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

Securely Communicating With an Optimal Cloud for Intelligently Enhancing a Cloud's Elasticity

Securely Communicating With an Optimal Cloud for Intelligently Enhancing a Cloud's Elasticity
View Sample PDF
Author(s): S. Kirthica (Anna University, India)and Rajeswari Sridhar (Anna University, India)
Copyright: 2019
Pages: 17
Source title: Cloud Security: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-8176-5.ch039

Purchase

View Securely Communicating With an Optimal Cloud for Intelligently Enhancing a Cloud's Elasticity on the publisher's website for pricing and purchasing information.

Abstract

One of the principle features on which cloud environments operate is the scaling up and down of resources based on users' needs, called elasticity. This feature is limited to the cloud's physical resources. This article proposes to enhance the elasticity of a cloud in an intelligent manner by communicating with an optimal external cloud (EC) and borrowing additional resources from it when the cloud runs out of resources. This inter-cloud communication is secured by a model whose structure is similar to the Kerberos protocol. To choose the optimal EC for a particular request of a user, a list of parameters, collectively termed as RePVoCRaD, are enumerated. Once chosen, trust is established with the chosen EC and inter-cloud communication begins. While existing works deal with third parties to establish or secure inter-cloud communication, this work is novel in that there is absence of third parties in the entire process, thereby reducing security threats and additional costs involved. Evaluating this work based on turnaround time and transaction success rate, in a real-time cloud environment, it is seen that the cloud's elasticity is so enhanced that it successfully accommodates its users' additional demands by the fastest means possible.

Related Content

Dina Darwish. © 2024. 43 pages.
Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, Julius Kugonza. © 2024. 23 pages.
Yogita Yashveer Raghav, Ramesh Kait. © 2024. 17 pages.
Renuka Devi Saravanan, Shyamala Loganathan, Saraswathi Shunmuganathan. © 2024. 21 pages.
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani, Huma Khan, Sabyasachi Pramanik, Ankur Gupta, Digvijay Pandey. © 2024. 30 pages.
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, Balakumar Muniandi, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech. © 2024. 9 pages.
Avtar Singh, Shobhana Kashyap. © 2024. 11 pages.
Body Bottom