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Project Zone > Software > Cloud Computing

Distributed, Concurrent, and IndependentAccess to Encrypted Cloud Databases

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC22


Project Desc : We propose a novel architecture that integrates cloud database services with data confidentiality and the possibility of executing concurrent operations on encrypted data. This is the first solution supporting distributed clients to connect directly to an encrypted cloud database, and to execute parallel and independent operations including those modifying the database value.

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Proactive Workload Management in Hybrid Cloud Computing

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC23


Project Desc : As the core of this hybrid cloud computing model, an intelligent workload factoring service is designed for proactive workload management. It enables federation between on- and off-premise infrastructures for hosting Internet-based applications, and the intelligence lies in the explicit segregation of base workload and flash crowd workloa.

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Privacy-Preserving Multi-Keyword RankedSearch over Encrypted Cloud Data

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC24


Project Desc : This paper large number of data users and documents in cloud, it is crucial for the search service to allow multi-keyword query and provide result similarity ranking to meet the effective data retrieval need.

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A Scalable Two - Phase Top - Down Specialization Approach for Data Anonymization Using Map Reduce on Cloud

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC25


Project Desc : Cloud computing provides massive computation power and storage capacity via utilizing a large number of commodity computers together, enabling users to deploy applications cost-effectively without heavy infrastructure investment.

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Lifelong Personal Health Data and ApplicationSoftware via Virtual Machines in the Cloud

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC26


Project Desc : Personal Health Records (PHRs) is based on cloud virtual machine in web oriented application in which the lifelong health data of patients, who should be able to show them conveniently and securely to selected disables in a institution.

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Resource Availability Characteristics and Node Selection in Cooperatively Shared Computing Platforms

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC27


Project Desc : To developing techniques for selecting nodes for scheduling applications in large-scale, cooperatively pooled, shared computing platforms. In such platforms, resources at a node are allocated to competing users on fair-share basis, without any reserved resource capacities for any user.

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A Scalable and Reliable Matching Service for Content - Based Publish/Subscribe Systems

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC01


Project Desc : In this paper we study about how to distribute large-scale live content to interested users in a scalable and reliable manner. How to distribute large-scale live content to interested users in a scalable and reliable manner.

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Exploiting Rate less Codes in Cloud Storage Systems

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC02


Project Desc : As a cloud computing systems refers to the demand delivery of IT resources via the internet with pay as you go pricing. A cloud offers many services to the end users such as software, infrastructure and platform go on.

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MonPaaS: An Adaptive Monitoring Platform as a Service for Cloud Computing Infrastructures and Services

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC03


Project Desc : This paper presents a novel monitoring architecture addressed to the cloud provider and the cloud consumers. This architecture offers a monitoring platform-as-a-Service to each cloud consumer that allows customizing the monitoring metrics.

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HireSome - II:Towards Privacy-Aware Cross-Cloud Service Composition for Big Data Applications

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC05


Project Desc : In this paper, the Cloud computing promises a scalable infrastructure for processing big data applications such as medical data analysis. The complexity of potential compositions of cloud services calls for new composition and aggregation methods, especially when some private clouds refuse to disclose all details of their service transaction records due to business privacy concerns in cross-cloud scenarios.

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