WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems

Author(s):  
Bing Tang ◽  
Gilles Fedak
Keyword(s):  
Author(s):  
Saswati Sarkar ◽  
Anirban Kundu ◽  
Ayan Banerjee

Cloud-based reliable and protected data storage technique is proposed in this chapter. The proposed technique encrypts and protects data with less time consumption. Power consumption of storage is dependent upon capacity of storage and physical size of storage. Time analysis is presented graphically in this chapter. Reliable data storage is represented in cloud based proposed approach. Data is encrypted with minimum time complexity due to usage of proposed cloud-based reliable data storage. The competent ratio of time complexity is graphically observed in proposed data storage technique. Power consumption of storage has been typically dependent on the basis of capacity of storage and amount of storage. A ratio of power consumption and capacity of storage is presented in cloud-based approach. An efficient usage of energy is shown depending on current consumption and voltage in proposed reliable approach.


2016 ◽  
Vol 685 ◽  
pp. 805-810 ◽  
Author(s):  
P.A. Rahman ◽  
E.A. Muraveva ◽  
M.I. Sharipov

This paper deals with data storage systems based on fault-tolerant dual-disk RAID-1, which are widely used as high-reliable data storage systems and have acceptable overhead expenses in hardware implementation. Advanced reliability model of dual-disk RAID-1 array based on Markov chains, which takes into consideration finite time of disk replacement after disk failure, different disk failure rate in array’s normal and rebuild states, and probability of read errors during array rebuild procedure, are also overviewed in this paper. Mathematical solution of reliability model, calculation formula for mean time to data loss, estimation of disk and array reliability parameters and MTTDL calculation example are also provided.


Author(s):  
Andrei Tchernykh ◽  
Mikhail Babenko ◽  
Vanessa Miranda-Lopez ◽  
Alexander Yu. Drozdov ◽  
Arutyun Avetisyan

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