Towards a Centralized Scheduling Framework for Communication Flows in Distributed Systems

TL;DR

This paper proposes a centralized scheduling framework to optimize communication flows in distributed systems, aiming to improve data transfer efficiency by better managing network resources.

Contribution

It introduces new online and offline data transfer scheduling techniques within a centralized control architecture for distributed systems.

Findings

Enhanced data transfer efficiency demonstrated in simulations

Effective resource allocation reduces transfer times

Framework adaptable to various distributed system architectures

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.