Umamaheswari E

Computer Science

School of Computer Science and Engineering

Chennai Campus

Kumar K.D

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Prediction methods for effective resource provisioning in cloud computing: A survey

Multiagent and Grid Systems

The study proposes an innovative Predictive Resource Management Framework (PRMF) to overcome the drawbacks of the reactive Cloud resource management approach. Performance of PRMF was compared with that of a reactive approach by deploying a timesheet application on the Cloud. Key metrics of the simulated workload patterns were monitored and analyzed offline using information gain module present in PRMF to determine the key evaluation metric. Subsequently, the best-fit model for the key evaluation metric among Autoregressive Integrated Moving Average (ARIMA) (1 ⩽ p ⩽ 4, 0 < d < 2, 1 ⩽ q ⩽ 4), exponential smoothening (Single, Double & Triple) and Hidden Markov Model present in the PRMF library were determined. Best-fit model was used for predicting key evaluation metric. During real time, the validation module of PRMF would continuously compare the actual and predicted key evaluation metric. Best-fit model would be re-evaluated if 95% confidence level of the predicted value breaches the actual metric. For experiments performed in the current study, Request Arrival and ARIMA (2, 1, 3) were found to be the key evaluation metric and the best-fit model respectively. Proposed predictive approach performed better than the reactive approach while provisioning/deprovisioning instances during the real time experiments. © 2016 The Authors

Fulltext

Journal of King Saud University - Computer and Information Sciences

Predictive Cloud resource management framework for enterprise workloads

Cloud computing is one of the trending technologies that provide boundless virtualized resources to the internet users as an important services through the internet while providing the privacy and security. Using these cloud services, internet users get many parallel computing resources at low cost. It predicted that till 2016, revenues from the online business management spent $4 billion for data storage. Cloud is an open-source platform structure, so it is having more chances to malicious attacks. Privacy, confidentiality, and security of stored data are primary security challenges in cloud computing. In cloud computing, “virtualization” is one of the techniques dividing memory into different blocks. In most of the existing systems, there is only single authority in the system to provide the encrypted keys. To fill the few security issues, this paper proposed a novel authenticated trust security model for secure virtualization system to encrypt the files. The proposed security model achieves the following functions: (1) allotting the VM security monitor model for each virtual machine and (2) providing secret keys to encrypt and decrypt information by symmetric encryption.The contribution is a proposed architecture that provides a workable security that a cloud service provider can offer to its consumers. Detailed analysis and architecture design presented to elaborate security model.

Journal	Multiagent and Grid Systems
Publisher	IOS Press
ISSN	1574-1702
Open Access	0