monitoring and control into a facility for managing system I/O performance

    Technical Papers
    David D. Chambliss, Guillermo A. Alvarez, Prashant Pandey, Divyesh Jadav, Jian Xu, Ram Menon, Tzongyu P. Lee:
    Link to content in pdf format Performance Virtualization for Large-Scale Storage Systems.
    Proceedings of the 22nd Symposium on Reliable Distributed Systems (SRDS 2003), pages 109-118, Florence, Italy, October 2003. IEEE Computer Society.

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