2016IJITR International Journal of Innovative Technology and Research - IJITR International Journal of Innovative Technology and ResearchOpen access

FAULT TOLERANCE IN CLOUD STORAGE

S.Nithya Roopa, G. Shanmathi, J.H. Suryeprakash

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Abstract

- Fault tolerance in cloud storage is to enhance data storage security during disaster. so that IaaS (Infrastructure as a Service) in NC Cloud methodology will be implemented here. NC Cloud computation power and storage capacity of cloud computing systems that allow scientists to deploy computation and data intensive applications without infrastructure investment, where big data application sets can be stored in the cloud. In pay-as-you-go model, storage strategies and benchmarking approaches have been mainly developed for cost-effectively storing large volume of generated application data sets in the cloud. However, they are either insufficiently cost-effective for the storage or impractical to be used at runtime. In this paper, toward NC Cloud achieving the minimum cost benchmark, we say highly cost-effective and practical storage strategy that can automatically decide whether a generated data set should be stored or not at the runtime in the cloud. The main aim of this strategy is the local-optimization for the tradeoff between computation and storage, while secondarily also taking users preferences on storage into consideration. At present,the remote monitoring system is growing very high due to the growth of supporting technologies and also in NC Cloud. The problem that may occur in remote monitoring such as the objects to be monitored and how quick how much amount of data to be transmitted to the data centre to be processed properly. This study proposes using a cloud computing infrastructure as processing centre in the remote sensing data. It focuses on the situation for sensing on the environment condition and disaster early detection. Where it has two important issue, especially in big cities that have many residents. This proposes to build the conceptual and also aprototype model in a extensive manner from the remote terminal unit until development method for data retrieval. We propose using FTR-HTTP method to guarantee the delivery of the data from remote client to server.When the destruction occur the database architecture will transfer the database to the concern location assigned from the admin. So that data base can be saving exactly with the last fine transaction. Here data loss will not occur at any cost. This method is based on IP conflict procedure. So that roll backing process can also be possible. Using the same procedure of IP conflict method and this method will shows the data upto last minute transaction.

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- Fault tolerance in cloud storage is to enhance data storage security during disaster. so that IaaS (Infrastructure as a Service) in NC Cloud methodology will be implemented here. NC Cloud computation power and storage capacity of cloud computing systems that allow scientists to deploy computation and data intensive applications without infrastructure investment, where big data application sets can be stored in the cloud. In pay-as-you-go model, storage strategies and benchmarking approaches have been mainly developed for cost-effectively storing large volume of generated application data sets in the cloud. However, they are either insufficiently cost-effective for the storage or impractical to be used at runtime. In this paper, toward NC Cloud achieving the minimum cost benchmark, we say highly cost-effective and practical storage strategy that can automatically decide whether a generated data set should be stored or not at the runtime in the cloud. The main aim of this strategy is the local-optimization for the tradeoff between computation and storage, while secondarily also taking users preferences on storage into consideration. At present,the remote monitoring system is growing very high due to the growth of supporting technologies and also in NC Cloud. The problem that may occur in remote monitoring such as the objects to be monitored and how quick how much amount of data to be transmitted to the data centre to be processed properly. This study proposes using a cloud computing infrastructure as processing centre in the remote sensing data. It focuses on the situation for sensing on the environment condition and disaster early detection. Where it has two important issue, especially in big cities that have many residents. This proposes to build the conceptual and also aprototype model in a extensive manner from the remote terminal unit until development method for data retrieval. We propose using FTR-HTTP method to guarantee the delivery of the data from remote client to server.When the destruction occur the database architecture will transfer the database to the concern location assigned from the admin. So that data base can be saving exactly with the last fine transaction. Here data loss will not occur at any cost. This method is based on IP conflict procedure. So that roll backing process can also be possible. Using the same procedure of IP conflict method and this method will shows the data upto last minute transaction.

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Available abstract

- Fault tolerance in cloud storage is to enhance data storage security during disaster. so that IaaS (Infrastructure as a Service) in NC Cloud methodology will be implemented here. NC Cloud computation power and storage capacity of cloud computing systems that allow scientists to deploy computation and data intensive applications without infrastructure investment, where big data application sets can be stored in the cloud. In pay-as-you-go model, storage strategies and benchmarking approaches have been mainly developed for cost-effectively storing large volume of generated application data sets in the cloud. However, they are either insufficiently cost-effective for the storage or impractical to be used at runtime. In this paper, toward NC Cloud achieving the minimum cost benchmark, we say highly cost-effective and practical storage strategy that can automatically decide whether a generated data set should be stored or not at the runtime in the cloud. The main aim of this strategy is the local-optimization for the tradeoff between computation and storage, while secondarily also taking users preferences on storage into consideration. At present,the remote monitoring system is growing very high due to the growth of supporting technologies and also in NC Cloud. The problem that may occur in remote monitoring such as the objects to be monitored and how quick how much amount of data to be transmitted to the data centre to be processed properly. This study proposes using a cloud computing infrastructure as processing centre in the remote sensing data. It focuses on the situation for sensing on the environment condition and disaster early detection. Where it has two important issue, especially in big cities that have many residents. This proposes to build the conceptual and also aprototype model in a extensive manner from the remote terminal unit until development method for data retrieval. We propose using FTR-HTTP method to guarantee the delivery of the data from remote client to server.When the destruction occur the database architecture will transfer the database to the concern location assigned from the admin. So that data base can be saving exactly with the last fine transaction. Here data loss will not occur at any cost. This method is based on IP conflict procedure. So that roll backing process can also be possible. Using the same procedure of IP conflict method and this method will shows the data upto last minute transaction.

Key concepts: Cloud computing, Computer science, Distributed computing, Cloud storage, Computer data storage, Benchmark (surveying), Benchmarking, Fault tolerance

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