A Literature Survey on Cloud Computing
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2015 by IJETT Journal|
|Year of Publication : 2015|
|Authors : P.Nagendra Babu, M.Chaitanya Kumari,S.Venkat Mohan
|DOI : 10.14445/22315381/IJETT-V21P256|
P.Nagendra Babu, M.Chaitanya Kumari,S.Venkat Mohan"A Literature Survey on Cloud Computing", International Journal of Engineering Trends and Technology (IJETT), V21(6),305-312 March 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
From past decade onwards Cloud Computing plays a vital role. Cloud computing is a computation, software, data access, and storage services that do not require end-user knowledge of the physical location and configuration of the system that delivers the services. Cloud computing is the fastest new paradigm for delivering on demand services over internet and can be described as internet centric software. Cloud computing describes a new supplement, consumption, and delivery model for IT services based on Internet protocols, and it typically involves provisioning of dynamically scalable and often virtualized resources. It is a byproduct and consequence of the ease-of-access to remote computing sites provided by the Internet. This frequently takes the form of web-based tools or applications that users can access and use through a web browser as if they were programs installed locally on their own computers. In this paper we discussed all the basic concepts of Cloud Computing. It is very useful to do research in this area.
 Istvan Mezgar, Ursula Rauschecker, “The Challenge of Networked Enterprises for Cloud Computing Interoperability.”
 Maricela-Georgiana Avram (Olaru), “Advantages and Challenges of Adopting Cloud Computing from an Enterprise Perspective,” The 7th International Conference Interdisciplinary in Engineering (INTERENG 2013)
 Samah Mawia Ibrahim Omer, Amin Babiker A.Mustafa and Fatema Abdallah Elmahdi Alghali, “Comparative Study Between Cluster, Grid, Utility, Cloud and Autonomic Computing”e-ISSN 2278-1676
 Pinol Salot, “ A Survey of Various Scheduling Algorithm in Cloud Computing Environment”, ISSN 2319-1163
 C.N. Hoefer and G. Karagianni, “Taxonomy of Cloud Computing Services”, IEEE 2010.
 Naidila Sadashiv, S. M Dilip Kumar, “Cluster, Grid and Cloud Computing: A Detailed Comparison,” ICCSE 2011.
 Kalaiselvan.K, “Cluster, Grid, Cloud –Concepts, ” CDAC Bangalore
 Yashpalsinh Jadeja, Kirit Modi, “Cloud Computing - Concepts, Architecture and Challenges”, ICCEET- 2012.
 Yu-Hunag Chu, Yao-Ting Chen, Yu-Chieh Chou, Min-Chi Tseng, “A Simplified Cloud Computing Network Architecture Using Future Internet Technologies”.
 Chunye Gong, Jie Liu, Qiang Zhang, Haitao Chen and Zhenghu Gong, “The Characteristics of Cloud Computing,” 39th International Conference on Parallel Processing Workshops, 2010.
 Shuai Zhang, Xuebin Chen, Shufen Zhang, Xiuzhen Huo, “Cloud Computing Research and Development Trend,” IEEE, 2010.
 Zhuang Wu, “Study and Realization of Automatic Supply Solution for Enterprise IT Basic Facility Based on Cloud Computing”
 Rahul Bhoyar, Prof. Nitin Chopde, “Cloud Computing:Service Models,Types,Database and Issues, ” ISSN 2277 128X
 Thomas Erl, Zaigham Mahmood and Ricardo Puttini, “Cloud Computing Concepts, Technology & Architecture”
 Nandan Mirajkar, Mohan Barde, Harshal Kamble, Dr.Rahul Athale and Kumud Singh, “Implementation of Private Cloud using Eucalyptus and an open source Operating System”
 Dr. M. Dakshayini, Dr. H. S. Guruprasad, “An Optimal Model for Priority based Service Scheduling Policy for Cloud Computing Environment,” International Journal of Computer Applications, 0975– 8887
 Dr. Ajay jangra and Tushar Saini, “Scheduling Optimization in Cloud Computing”, ISSN 2277 128X.
 Er. Shimpy, Mr. Jagandeep Sidhu, “Different Scheduling Algorithms In Different Cloud Environment,” ISSN 2278-1021
 Rohit O. Gupta, Tushar Champaneria, “A Survey of Proposed Job Scheduling Algorithms in Cloud Computing Environment,” ISSN 2277 - 128X
 Mrs.S.Selvarani, Dr.G.Sudha Sadhasivam, “Improved cost-based algorithm for task scheduling in Cloud computing”, IEEE 2010.  Seyyed Mohsen Hashemi, Amid Khatibi Bardsiri, “Cloud Computing vs. Grid Computing”, ISSN 2222-9833.
 Yogita Chawla and Mansi Bhonsle, “A Study on Scheduling Methods in Cloud Computing,” ISSN 2278-6856
 Rajveer Kaur and Supriya Kinger, “Analysis of Job Scheduling Algorithms in Cloud Computing,” ISSN 2231- 3803
 Qi Cao, Zhi - Bo Wei, Wen - Mao Gong, "An Optimized Algorithm for Task Scheduling Based on Activity Based Costing in Cloud Computing", IEEE, 2009
 Selvarani, S., Sadhasivam, G.S., "Improved cost-based algorithm for task scheduling in cloud computing ",IEEE, 2011
 S. Mukute, G. Hapanyengwi, B. Mapako, B. M. Nyambo, A. Mudzagada, “Scheduling In Instance - Intensive Cost-Constrained Workflows In A Cloud”, ISSN 2229 – 5518
 Ke Liu, Hai Jin, Jinjun Chen, Xiao Liu, Dong Yuan, Yun Yang, “A Compromised-Time-Cost Scheduling Algorithm in SwinDeW-C for Instance-Intensive Cost-Constrained Workflows on Cloud Computing Platform”
 Suraj Pandey, LinlinWu, Siddeswara Mayura Guru, Rajkumar Buyya, “A Particle Swarm Optimization-based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments”
 Cui Lin, Shiyong Lu, Scheduling Scientific Workflows Elastically for Cloud Computing. IEEE, 4th International Conference on Cloud Computing, 2011
 Han Zhao, Xiaolin Li, “AuctionNet: Market oriented task scheduling in heterogeneous distributed environments”, IEEE, 2010
 Meng Xu, Lizhen Cui, Haiyang Wang, Yanbing Bi, Multiple QoS Constrained Scheduling Strategy of Multi-Workflows (MQMW). Parallel and Distributed Processing with Applications, IEEE, 2009.
 P.Varalakshmi, Aravindh Ramaswamy, Aswath Balasubramaniyan and Palanippan VijayaKumar, ”An Optimal Workflow Based Scheduling and Resource allocation in Cloud”
 Saeed Parsa and Reza Entezari-Maleki, “RASA: A New Task Scheduling Algorithm in Grid Environment”, ISSN 1818.4952
 Haluk Topcuoglu, Salim Hariri, Min-You Wu,“Task Scheduling Algorithms for Heterogeneous Processors”
Cloud Computing, QoS, SaaS, PaaS, IaaS, PSO, Cloud Scheduling.