Special Issue on Fog and Cloud Computing for Cooperative Information System Management: Challenges and Opportunities

Gaaloul, Walid; Zhou, Zhangbing; Panetto, Hervé; Zhang, Liang

doi:10.1016/j.future.2020.02.060

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Our extensive literature exercise revealed that most of the existing approaches deal mainly with the decision-making of traditional BPs, such as [7][8][9][10][11][12][13]. Some recent works have addressed the decision-making of the BPs that embedded only the IoT technology (e.g., [14][15][16]).…”

Section: Introductionmentioning

confidence: 99%

Decision-Making Approach for an IoRT-Aware Business Process Outsourcing

Fattouch

Lahmar

Rekik

et al. 2022

Digital

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In the context of Industry 4.0, IoRT-aware BPs represent an attractive paradigm that aims to automate the classic business process (BP) using the internet of robotics things (IoRT). Nonetheless, the execution of these processes within the enterprises may be costly due to the consumed resources, recruitment cost, etc. To bridge these gaps, the business process outsourcing (BPO) strategy can be applied to outsource partially or totally a process to external service suppliers. Despite the various advantages of BPO, it is not a trivial task for enterprises to determine which part of the process should be outsourced and which environment would be selected to deploy it. This paper deals with the decision-making outsourcing of an IoRT-aware BP to the fog and/or cloud environments. The fog environment includes devices at the edge of the network which will ensure the latency requirements of some latency-sensitive applications. However, relying on cloud, the availability and computational requirements of applications can be met. Toward these objectives, we realized an in-depth analysis of the enterprise requirements, where we identified a set of relevant criteria that may impact the outsourcing decision. Then, we applied the method based on the removal effects of criteria (MEREC) to automatically generate the weights of the identified criteria. Using these weights, we performed the selection of the suitable execution environment by using the ELECTRE IS method. As an approach evaluation, we sought help from an expert to estimate the precision, recall, and F-score of our approach. The obtained results show that our approach is the most similar to the expert result, and it has acceptable values.

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Section: Introductionmentioning

confidence: 99%

Decision-Making Approach for an IoRT-Aware Business Process Outsourcing

Fattouch

Lahmar

Rekik

et al. 2022

Digital

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“…While protecting student check-in information, Gaaloul et al considered how to verify the correctness of the server's aggregated data and proposed a verifiable deep learning check-in information protection framework (VerifyNet) based on the analysis and solution of the above-mentioned problems. On the other hand, how to improve its communication efficiency and reduce communication overhead has gradually become an important issue of current research [2]. de Bruin and Floridi proposed that the mobile terminal verifies the current parameter update according to the feedback information of the central server, so as to decide whether to upload its update amount to the server [3].…”

Section: Introductionmentioning

confidence: 99%

Daily Information Management System for Postgraduates to Check In and Out of the Dormitory Based on Mobile Edge Computing

Wen

Fang

2021

Mobile Information Systems

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In recent years, the enrollment scale of graduate students has been increasing, and tutor resources are relatively scarce. Tutors often need to bring in dozens or even dozens of students, which puts a heavy burden on the tutor’s work. In order to reduce the work pressure of tutors and to manage graduate students in a scientific and standardized manner, this paper has designed a daily information management system for graduate students entering and exiting the dormitory to check in and out, which realizes the management of student attendance, work, and training and is carried out to improve the quality of graduate education. In this paper, based on the actual situation of the student dormitory, we comprehensively analyze user needs, management modes, existing resources, etc. and propose a Web application system divided into fingerprint access control, attendance data manipulation, and B/S architecture. Using design and development ideas for four functional modules on the client and management side and MATLAB simulation, we compare a three-tier and two-tier processing architecture under an average resource allocation scheme in terms of model utility, model power consumption, task delay constraints, and differences in the number of users. The experiment proves that, through the test of LoadRunner software, the experimental result is the average value of multiple tests. After the analysis of the performance test result, the peak number of concurrent users of this system is 1500. The daily information management model designed in this paper for graduate students to enter and exit the dormitory shows that it is stable, easy to operate, and interface-friendly and provides preset functions. It offers a new way for graduate students to manage their daily lives and has high practical value.

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Research and Development of Learning Early Warning System Based on Artificial Intelligence Technology

2021

Lecture Notes on Data Engineering and Communications Technologies

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Special Issue on Fog and Cloud Computing for Cooperative Information System Management: Challenges and Opportunities

Cited by 5 publications

References 10 publications

Decision-Making Approach for an IoRT-Aware Business Process Outsourcing

Decision-Making Approach for an IoRT-Aware Business Process Outsourcing

Daily Information Management System for Postgraduates to Check In and Out of the Dormitory Based on Mobile Edge Computing

Research and Development of Learning Early Warning System Based on Artificial Intelligence Technology

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