Autonomic Cloud Computing: Open Challenges and Architectural Elements

TL;DR

This paper discusses the challenges in managing complex cloud systems and proposes architectural elements and management techniques for autonomous resource provisioning to improve service reliability, security, and cost-efficiency.

Contribution

It introduces a conceptual architecture for autonomic cloud management and presents early results demonstrating its benefits for SaaS applications.

Findings

Early results show improved resource management efficiency.

The architecture supports secure and reliable cloud services.

Identifies open issues in autonomic resource provisioning.

Abstract

As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that are secure, reliable, and cost-efficient. Hence, effective management of services becomes fundamental in software platforms that constitute the fabric of computing Clouds. In this direction, this paper identifies open issues in autonomic resource provisioning and presents innovative management techniques for supporting SaaS applications hosted on Clouds. We present a conceptual architecture and early results evidencing the benefits of autonomic management of Clouds.