scholarly journals Performance and Time Improvement of LT Codes-based Cloud Storage

2021 ◽  
Author(s):  
Nastaran Chakani ◽  
Seyed Masoud Mirrezaei ◽  
Ghosheh Abed Hodtani
Keyword(s):  
Degree Distribution ◽  
Cloud Storage ◽  
Storage System ◽  
Data Retrieval ◽  
Storage Space ◽  
Improve Performance ◽  
Lt Codes ◽  
Storage Performance ◽  
Decoding Efficiency ◽  
Cloud Storage Services

Abstract Outsourcing data on the cloud storage services has already attracted great attention due to prospect of rapid data growth and storing efficiencies for customers. The coding-based cloud storage approach can offer more reliable and faster solution with less storage space in comparison with replication-based cloud storage. LT codes as a famous member of rateless codes family can improve performance of storage systems utilizing good degree distributions. Since degree distribution plays key role in LT codes performance, recently introduced Poisson Robust Soliton Distribution (PRSD) and Combined Poisson Robust Soliton Distribution (CPRSD) motivate us to investigate LT codes-based cloud storage system. So, we exploit LT codes with new degree distributions in order to provide lower average degree and higher decoding efficiency, specifically when receiving fewer encoding symbols, comparing with popular degree distribution, Robust Soliton Distribution (RSD). In this paper, we show that proposed cloud storage outperforms traditional ones in terms of storage space and robustness encountering unavailability of encoding symbols, due to compatible properties of PRSD and CPRSD with cloud storage essence. Furthermore, modified decoding process based on required encoding symbols behavior is presented to reduce data retrieval time. Numerical results confirm improvement of cloud storage performance.

scholarly journals Improving the Efficiency of Deduplication Process by Dedicated Hash Table for each Digital Data Type in Cloud Storage System

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 01) ◽  
pp. 288-301
Author(s):  
G. Sujatha ◽  
Dr. Jeberson Retna Raj
Keyword(s):  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Hash Table ◽  
Cloud Services ◽  
Data Type ◽  
Digital Data ◽  
Storage Space ◽  
Data Deduplication ◽  
Worst Case

Data storage is one of the significant cloud services available to the cloud users. Since the magnitude of information outsourced grows extremely high, there is a need of implementing data deduplication technique in the cloud storage space for efficient utilization. The cloud storage space supports all kind of digital data like text, audio, video and image. In the hash-based deduplication system, cryptographic hash value should be calculated for all data irrespective of its type and stored in the memory for future reference. Using these hash value only, duplicate copies can be identified. The problem in this existing scenario is size of the hash table. To find a duplicate copy, all the hash values should be checked in the worst case irrespective of its data type. At the same time, all kind of digital data does not suit with same structure of hash table. In this study we proposed an approach to have multiple hash tables for different digital data. By having dedicated hash table for each digital data type will improve the searching time of duplicate data.

Based on Cloud-Technology Data Storage Security

2014 ◽  
Vol 556-562 ◽  
pp. 6179-6183
Author(s):  
Zhi Gang Chai ◽  
Ming Zhao ◽  
Xiao Yu
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Rapid Development ◽  
Storage System ◽  
Storage Space ◽  
It Industry ◽  
Storage Security ◽  
The Cost ◽  
Space Requirements

With the rapid development of information technology, the extensive use of cloud computing promotes technological change in the IT industry. The use of cloud storage industry is also one solution to the problem of an amount of data storing, which is traditionally large, and unimaginably redundant. The use of cloud computing in the storage system connects the user's data with network clients via the Internet. That is to say, it not only solves a lot of data storage space requirements in request, but also greatly reduces the cost of the storage system. But in the application of cloud storage, there are also many problems to be solved, even to some extent which has hindered the development of cloud storage. Among these issues, the most concerning one is cloud storage security. The following passages discuss the problem and propose a solution to it.

scholarly journals Machine learning-driven automatic storage space recommendation for object-based cloud storage system

2021 ◽  
Author(s):  
Anindita Sarkar Mondal ◽  
Anirban Mukhopadhyay ◽  
Samiran Chattopadhyay
Keyword(s):  
Machine Learning ◽  
Feature Selection ◽  
Big Data ◽  
Cloud Storage ◽  
Recommendation System ◽  
Storage System ◽  
Sparse Learning ◽  
Storage Space ◽  
Object Based ◽  
Selection Algorithms

AbstractAn object-based cloud storage system is a storage platform where big data is managed through the internet and data is considered as an object. A smart storage system should be able to handle the big data variety property by recommending the storage space for each data type automatically. Machine learning can help make a storage system automatic. This article proposes a classification engine framework for this purpose by utilizing a machine learning strategy. A feature selection approach wrapped with a classifier is proposed to automatically predict the proper storage space for the incoming big data. It helps build an automatic storage space recommendation system for an object-based cloud storage platform. To find out a suitable combination of feature selection algorithms and classifiers for the proposed classification engine, a comparative study of different supervised feature selection algorithms (i.e., Fisher score, F-score, Lll21) from three categories (similarity, statistical, sparse learning) associated with various classifiers (i.e., SVM, K-NN, Neural Network) is performed. We illustrate our study using RSoS system as it provides a cloud storage platform for the healthcare data as experimental big data by considering its variety property. The experiments confirm that Lll21 feature selection combined with K-NN classifier provides better performance than the others.

scholarly journals DeyPoS-homomorphism authenticated tree (HAT) for multi-user locality in cloud storage

2018 ◽  
Vol 7 (2.31) ◽  
pp. 141
Author(s):  
M Muthu Selvam ◽  
K Mariappan ◽  
G V. Sriramakrishnan ◽  
G Suseendran
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Cloud System ◽  
Storage Space ◽  
Research Article ◽  
Cloud Server ◽  
Dynamic Proofs ◽  
The Creation ◽  
Client System ◽  
The Way

