A Detailed Review on Agent-based Computing in Hybrid Multi Cloud to Handle the Big Data Issues by Improving the Performance of Cloud Management
D Anuradha and S Bhuvaneshwari. Article: A Detailed Review on Agent-based Computing in Hybrid Multi Cloud to Handle the Big Data Issues by Improving the Performance of Cloud Management. IJCA Proceedings on National Conference on Future Computing 2014 NCFC 2014(2):36-41, January 2014. Full text available. BibTeX
@article{key:article,
author = {D. Anuradha and S. Bhuvaneshwari},
title = {Article: A Detailed Review on Agent-based Computing in Hybrid Multi Cloud to Handle the Big Data Issues by Improving the Performance of Cloud Management},
journal = {IJCA Proceedings on National Conference on Future Computing 2014},
year = {2014},
volume = {NCFC 2014},
number = {2},
pages = {36-41},
month = {January},
note = {Full text available}
}
Abstract
Today, the cloud computing has been a focus of research. Security and privacy are the key issues for cloud computing applications, and still face some enormous challenges. Agent-based cloud computing is concerned with the design and development of software agents for bolstering cloud service discovery, service negotiation, and service composition. With the advance of cloud computing, hybrid cloud that integrate private and public cloud is increasingly becoming an important research issue. Agents are used in migrating cloud applications from a busy host to an idle host in an efficient way to guarantee the performance in the geographical heterogeneous cloud environment involving Big data. Big data is defined as large amount of data which requires advanced technologies and architectures to extract result of analysis process. . Big data due to its various properties like volume, velocity, variety, variability, value and complexity put forward many challenges. Big data is a recent upcoming technology in the market which can bring huge benefits to the business organizations. To handle the Big data issues Scientific Data Infrastructure (SDI) can be naturally implemented using modern cloud based infrastructure services provisioning model. Since the Big data involves some of the sensitive data of users security issues are important.
References
- Kwang Mong Sim, Senior Member, IEEE, "Agent-Based Cloud Computing", IEEE transactions on services computing, vol. 5, no. 4, October-December 2012
- Chih-Tien, Fan,Wei-Jen Wang,Yue-Shan Chang, "Agent-based Service Migration Framework in Hybrid Cloud", IEEE International Conference on High Performance Computing and Communications, 2011.
- Avita Katal, Mohammad Wazid, R H Goudar ," Big Data: Issues, Challenges, Tools and Good Practices", 2013 IEEE
- Yuri Demchenko, Zhiming Zhao, Paola Grosso, Adianto Wibisono, Cees de Laat, "Addressing Big Data Challenges for Scientific Data Infrastructure", 2012 IEEE 4th International Conference on Cloud Computing Technology and Science
- Wentao Liu, "Research on Cloud Computing Security Problem and Strategy", IEEE, 2012
- K. M. Sim, "Agent-Based Cloud Commerce," Proc. IEEE Int'l Conf. Industrial Eng. and Eng. Management, pp. 717-721, 2009.
- K. M. Sim, "Towards Agent-Based Cloud Markets (Position Paper)," Proc. Int'l Conf. E-CASE, and E-Technology, pp. 2571-2573, Jan. 2010.
- Sam Madden, " From Databases to Big Data", IEEE, Internet Computing, May-June 2012.
- Cloud Security Alliance :http://www. cloudsecurityalliance. org/
- George Pallis, "Cloud Computing: The New Frontier of Internet Computing," IEEE Internet Computing, Vol. 14, No. 5, 2010, pp. 70-73.
- Hui Zhang, Guofei Jiang, Kenji Yoshihira, Haifeng Chen, Akhilesh Saxena, "Intelligent Workload Factoring for a Hybrid Cloud Computing Model, " 2009 Congress on Services - I pp. 701-708.
- Stephen Kaisler and William H. Money, "Service Migration in a Cloud Architecture," 44th Hawaii International Conference on System Sciences (HICSS), 2011, pp. 1-10.