(Enter summary)
Abstract: In this paper we examine the problem of balancing load in a large-scale distributed
system when information about server loads may be stale. It is well known that sending
each request to the machine with the apparent lowest load can behave badly in such
systems, yet this technique is common in practice. Other systems use round-robin or
random selection algorithms that entirely ignore load information or that only use a
small subset of the load information. Rather than risk extremely bad... (Update)
Context of citations to this paper: More
.... the recency of the load information determines its accuracy, such an approach can result in decisions based on inaccurate information [10]. Further, if token passing is not too frequent, exchanging load information results in wasted messages. The advantage though is that a new...
...and network conditions) Random subsets would allow CDNs to track the state of a subset of global replicas. A number of earlier studies [9] indicate that making decisions based on a random subset of global information often performs comparably to maintaining global system state....
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BibTeX entry: (Update)
Michael Dahlin. Interpreting stale load information. In The 19th IEEE International Conference on Distributed Computing Systems (ICDCS), Austin, TX, May 1999. http://citeseer.ist.psu.edu/article/dahlin98interpreting.html More
@article{ dahlin00interpreting,
author = "M. Dahlin",
title = "Interpreting Stale Load Information",
journal = "IEEE Transactions on Parallel and Distributed Systems",
volume = "11",
number = "10",
pages = "33--??",
year = "2000",
url = "citeseer.ist.psu.edu/article/dahlin98interpreting.html" }
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