SLEDs: Storage Latency Estimation Descriptors
Abstract
Managing the latency of storage systems is a key to creating effective
very large scale information systems, such as web interfaces to
satellite image databases and video-on-demand servers. Storage
Latency Estimation Descriptors (SLEDs) are architecture-independent
descriptions of the retrieval time of a unit of data. They describe
the latency to the first byte, and the bandwidth expected. SLEDs are
an important enabling technology for true end-to-end quality of
service (QoS) because they can be used to predict and schedule data
transfer with multimedia (guaranteed I/O rate) file systems. SLEDs
provide the interface that allows database management systems (DBMS)
and clients of hierarchical storage management (HSM) systems to
optimize their data access patterns by choosing to read data in
specific sequences or not at all. SLEDs are designed to work in
intra-machine, local-area network (LAN) and wide-area network (WAN)
storage systems, and to scale through twelve orders of magnitude in
latency, from thousands of seconds down to nanoseconds.
Paper
SLEDs is a white paper produced for submission to the NSF Workshop on Research & Development
(R&D) Opportunities in Federal Information Services, May 13-15,
1997.
- Rodney Van Meter
Latency Management and Quality of Service in Storage Systems
5 pages, as submitted to the workshop. Available in
HTML or PostScript.
- Rodney Van Meter
SLEDs: Storage Latency Estimation Descriptors
8 pages, with references. PostScript
- Presentation slides in PostScript.
Rod Van Meter <rdv@isi.edu>
Last modified: Wed May 14 19:11:09 1997