Measurement-driven design and runtime optimization in edge computing: Methodology and tools

Caiazza, Chiara; Cicconetti, Claudio; Luconi, Valerio; Vecchio, Alessio

doi:10.1016/j.comnet.2021.108140

Cited by 4 publications

(4 citation statements)

References 42 publications

(41 reference statements)

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“…As a new communication technology, 5G provides better performance than 4G. 5G controls the time limit of information communication (Caiazza et al, 2021). People, people, and things can be connected anytime and anywhere.…”

Section: Full-domain Edge Computingmentioning

confidence: 99%

“…However, due to mobile devices' limited battery capacity and computing power, The energy efficiency of the alternating iteration optimization algorithm for full-domain computing is shown in Figure. (2) A related expansion of Equation (2) to Equation (2) shows that the secrecy rate C > transmission rate R. Again, the probability of interruption is calculated and expressed as a p-value: _ Pr( )…”

Section: Full-domain Edge Computingmentioning

confidence: 99%

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Territorial Edge Computing Enabling Green Tourism and Green Development of CIPP Model Analytics

Bian

2023

EAI Endorsed Trans Energy Web

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INTRODUCTION: Eco-development is an essential national strategy, which has become an effective way to sustain China's tourism industry in the new era. Nowadays, the problem of climate change is becoming more and more serious, and the restriction on natural resources and the environment is becoming more and more serious. Improving the economic efficiency of the tourism industry and advancing the reform of its economic efficiency are critical priorities for the high-quality development of the tourism industry. Therefore, it is crucial for edge computing to empower green tourism and green growth. OBJECTIVES: The purpose is to enhance the development of green tourism in China and promote the sustainable development of China's tourism industry; to solve the problems of severe environmental damage and resource consumption in the development of the tourism industry; and to promote the application of information technology, such as full-area edge computing, in the development of China's tourism industry, and to realize the combination of the CIPP education concept and the concept of green tourism promotion. METHODS:Firstly, the authors find the necessity of researching the CIPP model of green tourism and green development empowered by the whole domain edge computing by using the study of literature and theory; secondly, the Author analyzes the importance of the education of the concept of green tourism and green development by using the method of analyzing the CIPP model; and lastly, the authors measure and enhance the effectiveness of green tourism and green development by using the mobile whole domain edge computing. RESULTS: The whole-domain edge computing has better stability for green tourism and green development measurement, and the use of the CIPP model can better deepen tourists' tourism concepts of green tourism and green development and promote green tourism development. CONCLUSION: The level of innovation in China's tourism industry is improving, and multivariate analysis shows that innovation is the key force driving industrial change and quality development. Therefore, it is essential to continue supporting an innovative and technology-driven tourism industry and continuously improving its innovative technologies and content. Greater emphasis will be placed on training and improving the quality of tourism staff. Tourism talent is the basis for innovation in tourism management and services and a critical factor in the development of an innovative system for tourism.

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Section: Full-domain Edge Computingmentioning

confidence: 99%

Section: Full-domain Edge Computingmentioning

confidence: 99%

Territorial Edge Computing Enabling Green Tourism and Green Development of CIPP Model Analytics

Bian

2023

EAI Endorsed Trans Energy Web

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“…The link availability was predicted by [27] in Mobile Ad hoc Network (MANET) considering the capacity optimization. A new topological system called as MECPerf enabling online collection of network measurements was proposed in [28]. The proposed architecture is useful on edge computing domain for online network optimization to increase system performance.…”

Section: Introductionmentioning

confidence: 99%

Capacity Optimization in Dynamically Routing Computer Network Systems

Uncu

Erol

2022

Teh. glas. (Online)

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A computer network system is a complex system with a great number of dynamic components. There are many devices in the system, such as computers, routers, lines, hubs, and switches. In addition to these hardware systems, many protocols are integrated to set the rules and provide the way of communication. Due to the nature of the system, it is hard to formulate and solve problems analytically without making any assumptions. One of the prominent problems that occur in computer systems is the line capacity assignment problem. In the previous mathematical models, message routes were predetermined and the dynamic nature of the system was neglected. This study deals with the line capacity assignment problem under a dynamically routing policy. Four different computer network topologies are used and solved by two heuristic algorithms via simulation. A dynamic search approach based on the occupancy rate of lines is used to define the consecutive routes of messages. The performances of harmony search and genetic algorithms via simulation are compared with the results of OptQuest, one of the optimization packet programs embedded in simulation software Arena®.

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“…Resource allocation and management are key aspects of the optimization methods. Edge computing's distribution is derived from this computation (Caiazza et al, 2021) for the various services. A service can be directed to the right person in the network using information management.…”

mentioning

confidence: 99%

A convex problem optimization solution for information management in edge computing platforms

Saad

Al-Makhadmeh

2022

Expert Systems

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Intelligent computing and social optimization techniques have been used to manage mobile edge (ME) environments for pervasive services. However, the service demand is the prime cause for requiring flawless information management. This article proposes a coherent information management (CIM) process for resolving the convex optimization problems by considering the flaws in raw information management. The information management problem for pervasiveness is defined as a nonlinear problem for user-to-information availability. According to the CIM, pervasive convergence is identified for the available information. Furthermore, convolutional neural learning identifies unavailable or utilized information between the service provider and the end-user layers. This identification improves the training rate for convergence improvement and information coherency. Therefore, the nonlinear pervasiveness is distributed between different service providers, improving efficiency. Therefore, the proposed optimization method achieves a 7.4% high admittance ratio, 8.28% high utilization, 25.25% less allocation time, and 24.4% less waiting time for different availability ratios for different information availability ratios.

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Measurement-driven design and runtime optimization in edge computing: Methodology and tools

Cited by 4 publications

References 42 publications

Territorial Edge Computing Enabling Green Tourism and Green Development of CIPP Model Analytics

Territorial Edge Computing Enabling Green Tourism and Green Development of CIPP Model Analytics

Capacity Optimization in Dynamically Routing Computer Network Systems

A convex problem optimization solution for information management in edge computing platforms

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