A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems

Wang, Xiaokang; Yang, Laurence T.; Chen, Xingyu; Wang, Lizhe; Ranjan, Rajiv; Chen, Xiaodao; Deen, M. Jamal

doi:10.1109/tbdata.2018.2824303

Cited by 49 publications

(16 citation statements)

References 24 publications

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“…It's clear that the checking does not need to know in advance the value of blocks m 1 and m 2 . Based on the properties of bilinear maps, the proof of (2) is described by (3).…”

Section: Security Analysismentioning

confidence: 99%

“…Cyber-Physical-Social Systems (CPSS) [1] integrate the cyber, physical and social spaces together to provide users with a convenient and intelligent environment [2], [3]. The CPSS allow a large number of social users to have more interaction than before by data sharing and exchanging, which results in the explosive growth of the data generated and collected from social and physical spaces [4].…”

Section: Introductionmentioning

confidence: 99%

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A Data Storage and Sharing Scheme for Cyber-Physical-Social Systems

Huang

Zhang

2020

IEEE Access

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Cyber-Physical-Social System (CPSS) provides users secure and high-quality mobile service applications to share and exchange data in the cyberspace and physical world. With the explosive growth of data, it is necessary to introduce cloud storage service, which allows devices frequently resort to the cloud for data storage and sharing, into CPSS. In this paper, we propose a data storage and sharing scheme for CPSS with the help of cloud storage service. Since data integrity assurance is an inevitable problem in cloud storage, we first design a secure and efficient data storage scheme based on the technology of public auditing and bilinear map, which also ensures the security of the verification. In order to meet the real-time and reliability requirements of the CPSS, the rewards of timeliness incentive and effectiveness incentive are considered in the scheme. Secondly, based on the proposed storage scheme and ElGamal encryption, we propose a lightweight access model for users to access the final data processed by cloud server. We formally prove the security of the proposed scheme, and conduct performance evaluation to validate its high efficiency. The experimental results show that the proposed scheme has lower overheads in communication and access as compared to the technique CDS. INDEX TERMS Data sharing, integrity checking, access control, cyber-physical-social systems, cloud computing.

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“…It's clear that the checking does not need to know in advance the value of blocks m 1 and m 2 . Based on the properties of bilinear maps, the proof of (2) is described by (3).…”

Section: Security Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Data Storage and Sharing Scheme for Cyber-Physical-Social Systems

Huang

Zhang

2020

IEEE Access

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“…large volume, the edge data representation cannot be satisfied by the traditional two-dimensional data model. The tensor was adopted as an extension of the matrix in high-order space for multidimensional information representation of cyberphysical-social systems (CPSS), which has been introduced by many studies [7]- [10]. Specifically, tensor-based data representation models for heterogeneous IoT edge data composed of structured, semistructured and unstructured data have been extensively studied in recent years [11]- [14].…”

Section: Introductionmentioning

confidence: 99%

An Aggregative High-Order Singular Value Decomposition Method in Edge Computing

Chen

Wang

et al. 2020

IEEE Access

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In edge computing, for dimensionality reduction and core data extraction, both edge computing node (ECN) and cloud server may implement a high-order singular value decomposition (HOSVD) algorithm before data are passed to local computing models. However, at present, many edge computing systems regard the two HOSVD procedures as two independent parts, which leads to repeated calculations in the cloud. In this paper, we propose an aggregative HOSVD method by reusing intermediate results of subtensor HOSVD in ECNs to reduce the HOSVD computing cost of the merged tensor in the cloud server. First, two equivalence lemmas of singular value decomposition (SVD) are proven. Second, the SVD left mergence algorithm (SVDLM), hierarchical-SVDLM (H-SVDLM) algorithm and aggregative HOSVD (AHOSVD) algorithm are proposed to obtain the HOSVD result of the merged tensor by efficiently merging the unfolded matrix SVD results of the subtensors. Finally, the efficiency and accuracy between the HOSVD and the AHOSVD are compared, and the experimental results validate that the proposed AHOSVD algorithm improves efficiency compared with the HOSVD algorithm in circumstances with comparable accuracy results with the HOSVD algorithm. INDEX TERMS Tensor, high-order singular value decomposition, edge computing, Internet of Things.

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“…With the development of computer network, cloud computing, as well as wireless sensor network, mobile devices (MDs) have become an indispensable part of people's daily lives [1][2][3][4][5][6][7]. In addition, the development of cyberphysical-social systems and big data has further affected people's life [8][9][10][11][12][13][14]. However, compared to a traditional device such as personal computer, a MD has certain limitations in computing power, storage capacity, especially for the battery capacity.…”

Section: Introductionmentioning

confidence: 99%

An energy- and cost-aware computation offloading method for workflow applications in mobile edge computing

Peng

Zhu

Zhang

et al. 2019

J Wireless Com Network

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Mobile edge computing is becoming a promising computing architecture to overcome the resource limitation of mobile devices and bandwidth bottleneck of the core networks in mobile cloud computing. Although offloading applications to the cloud can extend the performance for the mobile devices, it may also lead to greater processing latency. Usually, the mobile users have to pay for the cloudlet resource or cloud resource they used. In this paper, we bring a thorough study on the energy consumption, time consumption, and cost of using the resource of cloudlet and cloud for workflow applications in mobile edge computing. Based on theoretical analysis, a multi-objective optimization model is established. In addition, a corresponding multi-objective computation offloading method based on non-dominated sorting genetic algorithm II is proposed to find the optimal offloading strategy for all the workflow applications. Finally, extensive experimental evaluations are performed to show that our proposed method is effective and energy-and cost-aware for workflow applications in MEC.

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A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems

Cited by 49 publications

References 24 publications

A Data Storage and Sharing Scheme for Cyber-Physical-Social Systems

A Data Storage and Sharing Scheme for Cyber-Physical-Social Systems

An Aggregative High-Order Singular Value Decomposition Method in Edge Computing

An energy- and cost-aware computation offloading method for workflow applications in mobile edge computing

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