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Effective Cost Reduction for Elastic Clouds under Spot Instance Pricing Through Adaptive Check pointing

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC06


Project Desc : In this paper, the Cloud computing users are most concerned about the application circle time and the financial cost involved. For lower financial costs, less expensive services, like spot instances offered by Amazon, are often made available, although to their relatively frequent resource unavailability that leads to on-going execution being turned out, thereby undercutting execution performance.

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Enabling Cloud Storage Auditing With Key - Exposure Resistance

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC08


Project Desc : In this paper, we focus on this new aspect of cloud storage auditing. We investigate how to reduce the damage of the client key exposure in cloud storage auditing, and give the first practical solution for this new problem setting.

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Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC10


Project Desc : In this paper the study about cloud computing makes storage outsourcing become a rising trend, which promotes the secure remote data auditing and efficient public data integrity auditing for shared dynamic data.

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TEES: An Efficient Search Scheme over Encrypted Data on Mobile Cloud

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC11


Project Desc : In this paper, we propose TEES (Traffic and Energy saving Encrypted Search), a bandwidth and energy efficient encrypted search architecture over mobile cloud. Cloud storage provides a convenient, massive, and scalable storage at low cost, but data privacy is a major concern that prevents users from storing files on the cloud trustingly.

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Orchestrating Bulk Data Transfers across Geo - Distributed Datacenters

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC12


Project Desc : In this paper we study about cloud providers to host multiple datacenters around the globe, significant demands exist for inter-datacenter data transfers in large volumes, e.g., migration of big data.

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SAE: Toward Efficient Cloud Data Analysis Service for Large - Scale Social Networks

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC13


Project Desc : In this paper, the study about a general straggler-aware execution approach, SAE, to support the analysis service in the cloud. It offers a novel computational decomposition method that factors straggling feature extraction processes into more fine-grained sub-processes.

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Cloud - based Utility Service Framework for Trust Negotiations using Federated Identity Management

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC14


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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Implementing Design Diversity Using Portfolio Thinking to Dynamically and Adaptively Manage the Allocation of Web Services in the Cloud

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC15


Project Desc : In this scenario the cloud as a marketplace for trading instances of web services, which can be leased by web applications. We argue that applications can buy diversity by selecting instances of web services from multiple cloud sellers in this market.

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Cost - Effective Authentic and Anonymous Data Sharing with Forward Security

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC16


Project Desc : In this paper we study about Data sharing has never been easier with the advances of cloud computing, and a precise analysis on the shared data provides an array of benefits to both the society and individuals.

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PACK: Prediction - Based Cloud Bandwidth and Cost Reduction System

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC18


Project Desc : PACK (Predictive ACKs) is based on a novel traffic redundancy elimination technique, which allows the client to use newly received chunks to identify previously received chunk chains, which in turn can be used as reliable predictors to future transmitted chunks.

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