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

The lightning increase in demand of computational power consumed by modern applications has made us to shift for Cloud Computing Model which has led to establish very largescaled virtualized Data Centers. Such Data Centers consumes huge amount of electrical power which results to high Operating cost and Carbon-di-oxide emission.The servers in Data Centers consume/waste a substantial amount of energy/power. Since servers are deployed and configured for peak capacity, performance, usually at the expense of efficiency. Such waste increases the capital and operational expenditure which can result in power and space being exhausted, which creates a situation where the organization may grow in data centers.Consolidating and Virtualizing servers can increase overall utilization of resources from 10% to 30%. The rapid reduction in capital and expenditure can motivate many organizations to virtualize the servers.

VIT Unitversity

Computer Science

School of Computer Science and Engineering

Chennai Campus

International Journal of Engineering and Advanced Technology Regular Issue

Energy-Efficient Consolidation of Virtual Machines in Cloud Data Centers

Cloud computing is a platform to share the data and resources used among various organizations, but the survey shows that there is always a security threat. Security is an important aspect of cloud computing. Hence, the responsibility underlines to the cloud service providers for providing security as the quality of service. However, cloud computing has many challenges in security that have not yet been addressed well. The data accessed or shared through any devices from the cloud environment are not safe because they are likely to have various attacks like Identity Access Management (IAM), hijacking an account or a service either by internal/external intruders. The cryptography places a major role to secure the data within the cloud environment. Therefore, there is a need for standard encryption/decryption mechanism to protect the data stored in the cloud, in which key is the mandatory element. Every cloud provider has its own security mechanisms to protect the key. The client cannot trust the service provider completely in spite of the fact that, at any instant, the provider has full access to both data and key. In this paper, we have proposed a new system which can prevent the exposure of the key as well as a framework for sharing a file that will ensure security (CIA) using asymmetric key and distributing it within the cloud environment using a trusted third party. We have compared RSA with ElGamal and Paillier in our proposed framework and found RSA gives a better result.

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Fulltext

Journal of Computer Networks and Communications

An Efficient Framework for Sharing a File in a Secure Manner Using Asymmetric Key Distribution Management in Cloud Environment

In many associations, the cloud storages contain a copy (duplicates) of information. For example, the same file would be spared in various locations by different users; too many documents that are not differentiable may in any case duplication a great part of the same data. This consumes lots of memory in cloud storage. Deduplication is a kind of technique used to eliminate duplicate entries on cloud storage. It helps us to remove the duplicate entries of these additional duplicates, by maintaining only one duplicate of the information and giving ownership rights to the alternate duplicates with pointers that lead back to the first duplicate. Organizations much of the time utilizes this technique in cloud storage for many applications, yet it can be effectively utilized to free up space in vital situations also. To allow an end-user to have the ownership of the file if the file is already existing and should terminate the uploading process to the cloud storage server

International Journal for Research in Applied Science and Engineering Technology

Data Compression Technique for Cloud Storage in Multi-User Environments

Asian Journal of Pharmaceutical and Clinical Research

DATA COMPRESSION TECHNIQUE FOR CLOUD STORAGE IN MULTI-USER ENVIRONMENTS

Cloud computing is the hottest topic in today’s world and is being used by most of the information technology companies due to its benefits incost saving and ease of use. It is a dynamic, scalable, and pay-per-use distributed computing model. The cloud computing is aims to give accessto remote and geographically distributed resources. Scheduling the job from one data center to other data center or from one region of cloud toother region is truly a testing in cloud environment. However, when data are shifted from one data center to other data center, huge amount ofcarbon dioxide (CO2) gases emits and also consumes more power. Since energy is an important issue, that is, why green cloud computing comesinto the picture. Green cloud computing can be obtained by applying various techniques and algorithms, which use less power and emits lessCO2 gas, that is, damaging the environment. Cloud provides many facilities to its tenants such as sharing of resources for different purposes. Incloud domain, job scheduling is one of the biggest and hypothetical problems. Numerous investigations for scheduling a job and efforts carriedout in this regard because it is one of the main jobs to get the most profit. Scheduling can decrease the power consumption. So many algorithmshad been proposed for this purpose, and a lot more had to be done. In the paper, intends to present a variety of energy-efficient job schedulingalgorithms along with performance comparison analysis of various preexisting algorithms for scheduling jobs to provide energy efficiency ingreen cloud computing.

A REVIEW ON ENERGY EFFICIENT JOB SCHEDULING ALGORITHMS IN GREEN CLOUD COMPUTING

Establishing mutual trust between a cloud service provider (CSP) and a client has always been a challenge. Managing the key as a whole on either of these sites poses a security risk and also questions the integrity and availability of the data itself. In this paper, we propose an effective solution to manage key at the client’s location, while the CSP still manages a portion of the key. The proposed technique secures the key itself and also provides a fail-safe mechanism to retrieve the key if lost.

SECURE AND RECOVERABLE SPLIT KEY MANAGEMENT TECHNIQUE FOR CLOUD STORAGE

Procedia Computer Science

Survey on the Key Management for Securing the Cloud

An Extended Trust Management Scheme for Location Based Real-time Service Composition in Secure Cloud Computing

A socially responsible internet is the need of the hour considering its huge potential and role in educating and transforming the society. Social computing is emerging as an important area as far as development of next generation web is concerned. With the proliferation of social networking applications, vast amount of data is available on cloud, which may be analyzed to gain useful insight into behavioral and linguistic patterns of different cultural and socio-economic groups further classified on the basis of gender and age etc. The idea is to come up with an appropriate framework for socially responsible software artifacts. These artifacts will monitor online social network data and analyze it from the perspective of socially responsible behavior based on ontological engineering concepts. Identification of socially responsible agents is such an example, though based on a different approach. More examples may be taken from literature dealing with microblog analytics, social semantic web, upper ontology for social web, and social-network-sourced big data analytics. In the present work, it is proposed to focus on analysis/monitoring of socially responsible behavior of social media big data and develop an upper level ontology as the framework/tool for such an analytics. © 2015 The Authors. Published by Elsevier B.V.