Optimal online balanced graph partitioning
WebThis paper initiates the study of the classic balanced graph partitioning problem from an online perspective: Given an arbitrary sequence of pairwise communication requests be- ... let Onl(˙), resp. Opt(˙), be the cost incurred by an online algorithm Onl, resp. by an optimal o ine algorithm Opt, for a given ˙. In contrast to Onl, which ... WebThis paper revisits the dynamic balanced graph partitioning problem, a generalization of the classic balanced graph partitioning problem. We are given a set P of n = kℓ processes which communicate over time according to a given request sequence σ. The processes are assigned to ℓ servers (each of capacity k), and a scheduler can change this ...
Optimal online balanced graph partitioning
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WebThe graph partitioning problem asks for a division of a graph's node set into k equally sized blocks such that the number of edges that run between the blocks is minimized. An example graph that is partitioned into four blocks: KaHIP - Karlsruhe High Quality Partitioning - is a family of graph partitioning programs. It includes KaFFPa ... WebThis paper revisits the online balanced partitioning problem that asks for an algorithm that strikes an optimal tradeoff between the benefits of collocation and its costs and improves the deterministic lower bound of Ω(k • ℓ) on the competitive ratio. Distributed applications generate a significant amount of network traffic. By collocating frequently communicating …
WebThe sheer increase in the size of graph data has created a lot of interest into developing efficient distributed graph processing frameworks. Popular existing frameworks such as GraphLab and Pregel rely on balanced graph partitioning in order to minimize communication and achieve work balance.. In this work we contribute to the recent … WebApr 10, 2024 · Task allocation is crucial for autonomous underwater vehicle (AUV) collaboration in multi-AUV maritime search and rescue missions. In real projects, there are possible target areas existing in task areas, which are not expected to be divided. Motivated by such a special situation, this paper proposes an area partitioning method to allocate …
WebJun 27, 2004 · This work considers Min-Max k-Partitioning, the problem of dividing a graph into k equal-sized parts while minimizing the maximum cost of edges cut by a single part, … Webparticular, we introduce the Balanced RePartitioning (BRP) problem: Given an arbitrary se-quence of pairwise communication requests between nnodes, with patterns that may …
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WebJun 27, 2004 · In this paper we consider the problem of (k, υ)-balanced graph partitioning - dividing the vertices of a graph into kalmost equal size components (each of size less than υ• nk) so that the capacity of edges between different components is minimized. coach holidays from newportWebfor the (k;1)-balanced partitioning problem has to partition the graph into small pieces as well. From this the authors deduce that their algorithm cuts only a small factor more … calendars for desktop backgroundWebOptimal Online Balanced Graph Partitioning Pages 1–9 PreviousChapterNextChapter ABSTRACT Distributed applications generate a significant amount of network traffic. By … calendar shared googleWebThis paper initiates the study of a natural model for online graph partitioning. We are given a set of nnodes with time-varying pairwise communication patterns, which have to be … coach holidays from newport gwentWebOct 20, 2006 · We consider the problem of partitioning a graph into k components of roughly equal size while minimizing the capacity of the edges between different components of the cut. In particular we require that for a parameter ν ≥ 1, no component contains more than ν · n/k of the graph vertices. coach holidays from niWebNov 6, 2015 · This paper initiates the study of a fundamental online problem called online balanced repartitioning. Unlike the classic graph partitioning problem, our input is an arbitrary sequence of... coach holidays from north east englandWebFeb 24, 2014 · For instance, for the Twitter graph with more than 1.4 billion of edges, our method partitions the graph in about 40 minutes achieving a balanced partition that cuts as few as 6.8% of edges, whereas it took more than 81/2 hours by METIS to produce a balanced partition that cuts 11.98% of edges. calendars for alzheimer patients