2011Unpublished venueRequires access

A QoS Based Load Balancing Framework for Large Scale Elastic Distributed Systems

Van‐Giang Nguyen, Souheil Khaddaj, Andreas Hoppe, Eric Oppong

Open publisher page 6 citations

Abstract

The emergence of grid and cloud computing require load balancers to deal with potential problems, such as high level of scalability and heterogeneity of computing resources. In this paper, we present a generic load balancing framework which separates allocating process and migrating process while preserving a guaranteed level of service. Based on this framework, an intelligent load balancer that is aware of multiple Quality of Services and directed by users' requirements is proposed. The load balancer aims to deal with elastic heterogeneous distributed computing environments.

About this research paper

What this paper is about

The emergence of grid and cloud computing require load balancers to deal with potential problems, such as high level of scalability and heterogeneity of computing resources. In this paper, we present a generic load balancing framework which separates allocating process and migrating process while preserving a guaranteed level of service. Based on this framework, an intelligent load balancer that is aware of multiple Quality of Services and directed by users' requirements is proposed. The load balancer aims to deal with elastic heterogeneous distributed computing environments.

Why it matters

OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The emergence of grid and cloud computing require load balancers to deal with potential problems, such as high level of scalability and heterogeneity of computing resources. In this paper, we present a generic load balancing framework which separates allocating process and migrating process while preserving a guaranteed level of service. Based on this framework, an intelligent load balancer that is aware of multiple Quality of Services and directed by users' requirements is proposed. The load balancer aims to deal with elastic heterogeneous distributed computing environments.

Key concepts: Computer science, Distributed computing, Load balancing (electrical power), Scalability, Cloud computing, Quality of service, Load management, Network Load Balancing Services

Related papers

Back to paper searchBrowse research topicsOriginal source
A QoS Based Load Balancing Framework for Large Scale Elastic Distributed Systems — Research Paper | ScholarLens