scholarly journals Relationship between employees’ career maturity and career planning of edge computing and cloud collaboration from the perspective of organizational behavior

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257582
Author(s):  
Rui Zhang ◽  
Yue Song
Keyword(s):  
Cloud Computing ◽  
Organizational Behavior ◽  
Career Planning ◽  
Career Maturity ◽  
Delay Of Gratification ◽  
Edge Computing ◽  
Gradient Algorithm ◽  
Communication Time ◽  
Analysis Platform ◽  
The Relationship

A new IoT (Internet of Things) analysis platform is designed based on edge computing and cloud collaboration from the perspective of organizational behavior, to fundamentally understand the relationship between enterprise career maturity and career planning, and meet the actual needs of enterprises. The performance of the proposed model is further determined according to the characteristic of the edge near data sources, with the help of factor analysis, and through the study and analysis of relevant enterprise data. The model is finally used to analyze the relationship between enterprise career maturity and career planning through simulation experiments. The research results prove that career maturity positively affects career planning, and vocational delay of gratification plays a mediating role in career maturity and career planning. Besides, the content of career choice in career maturity is influenced by mental acuity, result acuity and loyalty. The experimental results indicate that when the load at both ends of the edge and cloud exceeds 80%, the edge delay of the IoT analysis platform based on edge computing and cloud collaboration is 10s faster than that of other models. Meanwhile, the system slowdown is reduced by 36% while the stability is increased when the IoT analysis platform analyzes data. The results of the edge-cloud collaboration scheduling scheme are similar to all scheduling to the edge end, which saves 19% of the time compared with cloud computing to the cloud end. In Optical Character Recognition and Aeneas, compared with the single edge-cloud coordination mode, the model with the Nesterov Accelerated Gradient algorithm achieves the optimal performance. Specifically, the communication delay is reduced by about 25% on average, and the communication time decreased by 61% compared with cloud computing to the edge end. This work has significant reference value for analyzing the relationship between enterprise psychology, behavior, and career planning.

scholarly journals A Blockchain-Based Trusted Edge Platform in Edge Computing Environment

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2126
Author(s):  
Jinnan Zhang ◽  
Changqi Lu ◽  
Gang Cheng ◽  
Teng Guo ◽  
Jian Kang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Privacy ◽  
Heterogeneous Data ◽  
Edge Computing ◽  
Security And Privacy ◽  
Computing Environment ◽  
Security Technology ◽  
Communication Time ◽  
Computing Platforms ◽  
Multiple Network

Edge computing is a product of the evolution of IoT and the development of cloud computing technology, providing computing, storage, network, and other infrastructure close to users. Compared with the centralized deployment model of traditional cloud computing, edge computing solves the problems of extended communication time and high convergence traffic, providing better support for low latency and high bandwidth services. With the increasing amount of data generated by users and devices in IoT, security and privacy issues in the edge computing environment have become concerns. Blockchain, a security technology developed rapidly in recent years, has been adopted by many industries, such as finance and insurance. With the edge computing capability, deploying blockchain platforms/applications on edge computing platforms can provide security services for network edge environments. Although there are already solutions for integrating edge computing with blockchain in many IoT application scenarios, they slightly lack scalability, portability, and heterogeneous data processing. In this paper, we propose a trusted edge platform to integrate the edge computing framework and blockchain network for building an edge security environment. The proposed platform aims to preserve the data privacy of the edge computing client. The design based on the microservice architecture makes the platform lighter. To improve the portability of the platform, we introduce the Edgex Foundry framework and design an edge application module on the platform to improve the business capability of Edgex. Simultaneously, we designed a series of well-defined security authentication microservices. These microservices use the Hyperledger Fabric blockchain network to build a reliable security mechanism in the edge environment. Finally, we build an edge computing network using different hardware devices and deploy the trusted edge platform on multiple network nodes. The usability of the proposed platform is demonstrated by testing the round-trip time (RTT) of several important workflows. The experimental results demonstrate that the platform can meet the availability requirements in real-world usage scenarios.

scholarly journals Die verband tussen loopbaanvolwassenheid, rolbelangrikheid en akademiese prestasie: 'n Verkennende studie

1993 ◽  
Vol 19 (3) ◽  
Author(s):  
M. E. Kotze
Keyword(s):  
Decision Making ◽  
Experimental Design ◽  
Exploratory Study ◽  
Work Values ◽  
Career Planning ◽  
Career Maturity ◽  
Academically Successful ◽  
First Year ◽  
First Year Students ◽  
The Relationship