The technology PoS (Dynamic Proof of storage) is a cryptographic primordial allows a abuser to test the reliability of subcontracted documents and effectively replace documents in the cloud storage system. Despite the fact that investigators have projected several dynamic proofs of storage designs in distinct client settings, hassle in the multi-client settings have now not been examined adequately. In sensible multi-client cloud server storage space wishes a cozy client part cross client system of deduplication, it permits client toward bypass importing manner as well as gain instantly the rights of the files, while different vendors of the same files hold uploaded to the cloud system server. In the direction of familiarity not a bit of prevailing dynamic Proof of Storages can guide this system. This research article  we are bring the model of dynamic proof of storage in deduplicatable system and endorse a green creation known as Dedupicatable Dynamic Proof of Storage (DeyPoS), on the way to attain DeyPoS and comfy  reduplication concurrently in cross client. Taking into account confront of formation assortment and personal blot creation make use of a new tool called HAT (Homomorphic Authenticated Tree). Also verify precautions of creation and the hypothetical, investigational outcomes shows that the creation is green in use. 

scholarly journals Encryption Technique to Optimize Information Leakage in Multi Cloud Storage Services

2019 ◽  
Vol 8 (6S) ◽  
pp. 1078-1081
Keyword(s):  
Cloud Storage ◽  
Storage System ◽  
Information Leakage ◽  
Considerable Degree ◽  
Unauthorized Access ◽  
Crucial Information ◽  
Degree Of Control ◽  
Multiple Clouds ◽  
Cloud Storage Services ◽  
Multi Cloud

Multicloud is one such aspect which is considered as the vision of the future. It includes distribution of data for the user automatically by means of cloud storage providers (CSPs) which in turn provides a considerable degree of control over information leakage. Due to the process of unplanned distribution of data chunks will result in disposing the crucial information while using multiple clouds. A storage system named Storesim is introduced in Multicloud to store syntactically relevant data on the assigned cloud, thereby limiting the intensity of leakage of information across those clouds. During this survey it has been identified that few CSP’s of some Multicloud services got compromised under coercion. In this paper, we made use of the Ultramodern Encryption Standard (UES) into storesim thereby avoiding unauthorized access to the information present in the Multicloud ensuring better level of security to CSP’s implicating reduced information leakage

Applied Research for Campus Student Credit Management System under the Cloud Storage

2014 ◽  
Vol 644-650 ◽  
pp. 2868-2871
Author(s):  
Ying Jian Kang ◽  
Lei Ma
Keyword(s):  
Management System ◽  
Cloud Storage ◽  
Applied Research ◽  
Direct Impact ◽  
Storage Space ◽  
Improve Performance ◽  
Important Indicator ◽  
Credit Management ◽  
Management Efficiency ◽  
And Storage

Campus student credit management system under cloud storage is studied to improve performance of management system. In universities, credit is an important indicator of student achievement, and a direct impact on whether students can graduate. How to manage credit of students, has become a key topic of campus management. To this end, the campus student credit management systemunder cloud storage environmentsis proposed. The relevant principles and hierarchy of cloud storage are elaborated, and storage environment of campus student credit management system is obtained. In these environments, student credit management is achieved. Experimental results show that with the improved algorithm to process campus student credit management under cloud storage, the storage space can be expanded to improve management efficiency, to meet the actual needs of the campus administration.

A Multi-Server Erasure Code Algorithm Based on the Degree of Restriction

2013 ◽  
Vol 717 ◽  
pp. 789-793
Author(s):  
Jun Wei Ge ◽  
Ai Hua Miao ◽  
Yi Qiu Fang
Keyword(s):  
System Performance ◽  
Cloud Storage ◽  
Storage System ◽  
Erasure Codes ◽  
Storage Space ◽  
High Recovery ◽  
Erasure Code ◽  
Code Algorithm ◽  
Cloud Storage Environment ◽  
Multi Server

Erasure codes received extensive attention in the cloud storage system because of its effective on saving storage space,However, due to the high recovery-overhead of erasure code, its application has been limited in these storage systems.For these problems,in this paper,we presents A multi-server Erasure code algorithm based on the degree of restriction to reduce the recovery-overhead from the restriction of date and parity's degree,and enhance the system performance to a certain extent ,ensure the reliability of the data of the cloud storage environment.

scholarly journals Survey on securing data storage in the cloud

2014 ◽  
Vol 3 ◽  
Author(s):  
Chun-Ting Huang ◽  
Lei Huang ◽  
Zhongyuan Qin ◽  
Hang Yuan ◽  
Lan Zhou ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Cloud Storage ◽  
Storage System ◽  
Security And Privacy ◽  
Storage Security ◽  
Research Activities ◽  
Security Problem ◽  
Key Issues ◽  
Cloud Storage Services

Cloud Computing has become a well-known primitive nowadays; many researchers and companies are embracing this fascinating technology with feverish haste. In the meantime, security and privacy challenges are brought forward while the number of cloud storage user increases expeditiously. In this work, we conduct an in-depth survey on recent research activities of cloud storage security in association with cloud computing. After an overview of the cloud storage system and its security problem, we focus on the key security requirement triad, i.e., data integrity, data confidentiality, and availability. For each of the three security objectives, we discuss the new unique challenges faced by the cloud storage services, summarize key issues discussed in the current literature, examine, and compare the existing and emerging approaches proposed to meet those new challenges, and point out possible extensions and futuristic research opportunities. The goal of our paper is to provide a state-of-the-art knowledge to new researchers who would like to join this exciting new field.

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