Study of Windows based .NET ANEKA in Cloud Computing
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : Bimal. VO, Sreya. PP|
|DOI : 10.14445/22312803/IJCTT-V49P142|
Bimal. VO, Sreya. PP "Study of Windows based .NET ANEKA in Cloud Computing". International Journal of Computer Trends and Technology (IJCTT) V49(5):259-262, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Cloud computing is one of the demanding technologies that can provide computing services such as servers, databases, networking, software etc over the Internet. Companies offering these computing services are called cloud providers and typically they charge for cloud computing services based on usage. If we use an online service to send email, edit documents, watch movies or TV, listen to music, play games or store pictures and other files, it is likely that cloud computing is making it all possible behind the scenes. Aneka is a Application Development Platform (CAP) for developing and running compute and data intensive applications. There are three programming models in Aneka and a set of APIs and tools that allow you to build new applications or run existing legacy code. Aneka provides developers with a rich set of APIs for transparently exploiting such resources and expressing the business logic of applications. Aneka allows different kind of applications to be executed on the same Grid/Cloud infrastructure. In order to support such flexibility it provides different abstractions. This paper discusses the possibilities and usage of Microsoft Windows based cloud computing software as we called ANEKA.
 Christeena Abraham, Bimal VO, ? Study of the first WINDOWS OS based cloud application software- ANEKA?, Imperial Journal of Interdisciplinary Research, Vol-3 , Issue-2 -2017 ISSN 2454 1362.
 R. Buyya, C. Yeo, S. Venugopal,J. Broberg, and I. Brandic, Cloud Computing and Emerging IT Platforms:Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Future Generation Computer Systems,25(6):599-616, Elsevier,The Netherlands, June 2009.
 R. Buyya, J. Broberg, and A. Goscinski (eds), Cloud Computing: Principles and Paradigms, Wiley Press, USA, Feb. 2011.
D. Chappell, Introducing the Windows Azure Platform, David Chappell & Associates, October 2010.
 .C. Vecchiola, X. Chu, and R. Buyya, Aneka: A Software Platform for .NET-based Cloud Computing, High Speed and Large Scale Scientific Computing, 267-295 pp., IOS Press, Amsterdam, Netherlands, 2009.
 .S Ghemawat and J Dean, MapReduce: Simplified Data processing on Large Clusters, Proceedings of the 6 th Symposium on Operating System Design and Implementation (OSDI’04), San Francisco, CA, USA, 2004.
 .K. Raghavendra, A. Akilan, N. Ravi, K. P. Kumar, and G. Varadan, Satellite Data Product Generation Using Aneka Cloud, Research Demo at the 10 th IEEE International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2010), Melbourne, Australia, 2010.
. Chao Jin, Rajkumar Buyya, MapReduce Programming Model for .NET-BasedCloud Computing, Euro-Par 2009: 417-428.
 Bimal VO, M Anand Kumar, Cluster usage analysis of timeline based grid scheduling algorithm in International Journal of Computer Trends & Technology (IJCTT), January 2017, ISSN: 2231-2803.
CLUSTER, RESOURCE, CLOUD, GRID COMPUTING, IMAGE PROCESSING.