A Comparitive Study of Cloud Computing Models for Academic Environment
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
Cloud computing is becoming main computing paradigm. The use of cloud computing has been increased exponentially. It has various characteristics and advantages of on-demand computing, shared infrastructure, pay-per-use model, scalability and elasticity. Cloud computing in academic environment greatly benefits the students and faculty where lot of consolidated data need to be handled. In this paper we are thoroughly analyzing the set of models which are proposed for academic environment. This paper gives insight about current trend and engineering prototype for sustainable cloud computing academic models and architectures. Our design guarantees monitory benefits for research institution and universities, in terms of optimizing time and resource utilization.
Authors and Affiliations
D. Pratiba ,Dr . G. Shobha, Vishwas C N , Bhimasen V. Purohit
Keywords
Related Articles
- EP ID EP27920
- DOI -
- Views 245
- Downloads 0
Detecting of Disconnected from Source (DOS) and Connected but a Cut Occurred Somewhere (CCOS) in Wireless Sensor Networks
A wireless sensor network can get separated into multiple connected sensors .but some nodes are failure due to mechanical, electrical problems, environmental degradation battery depletion or hostile tampering. which...
Content Accumulating and Development beyond Elastic and Inelastic Traffic in Wireless Networks
Caching and multicasting at base stations are two promising ways to deal with bolster monstrous substance conveyance over remote systems. Be that as it may, existing planning outlines don't make full utilization of t...
Implementation Of Fast rate Power Allocation Utilizing Duality gap in OFDM Systems
In this letter, we propose a power allocation strategy for orthogonal frequency division multiplexing (OFDM) systems. To achieve the maximum capacity, the proposed power allocation strategy iteratively tunes the amoun...
Multimodal Biometric Face and Fingerprint Recognition Using Adaptive principal Component Analysis and Multilayer Perception
A multimodal biometric face and fingerprint recognition using neural network system based on adaptive principal component analysis and multilayer perception.To improve accuracy and performance, Reliable method for se...
To Evaluate The Effectiveness Of The Query Quality Prediction Model Computed Using Sr Algorithm
We analyze the account of hard queries and suggest a novel framework to decide the degree of weakness for a keyword query over a database, manner in mind both the structure and the satisfied of the database and the q...