A Universal Storage Architecture for Big Data in Cloud Environment

Zhang, Qingchen; Chen, Zhikui; Lv, Ailing; Zhao, Liang; Liu, Fangyi; Zou, Jian

doi:10.1109/greencom-ithings-cpscom.2013.96

Cited by 22 publications

(7 citation statements)

References 14 publications

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“…New promising tools provide the chance to utilize the complete potential of the IoT paradigm by expanding current wired connections with smart wireless constructions . The propagation of mobile devices, such as smartphones and IoT gadgets, results in the recent mobile big data era . Collecting mobile big data is unsuccessful unless appropriate analytics and learning approaches are exploited for extracting significant information and hidden patterns from data .…”

Section: State‐of‐the‐art Cache Replacement Algorithmsmentioning

confidence: 99%

An intelligent database proactive cache replacement policy for mobile communication system based on genetic programming

Darwish

El-Shnawy

2018

Int J Communication

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In the mobile environment, the movement of the users, disconnected modes, many data updates, power battery consumption, limited cache size, and limited bandwidth impose significant challenges in information access. Caching is considered one of the most important concepts to deal with these challenges.There are 2 general topics related to the client cache policy: cache invalidation method keeps data in the cache up to date and cache replacement method chooses the cached element(s) that would be removed from the cache once the cache stays full. The aim of this work is to introduce a new technique for cache replacement in a mobile database that takes into consideration the impact of invalidation time for enhancing data availability in the mobile environment by using genetic programming. In this case, each client collects information for every cached item in the cache like access probability, cached document size, and validation time and uses these factors in a fitness function to determine cached items that will be removed from the cache. The experiments were carried by NS2 simulator to assess the efficiency of the proposed method, and the outcomes are judged against existing cache replacement algorithms. It is concluded that the proposed approach performs significantly better than other approaches. KEYWORDScache invalidation, cache replacement, genetic programming, mobile database | INTRODUCTIONWith the rapid changes in technology, mobile communications are the essential part of our daily life. People are using the wireless network for making phone calls, accessing the Internet to download news, the stock market, etc. Different techniques for enhancing the capability and quality of wireless environments have become a hot research area. The development of mobile information systems has met some disadvantages. Mobile machines regularly have slight storage dimension and inadequate energy. Furthermore, mobile client users in wireless environments suffer from frequent disconnections from the server, and also calling the server for information is costly. For that reason, scholars have discovered caching approaches for valuable data managing in the mobile podium. 1-3 Still, a key difficulty is how to preserve the collected items in the cache up to date with the source data at the server.

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Section: State‐of‐the‐art Cache Replacement Algorithmsmentioning

confidence: 99%

An intelligent database proactive cache replacement policy for mobile communication system based on genetic programming

Darwish

El-Shnawy

2018

Int J Communication

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“…[1][2][3][4][5][6][7][8] But the data on the cloud are not under the user's physical control; illegal users can try to get the information contained in the data by the unauthorized access. [1][2][3][4][5][6][7][8] But the data on the cloud are not under the user's physical control; illegal users can try to get the information contained in the data by the unauthorized access.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, the rapid development of cloud computing is attracting more and more users to deploy a large number of applications and data to the cloud platform. [1][2][3][4][5][6][7][8] But the data on the cloud are not under the user's physical control; illegal users can try to get the information contained in the data by the unauthorized access. This will cause the privacy disclosure of the users.…”

Section: Introductionmentioning

confidence: 99%

Multiuser access control searchable privacy‐preserving scheme in cloud storage

Cao

Wang

Dong³

et al. 2018

Int J Communication

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Searchable encryption scheme-based ciphertext-policy attribute-based encryption (CP-ABE) is a effective scheme for providing multiuser to search over the encrypted data on cloud storage environment. However, most of the existing search schemes lack the privacy protection of the data owner and have higher computation time cost. In this paper, we propose a multiuser access control searchable privacy-preserving scheme in cloud storage. First, the data owner only encrypts the data file and sets the access control list of multiuser and multiattribute for search data file. And the computing operation, which generates the attribute keys of the users ′ access control and the keyword index, is given trusted third party to perform for reducing the computation time of the data owner. Second, using CP-ABE scheme, trusted third party embeds the users' access control attributes into their attribute keys. Only when those embedded attributes satisfy the access control list, the ciphertext can be decrypted accordingly. Finally, when the user searches data file, the keyword trap door is no longer generated by the user, and it is handed to the proxy server to finish. Also, the ciphertext is predecrypted by the proxy sever before the user performs decryption. In this way, the flaw of the client's limited computation resource can be solved. Security analysis results show that this scheme has the data privacy, the privacy of the search process, and the collusion-resistance attack, and experimental results demonstrate that the proposed scheme can effectively reduce the computation time of the data owner and the users. KEYWORDS attribute-based encryption, cloud storage, multiuser, privacy preserving, searchable encryption Int J Commun Syst. 2018;31:e3548.wileyonlinelibrary.com/journal/dac

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“…Using the Cloud storage platform, NoSQL solves the deficiency of the relational databases in the mass data storage and provides a different mechanisms in the data storage and queriesy [6]. Main advantages of NoSQL are simply design, distributed storage, high expansibility, mass storage, quick queries and better usage.…”

Section: Nosqlmentioning

confidence: 99%

Construction of Cloud Storage Platform based on the MongoDB and its Application in the Oilfield Production

Yang¹,

Huang²,

Zhao³

et al. 2018

dtcse

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With the rapid development of the digital constructions in Huabei oilfield, the area that the automatic monitoring systems must cover becomes larger and larger over times. In addition, the systems built in different local region face many problems, such as the un-unified data format, decentral storage, difficult to share, and low data utilization. Based on MongoDB, a cloud storage platform is built, aiming at synchronizing all the real-time production data from the different automatic monitoring systems to the unified storage format. Then, the secondary development of unified production data on this platform can easily realize the oil/water well on-line analysis, 3D-simulation, real-time monitoring, report, etc. The built cloud platform will satisfy the demand of the integration and optimization for production engineering.

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A Universal Storage Architecture for Big Data in Cloud Environment

Cited by 22 publications

References 14 publications

An intelligent database proactive cache replacement policy for mobile communication system based on genetic programming

An intelligent database proactive cache replacement policy for mobile communication system based on genetic programming

Multiuser access control searchable privacy‐preserving scheme in cloud storage

Construction of Cloud Storage Platform based on the MongoDB and its Application in the Oilfield Production

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