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Summary: Local Optimization of Global Objectives:
Competitive Distributed Deadlock Resolution and
Resource Allocation
Baruch Awerbuch \Lambda Yossi Azar y
Abstract
The work is motivated by deadlock resolution and
resource allocation problems, occurring in distributed
serverclient architectures. We consider a very general
setting which includes, as special cases, distributed band
width management in communication networks, as well as
variations of classical problems in distributed computing
and communication networking such as deadlock resolu
tion and ``dining philosophers''.
In the current paper, we exhibit first local solutions
with globallyoptimum performance guarantees. An ap
plication of our method is distributed bandwidth man
agement in communication networks. In this setting,
deadlock resolution (and maximum fractional indepen
dent set) corresponds to admission control maximizing
network throughput. Job scheduling (and minimum frac
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