Design and Implementation for an Improved Version of Cloud Computing Architecture by using Concept of Ontology with Query Retrieval and Refinement Mechanism
DOI:
https://doi.org/10.15662/IJRAI.2018.0101003Keywords:
Cloud computing, Cloud services, ANEKA, Programming Models (Task, Thread, Map Reduce and Parameter Sweeping)Abstract
The conception of cloud computing has been prevailing in minds of each individuals, business likewise as scientific organizations. The promotional material of cloud is at high pace. Technology has become thus advanced that the majority in operation systems square measure compatible to figure with cloud suppliers as a result of cloud computing is predicated on pay per usage and market bound policy. They supply facilities and simple accessibility to users for accessing resources in multiple environments. During this paper, varied aspects of cloud computing and its applications square measure conferred. The paper conjointly presents execs and cons of ANEKA-one of .NET application framework to develop cloud computing platform in multiple virtual setting likewise as physical setting. It’s compatible with Windows and UNIX each. It describes varied programming models that convert applications into cloud application so facultative ANEKA cloud infrastructure in system. ANEKA is verified to be one in every of scalable and reliable technologies in cloud word.
References
[1]. G. GRUMAN, E. KNORR, What cloud
computing really means. InfoWorld, (2009, May). [Online].Available: http://www.infoworld.com/d/cloudcomputing/ what-cloudcomputing-really means- 031
[2]. Quiroz A, Kim H, Parashar M, Gnanasambandam N, Sharma N, 2009, “Towards workload provisioning for enterprise grids and clouds”, IEEE/ACM international conference on grid computing. pp 50-57
[3]. Abirami S.P., Shalini Ramanathan, 2012 “Linear Scheduling Strategy for Resource allocation in Cloud Environment”, International Journal on Cloud Computing and Architecture vol.2, No.1, February
[4]. Rajkumar Buyya, Chee Shin Yeo, Srikumar Venugopal, James Broberg, and Ivona 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 Science, Amsterdam, The Netherlands, June 2009.
[5]. Chao Jin, Rajkumar Buyya, MapReduce Programming Model for .NET-Based Cloud Computing, Euro-Par 2009: 417-428.
[6] Sanjay Ghemawat and Jeffrey Dean, MapReduce: Simplified Data Processing on Large Clusters, Symposium on Operating System Design and Implementation (OSDI’04), San Francisco, CA, USA, 2004
[7]. Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, Matei Zaharia, A View of Cloud Computing, Communications of the ACM, Vol. 53 No. 4, Pages 50-58, 2010.
