Proofs of Data Reliability: Verification of reliable data storage with automatic maintenance†

2020 ◽  
Author(s):  
Dimitrios Vasilopoulos ◽  
Melek Önen ◽  
Refik Molva ◽  
Kaoutar Elkhiyaoui
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

2021 ◽  
pp. 17-47
Author(s):  
Ning Li

This chapter focuses on assessing data reliability, using data provided by AUDCO (a large auditing company) from more than forty thousand audits spanning seven-years across twelve countries and thirteen industries. It highlights China, which reports very high levels of unreliable audit information, and examines the role played by a “gray” actor — the audit consulting company (ACC) — in helping suppliers “pass” audits. ACCs provide a variety of services, including falsification of audit records. The chapter then considers how ACCs “advertise” their services and how they work, through a detailed analysis of an audit consultant's work logs, as well as an assessment of why ACCs may be so successful. The analysis suggests that getting a clear picture of what is really happening in a factory requires a nuanced understanding of the nature of the data that auditors examine. It points to the need for auditors to be better trained at spotting falsified data but also to triangulate with other data and information sources (perhaps from workers). Ultimately, the results show that the lack of reliable data provided to auditors is a major reason for the decoupling we see between private regulation practices and sustainable improvements in working conditions in global supply chains across multiple industries and countries.


2014 ◽  
Vol 496-500 ◽  
pp. 1905-1908
Author(s):  
Hong Xia Mao

Cloud storage has so many advantages that it has been an ideal way to store data. So, the technical questions of security and reliability should be researched. Access control and encryption are used for security of data storage. Redundancy technology which can improve the data reliability in cloud storage includes replication technology and erasure code. Under the specific experimental environment, the erasure code has an absolute advantage in fault tolerance and storage capacity.


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