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      • A Study on the Public Auditing Mechanisms for Privacy Preserving and Maintaining Data Integrity in Cloud Computing

        V.Saranya,R.G. Suresh Kumar,T. Nalini 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.6

        Cloud computing in its various forms allows users to store their information at remote location and reduce the burden at their local systems. Even though this is an advantage for users but there are also many drawbacks because of this remote storage. The main drawback which needs to be dealt with is security. Recently, security is the major concern which most of the cloud service providers are facing. The users store their information in remote location with the hope of maintaining the privacy and integrity of data. In order, to maintain the privacy and integrity of users’ data auditing has to be done by the Cloud Service Providers (CSP). CSP uses the Third Party Auditor (TPA) for performing the auditing. The TPA performs auditing on behalf of the data owner using different auditing mechanisms. Many auditing mechanisms have been introduced in literature. Each mechanism varies from one another in one or more characteristics. In this paper we have provided a study on the different auditing mechanisms required to preserve the privacy and integrity of data in cloud. We have presented the advantages and flaws in each mechanism compared to another. Many auditing mechanisms are arising in literature with the aim to maintain the integrity of users’ data and preserve the privacy. This paper remains as the basis for different auditing mechanisms that are arising in literature. With the help of auditing mechanisms the TPA can best satisfy the needs of the users.

      • A Desirable Strategy for Resource Allocation using Virtual Machine in Cloud

        B. Abinaya.,J. Suganthi,R. G. Suresh Kumar,T. Nalini 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.5

        Cloud computing is a facsimile of legalizing ubiquitous, expedient, on-demand network access to a shared pool of configurable computing resources that can be rapidly furnished and released with negligible management effort. It relies on sharing computing resources rather than having local servers or personal devices to handle applications. The resource allocation, still lack on sustaining tools that enable developers to compare different resource allocation strategies in cloud computing. In this paper we initiate the concept of “skewness” to measure the bumpy utilization of a server. By minimizing skewness, we can improve the overall utilization of servers in the face of multidimensional resource constraints. Here we use skewness metric to combine VMs with different resource characteristics suitably so that the capacities of servers are well utilized.

      • Efficient and Parallel Data Processing and Resource Allocation in the Cloud by using Nephele’s Data Processing Framework

        V.Saranya,S.Ramya,R.G. Suresh Kumar,T.Nalini 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.3

        Cloud computing is a technology in which the Cloud Service Providers (CSP) provide many virtual servers to the users to store their information in the cloud. The faults occurring on the assignment and dismission of the virtual machines, the processing cost in the allocation of resources must also be considered. The parallel processing of the information on the virtual machines must be done effectively and in an efficient manner. A variety of systems were developed to facilitate Many Task Computing (MTC). These systems aim to hide the issues of parallelism and fault tolerant and they are used in many applications. In this paper, we introduced Nephele, a data processing framework to exploit dynamic resource provisioning offered by IaaS clouds. The performance evaluation of the virtual machines has been evaluated and the allocation and de-allocation of job tasks to the specific virtual machines has also been considered. A performance comparison with the well known data processing framework hadoop has been done. Thus this paper tells about the effective and efficient manner of processing the data by parallel processing and allocating the correct resources for the desired task. It also helps to reduce the cost of resource utilization by exploiting the dynamic resource utilization.

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        Photocatalytic inactivation of Gram-positive and Gram-negative bacteria by reactive plasma processed nanocrystalline TiO2 powder

        M. Vijay,K. Ramachandran,P.V. Ananthapadmanabhan,B. Nalini,B.C. Pillai,Federica Bondioli,A. Manivannan,R.T. Narendhirakannan 한국물리학회 2013 Current Applied Physics Vol.13 No.3

        Nanocrystalline TiO2 powder is synthesized using a novel reactive plasma process in which the precursor TiH2 powder is oxidized through thermal plasma in-flight route to generate nanocrystalline TiO2 powder. The synthesized powder consists of nano-sized TiO2 particles, both anatase and rutile phases, in which anatase is the predominant phase. An additional feature of the plasma synthesized TiO2 powder is the higher surface concentration of Ti3þ state and hydroxyl group that enhance its photocatalytic activity. The photocatalytic inactivation of Gram-positive Enterococcus and Gram-negative Klebsiella bacteria is studied using the plasma synthesized TiO2 nanopowder with 365 nm ultraviolet (UV) light. The mechanism behind the photocatalytic disinfection of bacteria is discussed. The plasma synthesized TiO2 nanopowder catalyst is found effective in killing Enterococcus and Klebsiella. The results corroborated that the plasma synthesized TiO2 powder can be used for waste water treatment and water purification.

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