Towards a Centralized Scheduling Framework for Communication Flows in Distributed Systems
Data Structures and Algorithms
2009-06-02 v1 Distributed, Parallel, and Cluster Computing
Networking and Internet Architecture
Abstract
The overall performance of a distributed system is highly dependent on the communication efficiency of the system. Although network resources (links, bandwidth) are becoming increasingly more available, the communication performance of data transfers involving large volumes of data does not necessarily improve at the same rate. This is due to the inefficient usage of the available network resources. A solution to this problem consists of data transfer scheduling techniques, which manage and allocate the network resources in an efficient manner. In this paper we present several online and offline data transfer optimization techniques, in the context of a centrally controlled distributed system.
Cite
@article{arxiv.0906.0350,
title = {Towards a Centralized Scheduling Framework for Communication Flows in Distributed Systems},
author = {Mugurel Ionut Andreica and Eliana-Dina Tirsa and Nicolae Tapus and Florin Pop and Ciprian Mihai Dobre},
journal= {arXiv preprint arXiv:0906.0350},
year = {2009}
}