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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... (Update)
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.... estimator descriptors estimate the latency for accessing the first byte of data and the expected bandwidth for subsequent transfer [23]. Steere proposed a construct, called a set iterator, that exploits asynchrony and non determinism in data accesses to reduce aggregate I...
...workloads by proposing storage mechanisms that exploit freedom to reorder storage accesses. Storage latency estimation descriptors [24] estimate the latency for accessing the first byte of data and the expected bandwidth for subsequent transfer. Steere [34] proposed a construct,...
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BibTeX entry: (Update)
Rodney Van Meter. Sleds: storage latency estimation descriptors. IEEE Symposium on Mass Storage Systems (Greenbelt, MD, 23--26 March 1998. http://citeseer.ist.psu.edu/meter98sled.html More
@misc{ meter-sleds,
author = "Rodney Van{ }Meter",
title = "SLEDs: Storage Latency Estimation Descriptors",
url = "citeseer.ist.psu.edu/meter98sled.html" }
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