Power Efficient Resource Allocation for Clouds Using Ant Colony Framework

TL;DR

This paper proposes an energy-efficient resource allocation mechanism for cloud computing that uses an Ant Colony framework to meet SLA requirements while reducing energy consumption and operational costs.

Contribution

It introduces a novel Ant Colony-based approach for dynamic, SLA-compliant resource allocation in cloud data centers to improve energy efficiency.

Findings

Reduces energy consumption in cloud data centers.

Maintains SLA performance metrics such as throughput and response time.

Demonstrates effectiveness of Ant Colony framework in resource management.

Abstract

Cloud computing is one of the rapidly improving technologies. It provides scalable resources needed for the ap- plications hosted on it. As cloud-based services become more dynamic, resource provisioning becomes more challenging. The QoS constrained resource allocation problem is considered in this paper, in which customers are willing to host their applications on the provider's cloud with a given SLA requirements for performance such as throughput and response time. Since, the data centers hosting the applications consume huge amounts of energy and cause huge operational costs, solutions that reduce energy consumption as well as operational costs are gaining importance. In this work, we propose an energy efficient mechanism that allocates the cloud resources to the applications without violating the given service level agreements(SLA) using Ant colony framework.