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

A2Cloud: The Anytime Anywhere Cloud

A2Cloud: The Anytime Anywhere Cloud
View Sample PDF
Author(s): João Nuno Silva (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal)and Luís Veiga (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal)
Copyright: 2014
Pages: 31
Source title: Mobile Networks and Cloud Computing Convergence for Progressive Services and Applications
Source Author(s)/Editor(s): Joel J.P.C. Rodrigues (Senac Faculty of Ceará, Fortaleza-CE, Brazil; Instituto de Telecomunicações, Portugal), Kai Lin (Dalian University of Technology, China)and Jaime Lloret (Polytechnic University of Valencia, Spain)
DOI: 10.4018/978-1-4666-4781-7.ch013

Purchase

View A2Cloud: The Anytime Anywhere Cloud on the publisher's website for pricing and purchasing information.

Abstract

This book chapter presents the integration of widely available technologies to bridge the gap between mobile devices and their computational rich surrounding environments. Taking as common glue Cloud Storage systems, new interaction between devices becomes more natural. The processing of files can be transparently executed on nearby computers, taking advantage of better hardware and saving mobile devices power. In this chapter, the authors present a novel resource evaluation mechanism, which allows a finer evaluation and more precise comparison of remote resources, leading to fewer wasted resources and better use of those resources. The use of remote resources can be performed by means of processing offloading, executing complete application on remote devices or by relocation of mobile classes. Both methods resort to the presented resource evaluation mechanism. Monolithic applications are transformed (with information from a configuration file) into distributed application, where some components execute on remote devices: nearby computers (to take advantage of existing human-computer interaction devices) or on the cloud (to speed processing). Processing offloading is accomplished by executing on nearby computers applications compatible with the one on the mobile device. This speeds that processing task (better CPU, better interaction devices), reducing the mobile device’s power consumption.

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