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General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly (2012-2016); Quarterly (Since 2017)
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2016 Vol.5(1): 47-52 ISSN: 2010-3751
doi: 10.18178/ijfcc.2016.5.1.442

Study and Analysis of Cloud Aided Remote Sensing Multiprocessing System (CARMS) with Task Allocation

M. Zubair khan, Geeta Devi, and Yasser M. Alginahi
Abstract—Cloud computing is one of the promising and successful technology in this technological era and because of the limitation of remote sensing the concept called Cloud Aided Remote Sensing Multiprocessing System (CARMS) came into existence. It is the combination of technologies called Remote sensing and Cloud Computing, which makes Internet of everything enabler possible (ubiquitous computing). In CARMS scenario, system can have different types of tasks or requests and some maybe requested at the same instance of time. In such cases, it is important that the system should serve maximum possible tasks gaining profit to the sensing services at clouds and providing user satisfaction at the same time. Hence, for the sensing services of sensors in cloud, an optimal scheduling or task allocation scheme has to be developed so that multiple requests or tasks may get response and therefore, these tasks can be scheduled, processed and handled properly without any delay. Thus, the proposed work provides an algorithm that allows efficient task allocation which aims at providing efficient distribution of tasks to the Virtual Machines in the cloud.

Index Terms—Remote sensing (RS), cloud computing (CC), internet of everything enabler (IOE), cloud aided remote sensing multiprocessing system (CARMS), distributive sensor cloud system (DSCS).

M. Zubair Khan is with Taibah University, P.O. Box 344, Madinah, Saudi Arabia (e-mail: mkhanb@taibahu.edu.sa).
Geeta Devi is with Invertis University Bareilly, India (e-mail: geetar01@gmail.com).
Yasser M. Alginahi is with Deanship of Academic Services, Taibah University, P.O. Box. 344, Madinah, Saudi Arabia (e-mail: yginahi@taibahu.edu.sa).


Cite: M. Zubair khan, Geeta Devi, and Yasser M. Alginahi, "Study and Analysis of Cloud Aided Remote Sensing Multiprocessing System (CARMS) with Task Allocation," International Journal of Future Computer and Communication vol. 5, no. 1, pp. 47-52, 2016.

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