IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Achieving Flexible SLA and Resource Management in Clouds

Achieving Flexible SLA and Resource Management in Clouds
View Sample PDF
Author(s): Vincent C. Emeakaroha (Vienna University of Technology, Austria), Marco A. S. Netto (IBM Research, Brazil), Rodrigo N. Calheiros (The University of Melbourne, Australia)and César A. F. De Rose (PUCRS, Brazil)
Copyright: 2012
Pages: 22
Source title: Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice
Source Author(s)/Editor(s): Massimo Villari (Università degli Studi di Messina, Italy), Ivona Brandic (Vienna University of Technology, Austria)and Francesco Tusa (Università degli Studi di Messina, Italy)
DOI: 10.4018/978-1-4666-1631-8.ch014

Purchase

View Achieving Flexible SLA and Resource Management in Clouds on the publisher's website for pricing and purchasing information.

Abstract

One of the key factors driving Cloud computing is flexible and on-demand resource provisioning in a pay-as-you-go manner. This resource provisioning is based on Service Level Agreements (SLAs) negotiated and signed between customers and providers. Efficient management of SLAs and Cloud resources to reduce cost, achieve high utilization, and generate profit is challenging due to the large-scale nature of Cloud environments and complex resource provisioning processes. In order to advance the adoption of this technology, it is necessary to identify and address the issues preventing proper resource and SLA management. The authors purport that monitoring is the first step towards successful management strategies. Thus, this chapter identifies the SLA management and monitoring challenges in Clouds and federated Cloud environments, and proposes a novel resource monitoring architecture as a basis for resource management in Clouds. It presents the design and implementation of this architecture and presents the evaluation of the architecture using heterogeneous application workloads.

Related Content

Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar. © 2024. 30 pages.
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo, Abdalla Hassan Gharib, Amaranadha Reddy Manchuri, Navid Ali Khan, Wee Jing Tee, Lalitha Muniandy. © 2024. 67 pages.
Ruchi Doshi, Kamal Kant Hiran. © 2024. 16 pages.
N. Ambika. © 2024. 9 pages.
Siva Raja Sindiramutty, Wee Jing Tee, Sumathi Balakrishnan, Sukhminder Kaur, Rajan Thangaveloo, Husin Jazri, Navid Ali Khan, Abdalla Gharib, Amaranadha Reddy Manchuri. © 2024. 54 pages.
Azeem Khan, NZ Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar. © 2024. 22 pages.
Azeem Khan, Noor Zaman Jhanjhi, Dayang Hajah Tiawa Binti Awang Haji Hamid, Haji Abdul Hafidz bin Haji Omar. © 2024. 36 pages.
Body Bottom