Mass data storage system for campus network based on cloud computing

In the context of the wide application of cloud computing technology, Internet crimes with the support of such technology will increase. In this article, the author proposed a holistic set of digital forensics method applicable in could computing environment from the point of the four stages of digital evidence collection, preservation, analysis and presentation. In evidence collection session, original resource of electric data collection was discussed. In evidence preservation session, electronic data storage system on Hadoop was designed. In evidence analysis session, two types of crime data were analyzed. In evidence presentation session, what the result should be shown were explained.

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Efficient and secure big data storage system with leakage resilience in cloud computing

Soft Computing ◽

10.1007/s00500-018-3435-z ◽

2018 ◽

Vol 22 (23) ◽

pp. 7763-7772 ◽

Cited By ~ 14

Author(s):

Yinghui Zhang ◽

Menglei Yang ◽

Dong Zheng ◽

Pengzhen Lang ◽

Axin Wu ◽

...

Keyword(s):

Cloud Computing ◽

Big Data ◽

Data Storage ◽

Storage System ◽

Leakage Resilience ◽

Data Storage System ◽

Big Data Storage

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Performance Analysis of Load Balancing Algorithms using Microsoft Windows Azure Cloud Platform

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i8458.0881019 ◽

2019 ◽

Vol 8 (10) ◽

pp. 419-428

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Data Storage ◽

Storage System ◽

Research Work ◽

Work Load ◽

Operation System ◽

Related Data ◽

Data Storage System ◽

Time Systems

As we are living in technology dominating era, the role of cloud computing as one of the rapidly emerging technologies is highly indispensable. This cloud computing holds load distribution concept, which is usually addressed as a challenging phenomenon, to handle multiple requests which are coming from geographically differentiated locations. There are various load balancing mechanisms exits for the effective distribution of the work load. This load balancing mechanism takes the advent of the virtualization approach on resources to optimize the utilization of the resources. In virtualization, the creation of virtual machine and mapping the same to the suitable request makes the cloud computing a prominent technology. This paper work considers various load balancing mechanisms for the allocation of resources and also shows a comparative study on them with the help of an example scenario. These load balancing algorithms are applied on applications like real-time systems and prioritized medical field related data storage system. This research work is implemented in Windows Azure Platform as Cloud Operation System under load balancing component.

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