Development of the automated data management system for radiation monitoring of forests

Abstract Since the system of radiation control in forestry was formed even before the mass introduction of information technologies, data processing in radiation monitoring retains the approaches conditioned by the traditional, paper-based document management. The aim of this project is to develop a unified automated system for collection, control and analysis of data from radiation monitoring of forests in the Russian Federation. The system is based on the use of the unified software ‘SpectraLineBG’ for spectrometric devices, on the creation of a cloud data storage server, and the development of a software environment for storing and processing of the obtained material. The system allows to check the accuracy of all the obtained results of measurements and to make their subsequent correction. The described method of data collection is universal for spectrometric studies and can be used not only in forestry, but also in any organization involved in radiation control of the environment. Using the accumulated material, the system allows to analyze the distribution and the dynamics of radionuclides in space and time, to calculate the coefficients of the transition of radionuclides from soil to vegetation for one or more species in different areas.

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Enhanced Data Security from Single Clouds to Multiclouds

International Journal of Emerging Research in Management and Technology ◽

10.23956/ijermt.v6i9.87 ◽

2018 ◽

Vol 6 (9) ◽

pp. 66

Author(s):

Umesh Banodha ◽

Praveen Kumar Kataria

Keyword(s):

Data Storage ◽

Network Connectivity ◽

Data Replication ◽

Recovery Process ◽

Cloud Environment ◽

Storage Security ◽

Cloud Data ◽

Replication Strategy ◽

Cloud Data Storage ◽

Data Files

Cloud is an emerging technology that stores the necessary data and electronic form of data is produced in gigantic quantity. It is vital to maintain the efficacy of this data the need of data recovery services is highly essential. Cloud computing is anticipated as the vital foundation for the creation of IT enterprise and it is an impeccable solution to move databases and application software to big data centers where managing data and services is not completely reliable. Our focus will be on the cloud data storage security which is a vital feature when it comes to giving quality service. It should also be noted that cloud environment comprises of extremely dynamic and heterogeneous environment and because of high scale physical data and resources, the failure of data centre nodes is completely normal.Therefore, cloud environment needs effective adaptive management of data replication to handle the indispensable characteristic of the cloud environment. Disaster recovery using cloud resources is an attractive approach and data replication strategy which attentively helps to choose the data files for replication and the strategy proposed tells dynamically about the number of replicas and effective data nodes for replication. Thus, the objective of future algorithm is useful to help users together the information from a remote location where network connectivity is absent and secondly to recover files in case it gets deleted or wrecked because of any reason. Even, time oriented problems are getting resolved so in less time recovery process is executed.

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A Group Collaboratable Proof of Retrievability Scheme for Cloud Data Storage

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v13i7.2501 ◽

2014 ◽

Vol 13 (7) ◽

pp. 4625-4632

Author(s):

Jyh-Shyan Lin ◽

Kuo-Hsiung Liao ◽

Chao-Hsing Hsu

Keyword(s):

Cloud Computing ◽

Data Storage ◽

Cloud Service ◽

Third Party ◽

Group Collaboration ◽

Cloud Data ◽

Cloud Data Storage ◽

Important Trend ◽

Data Update ◽

Proof Of Retrievability

Cloud computing and cloud data storage have become important applications on the Internet. An important trend in cloud computing and cloud data storage is group collaboration since it is a great inducement for an entity to use a cloud service, especially for an international enterprise. In this paper we propose a cloud data storage scheme with some protocols to support group collaboration. A group of users can operate on a set of data collaboratively with dynamic data update supported. Every member of the group can access, update and verify the data independently. The verification can also be authorized to a third-party auditor for convenience.

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