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How Useful is Old Information? (1998)  (Make Corrections)  (2 citations)
Michael Mitzenmacher
IEEE Transactions on Parallel and Distributed Systems



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Abstract: Michael Mitzenmacher # Abstract We consider the problem of load balancing in dynamic distributed systems in cases where new incoming tasks can make use of old information. For example, consider a multi-processor system where incoming tasks with exponentially distributed service requirements arrive as a Poisson process, the tasks must choose a processor for service, and a task knows when making this choice the processor loads from T seconds ago. What is a good strategy for choosing a... (Update)

Context of citations to this paper:   More

.... from a set of randomly chosen d servers is often better than trying to choose the least loaded server from the whole set of servers [21]. The value of d can be as low as two. This is an interesting result in the context of distributed systems like the WWW where...

...paths, if available. Similar observations appear in studies of load balancing among servers with out of date information about server load [25]. Another technique is to use coarse grained link metrics to increase the likelihood of ties among several similar (but not...

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Load-Sensitive Routing of Long-Lived IP Flows - Shaikh, Rexford, Shin (1999)   (Correct)
Efficient Data Dissemination in the World Wide Web - Srinivasan, Eager (1998)   (Correct)

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BibTeX entry:   (Update)

Michael Mitzenmacher, "How Useful is Old Information?", Proceedings of the Sixteenth Annual ACM Symposium on Principles of Distributed Computing, 1997. http://citeseer.ist.psu.edu/mitzenmacher98how.html   More

@article{ mitzenmacher00how,
    author = "M. Mitzenmacher",
    title = "How Useful Is Old Information?",
    journal = "IEEE Transactions on Parallel and Distributed Systems",
    volume = "11",
    number = "1",
    pages = "6--??",
    year = "2000",
    url = "citeseer.ist.psu.edu/mitzenmacher98how.html" }
Citations (may not include all citations):
266   Adaptive load sharing in homogeneous distributed systems (context) - Eager, Lazowska et al. - 1986
192   Markov Processes: Characterization and Convergence (context) - Ethier, Kurtz - 1986
91   Balanced Allocations - Azar, Broder et al. - 1994
86   Large Deviations for Performance Analysis (context) - Shwartz, Weiss - 1995
81   Efficient PRAM Simulation on a Distributed Memory Machine - Karp, Luby et al. - 1992
66   The Power of Two Choices in Randomized Load Balancing - Mitzenmacher - 1996
46   Approximation of Population Processes (context) - Kurtz - 1981
45   The Efficiency of Greedy Routing in Hypercubes and Butterfli.. (context) - Stamoulis, Tsitsiklis - 1994
41   Load Balancing and Density Dependent Jump Markov Processes (context) - Mitzenmacher - 1996
41   Optimality of the Shortest Line Discipline (context) - Winston - 1977
40   Adaptive Load Sharing in Heterogeneous Distributed Systems (context) - Mirchandaney, Towsley et al. - 1990
35   the Analysis of Randomized Load Balancing Schemes - Mitzenmacher
30   Making Commitments in the Face of Uncertainty: How to Pick a.. - Awerbuch, Azar et al. - 1996
27   the Optimal Assignment of Customers to Parallel Servers (context) - Weber - 1978
27   Analysis of the Effects of Delays on Load Sharing (context) - Mirchandaney, Towsley et al. - 1989
22   Queueing System with Selection of the Shortest of Two Queues.. (context) - Vvedenskaya, Dobrushin et al. - 1996
20   Deciding Which Queue to Join: Some Counterexamples (context) - Whitt - 1986
19   Differential Equations for Random Processes and Random Graph.. (context) - Wormald - 1995
12   Analysis of Simple Algorithms for Dynamic Load Balancing - Alanyali, Hajek
11   Constant Time per Edge is Optimal on Rooted Tree Networks - Mitzenmacher - 1996
3   The Effect of Communication Delays on the Performance of Loa.. (context) - Towsley, Mirchandaney - 1988

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