A QoS Based Load Balancing Framework for Large Scale Elastic Distributed Systems
Van‐Giang Nguyen, Souheil Khaddaj, Andreas Hoppe, Eric Oppong
Abstract
Van‐Giang Nguyen, Souheil Khaddaj, Andreas Hoppe, Eric Oppong
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.
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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