The relationship between career maturity, role importance and academic performance: an exploratory study. Academically successful and -unsuccessful students were compared with regard to their career maturity, life role importance and work values. The experimental design provided for two matched groups. The subjects were 14 pairs of first year students in a career directed degree course. Academically unsuccessful students measured significantly higher with regard to participation in, commitment to and value expectations of their role as worker. The same group of students also measured more career mature with regard to decision-making, world-of-work information and career planning. No significant differences were found for work values. More research is necessary to confirm the possible explanations for the results. Opsomming Akademies-suksesvolle en -onsuksesvolle studente is vergelyk ten opsigte van hulle loopbaanvolwassenheid, belangrikheid van lewensrolle en werkwaardes. Die eksperimentele ontwerp het voorsiening gemaak vir twee afgepaarde groepe. Die proefpersone was 14 pare eerstejaarstudente in 'n beroepsgerigte graadkursus. Akademiesonsuksesvolle studente het beduidend hoer gemeet ten opsigte van hulle deelname aan, betrokkenheid by en waardeverwagtinge van hul rol as werker. Dieselfde groep studente het ook meer loopbaanvolwasse gemeet met betrekking tot besluitneming, wereld-van-werk informasie en loopbaanbeplanning. Geen beduidende verskille is ten opsigte van werkwaardes gevind nie. Verdere navorsing om die moontlike verklarings vir die resultate te bevestig, is nodig.

Microprocessor Architecture Era for Development Cloud Computing of Ministry of Electricity and Energy of Egypt

2014 ◽  
Vol 13 (12) ◽  
pp. 5199-5209
Author(s):  
Heba A. El-Khobby ◽  
Mostafa M. AbdElnaby ◽  
Abdel-Aziz Ibrahim Mahmoud HASSANIN ◽  
Abdallah D. Maziad
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Theoretical Analysis ◽  
Organization Structure ◽  
Fixed Time ◽  
Organization Structures ◽  
Competence Evaluation ◽  
Competency Based ◽  
Services Evaluation ◽  
The Relationship

A development and evaluation the Cloud Computing (ClComp) of Ministry of Electricity and Energy of Egypt (MEEE) is presented in this paper. In order to be able to judge whether the ClComp of MEEE is competence, there is a need to develop criteria which performance can judged. Competency based standards and the ability to perform the activities within an occupation to the standard expected in the organization structure are presented. The key objective of Cloud Computing is to integrate Authorized Groups (AuthGs) development with the needs of the organization structures of MEEE. The ClComp of MEEE was developed jointly between the telecommunication information technology and ClComp services. Evaluation enables participant to distinguish between AuthGs centered view and a customer centered view of cloud computing of MEEE is competence evaluation. Recognize the main types of evaluation, explain the purpose of evaluation compare the approaches to cloud computing evaluation and review the relationship between the process and policy of evaluation are investigated. Microprocessor architecture presented an optimistic view of multicore scalability to develop the ClComp. Moreover this paper investigates the theoretical analysis of multiprocessor developing and scalability. The analysis was based on the laws of Amdahl's, Gustafson's, Hill's and Marty for fixed-workload condition. Moreover, challenged the difficulties to develop better cloud computing is taken into account. Also, multicore analysis of ClComp scalability, performance and power under fixed-time and memory-bound conditions are studied. These results complement existing studies and demonstrate that ClComp architectures are capable of extensive scalability and developing.

scholarly journals Energy Efficient SWIPT Based Mobile Edge Computing Framework for WSN-Assisted IoT

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4798
Author(s):  
Fangni Chen ◽  
Anding Wang ◽  
Yu Zhang ◽  
Zhengwei Ni ◽  
Jingyu Hua
Keyword(s):  
Energy Consumption ◽  
Transmission Rate ◽  
Edge Computing ◽  
Energy Harvest ◽  
Total System ◽  
Mobile Edge Computing ◽  
Weight Factor ◽  
Iot Devices ◽  
System Variables ◽  
The Relationship

With the increasing deployment of IoT devices and applications, a large number of devices that can sense and monitor the environment in IoT network are needed. This trend also brings great challenges, such as data explosion and energy insufficiency. This paper proposes a system that integrates mobile edge computing (MEC) technology and simultaneous wireless information and power transfer (SWIPT) technology to improve the service supply capability of WSN-assisted IoT applications. A novel optimization problem is formulated to minimize the total system energy consumption under the constraints of data transmission rate and transmitting power requirements by jointly considering power allocation, CPU frequency, offloading weight factor and energy harvest weight factor. Since the problem is non-convex, we propose a novel alternate group iteration optimization (AGIO) algorithm, which decomposes the original problem into three subproblems, and alternately optimizes each subproblem using the group interior point iterative algorithm. Numerical simulations validate that the energy consumption of our proposed design is much lower than the two benchmark algorithms. The relationship between system variables and energy consumption of the system is also discussed.

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