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A General Approach to Online Network Optimization Problems
Noga Alon
*
, Baruch Awerbuch
,
Yossi Azar
,
Niv Buchbinder
, Joseph Naor
*
Corresponding author for this work
School of Computer Science and AI
Johns Hopkins University
Technion-Israel Institute of Technology
Research output
:
Contribution to conference
›
Paper
›
peer-review
28
Scopus citations
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Keyphrases
Online Networks
100%
Randomized Algorithms
100%
Network Optimization Problems
100%
Fractional Solutions
66%
Non-metricity
66%
Metric Facility Location
66%
Log-log
33%
Communication Networks
33%
Unified Framework
33%
Tight
33%
General Graphs
33%
Number of Vertices
33%
Log 2
33%
Number of Edges
33%
Online Algorithms
33%
Competitive Ratio
33%
Deterministic Algorithm
33%
Internet Connectivity
33%
Multicast
33%
Bandwidth Allocation
33%
Competitive Algorithm
33%
Rounding Technique
33%
Integral Solution
33%
Multicommodity Flow
33%
Number of Groups
33%
Maximum Flow
33%
Hierarchical Decomposition
33%
Cutting Problem
33%
Steiner Problem
33%
Network Design Problem
33%
Graph Optimization Problem
33%
Online Groups
33%
Graph Decomposition
33%
Computer Science
Optimization Problem
100%
Randomized Algorithm
100%
Network Optimization
100%
Online Network
100%
Unified Framework
33%
Dependent Variable
33%
Communication Network
33%
on-line algorithm
33%
Competitive Ratio
33%
Allocation Problem
33%
Bandwidth Allocation
33%
Integral Solution
33%
Network Design Problem
33%
Hierarchical Decomposition
33%
Multicast Problem
33%
Mathematics
Rounding
100%
Network Optimization
100%
Wide Range
50%
Approximates
50%
Edge
50%
Dependent Variable
50%
Competitive Ratio
50%
Min-Cut
50%
Dependent Problem
50%
Integral Solution
50%