Secret-Key-Generation for Mosaic Image

Venkatesan, K.G.S.; Priya, D. Jeya

doi:10.15373/2249555x/june2013/56

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…If Associate in Nursing OTM has with success non heritable a lease, then the data manager ensures that the OTM has exclusive access to the partition, and thus the OTM can execute transactions on the partition while not the necessity for distributed synchronization. This mechanism of distributed lease maintenance is analogous to it supported by Chubby [5] and employed in Bigtable [32].…”

Section: Owning Dealing Managersmentioning

confidence: 91%

Associate Adaptable Transactional Information Store in the Cloud Using Distributed Storage and Meta Data Manager

Venkatesan¹

2015

IJIRCCE

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ABSTRACT:Over the last few years, "Cloud Computing" or "Elastic Computing" has emerged as a compelling and successful paradigm for net scale computing. One of the key causative factors to the current success is that the elasticity of resources. In spite of the snap provided by the infrastructure and therefore the scalable style of the applications, the elephant (or the underlying database), which drives most of those web-based applications, is not terribly elastic and scalable, and thus limits measurability. In this paper, we have a tendency to propose Adaptable transactional that addresses this issue of measurability and snap of the info store during a cloud computing setting to leverage from the elastic nature of the underlying infrastructure, whereas providing scalable transactional knowledge access. This paper aims at providing the planning of a system current; highlight the major style selections, analysing the various guarantees provided by the system, and distinguishing several vital challenges for the analysis community striving for computing within the cloud.

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Section: Owning Dealing Managersmentioning

confidence: 91%

Associate Adaptable Transactional Information Store in the Cloud Using Distributed Storage and Meta Data Manager

Venkatesan¹

2015

IJIRCCE

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“…Concept based methodology provides personalised question suggestions supported a personalised construct based cluster technique [31]. Existing methodology that offer identical suggestions to all or any user"s, our approach uses click through information to estimates user"s abstract preferences so provides personalised question suggestions for individual user in keeping with user"s abstract wants.…”

Section: Designmentioning

confidence: 99%

Mining User Profile Exploitation Cluster from Computer Program Logs

Venkatesan¹

2015

IJIRCCE

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Fundamental part of any personalization application is user identification, the present user identification ways ar supported users interest (i.e. positive preferences).The main focus is on computer program personalization and to develop many concept-based user identification strategies. Concept-based user identification strategies deals with each positive and negative preferences. This user profiles may be integrated into the ranking algorithmic program of a hunt engine in order that search result may be hierarchic in keeping with individual users interest. The RSCF makes a hunt of knowledge containing the item within the search results, the specified information is been clicked by the user and this clicked information is given because the input and generates the rankers because the output. The negative preference will increase the separation between the similar and dissimilar queries. This separation provides a transparent threshold for collective cluster algorithmic program and improves the general quality.

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Secret-Key-Generation for Mosaic Image

Cited by 2 publications

References 3 publications

Associate Adaptable Transactional Information Store in the Cloud Using Distributed Storage and Meta Data Manager

Associate Adaptable Transactional Information Store in the Cloud Using Distributed Storage and Meta Data Manager

Mining User Profile Exploitation Cluster from Computer Program Logs

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