Resource and Application Models for Advanced Grid Schedulers

TL;DR

This paper discusses principles and architectures for efficient resource allocation in heterogeneous Grid computing environments, emphasizing adaptability, self-organization, and autonomous management to handle dynamic resources.

Contribution

It introduces foundational principles and architectural concepts tailored for advanced, adaptive Grid schedulers managing diverse and dynamic resources.

Findings

Proposes principles for resource management in Grid computing.

Introduces architectural concepts for adaptive scheduling.

Addresses challenges of heterogeneity and dynamism in resources.

Abstract

As Grid computing is becoming an inevitable future, managing, scheduling and monitoring dynamic, heterogeneous resources will present new challenges. Solutions will have to be agile and adaptive, support self-organization and autonomous management, while maintaining optimal resource utilisation. Presented in this paper are basic principles and architectural concepts for efficient resource allocation in heterogeneous Grid environment.