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Survey on edge computing and its evolution

Survey on edge computing and its evolution

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2024 international conference on Optics, Electronics, and communication engineering, OECE 2024

作者： Zhu, Hongmei Lin, Yilin Qin, Zeng China Telecom Research Institute Guangdong Guangzhou510630 China

ISBN: (纸本)9781510685437

Edge computing is the key technology for 5G to achieve high bandwidth and low latency. It has been widely applied in vertical industries. However, with the fast development of various intelligent application services, operators put forward new requirements for MEC as an edge cloud. Operators are continuously exploring how to help users find edge nodes more quickly, how to smoothly migrate users within edge nodes, and how to better serve vertical industry customers. This paper first introduced the development history of MEC technology. Then application scenarios of MEC are described. Later functions and architecture of MEC are described with the most popular function. After that 5G System enhancements for edge computing are introduced with R17, R18 and even R19 assumptions. Then the latest Work item ETSI MEC 047 is introduced. Lastly, the conclusion is made about development of MEC in future. © 2024 SPIE.

关键词： Mobile edge computing

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Physiological Data-Based Stress Detection: From Wrist Sensors to cloud computing and User Feedback Integration

Physiological Data-Based Stress Detection: From Wrist Sensor...

引用

2024 international conference on Smart Systems for Electrical, Electronics, communication and Computer engineering, ICSSEEC 2024

作者： Karpagam, G.R. Harsha Vardhan, V.M. Kabilan, K.K. Pranav, P. Ramesh, Prednya Suvan Sathyendira, B. PSG College of Technology Computer Science & Engineering Coimbatore India

ISBN: (纸本)9798350378177

Stress Detection employing physiological data desires to grasp and apprehend physical and physiological signals. Skin conductance, three axes acceleration and temperature data are gathered by the system using various sensors. The data from the deployed wearable sensors is the basis of data collection and is stored in the AWS cloud ecosystem. The stress levels are classified as stress, non-stress and amusement by random forest and logistic regression machine learning models. Random forest model, based on the data collected from the wearable sensors, classifies stress levels, achieving an astonishing accuracy of 99%. © 2024 IEEE.

关键词： Physiological models

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FUZZY RULE-BASED TRUST MANAGEMENT FOR cloud SECURITY

FUZZY RULE-BASED TRUST MANAGEMENT FOR CLOUD SECURITY

引用

2024 international conference on Sustainable computing and Integrated communication in Changing Landscape of AI, ICSCAI 2024

作者： Loonkar, Shweta Taneja, Neeti Beemkumar, N. Department of ISME ATLAS SkillTech University Maharashtra Mumbai India Department of Computer Science and Engineering Noida Institute of Engineering & Technology Uttar Pradesh Greater Noida India Karnataka Bangalore India

ISBN: (纸本)9798350355338

The growing need to solve large-scale computing problems has spurred the creation of multi cloud infrastructures in recent years. The complexity of trust-related problems has increased in this field, calling for creative solutions. A new trust management system designed specifically for multi cloud situations is presented in this paper. To determine if cloud service providers are trustworthy, the framework combines both subjective and objective trust values. It is especially good at identifying and correcting fake reviews within real ones. Another benefit is that trust levels are computed using fuzzy rules, which increases the system's flexibility. In order to demonstrate the effectiveness of the suggested structure, this study simulates its two essential elements, highlighting their crucial functions. Additionally, a comparison with other models that are currently in use is provided, such as feedback-based, SLA-based, and cloud-based models. The simulation results demonstrate the benefits of the suggested framework over other models, exhibiting higher trust levels. Our framework's mean trust values are higher than those of its competitors, demonstrating its strength and effectiveness in assessing and promoting trust in multicloud settings. With these additions, the study makes a substantial contribution to the understanding of trust-related issues in the dynamic context of multicloud infrastructures. © 2024 IEEE.

关键词： cloud security

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Data Encryption in 6G Networks: A Zero- Knowledge Proof Model 8

Data Encryption in 6G Networks: A Zero- Knowledge Proof Mode...

引用

8th international conference on I-SMAC (IoT in Social, Mobile, Analytics and cloud), I-SMAC 2024

作者： Khamesra, Aryan Selvaraj, P. Singh, Isha Srm Institute of Science and Technology Faculty of Engineering and Technology School of Computing Department of Computing Technologies Chennai Tamil Nadu Kattankulathur603203 India

ISBN: (纸本)9798350376425

This work presents an innovative algorithm demonstrating the effectiveness of zero-knowledge proofs (ZKPs) in network security. By integrating Advanced Encryption Standard (AES) and Rivest-Shamir-Adleman (RSA) for key generation, the algorithm showcases their applicability in enhancing security measures within 6G networks. It highlights the utility of ZKPs in bolstering data privacy and security by enabling entities to validate knowledge without compromising sensitive information. The algorithm shows its capability to ensure robust communication security through comprehensive simulations, thereby laying the groundwork for dependable next-generation communication infrastructures. © 2024 IEEE.

关键词： Ciphertext

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cloud computing Based Blended Learning: Quality Assurance Challenges

Cloud Computing Based Blended Learning: Quality Assurance Ch...

引用

2024 international conference on communication, Computer Sciences and engineering, IC3SE 2024

作者： Lata, Manju Sharma, Vibhu Uie Chandigarh University Cse Department Punjab Mohali India Chitkara University Institute Of Engineering And Technology Chitkara University Punjab India

ISBN: (纸本)9798350366846

As learning institutions increasingly adopt cloud-based blended learning models of integrating technology into traditional pedagogical approaches brings forth a myriad of challenges in ensuring quality assurance. This paper explores the multifaceted issues associated with the advance of robust quality assurance bases in cloud computing based blended learning environments. The concern for quality assurance falls primarily with the government, controls the regulatory bodies. Government organizations must conduct regular monitoring and evaluation activities to ensure quality in all programs and institutions to improve learning outcomes and learners' performance. Due to the increasing speed of web 2.0 adopters and mobile phone, there is a robust requirement for cloud-based blended learning. One reason for the expansion of cloud learning apps is the ease with which knowledge can be accessed, but another is the need for collaboration in an increasingly competitive world. The present work signifies the content quality and pedagogical strategies require collaborative efforts between teachers and instructional designers to create engaging and effective learning materials that leverage the capabilities of cloud technologies while maintaining academic consistency. The procedure used in this paper is entirely literature-based. The discussion of the issues as well as challenges of quality assurance in cloud-based blended learning highlights the need for comprehensive strategies and collaborative efforts to navigate this evolving learning paradigm successfully. © 2024 IEEE.

关键词： Quality assurance

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Security sharing of smart city communication data based on blockchain technology 10

Security sharing of smart city communication data based on b...

引用

10th IEEE international conference on Cyber Security and cloud computing and 9th IEEE international conference on Edge computing and Scalable cloud, CScloud-EdgeCom 2023

作者： Jun, Guo Liming, Zhong Yuxia, Dong Junjie, Wu QuanZhou University of Information Engineering Software College College of software engineering QuanZhou China

ISBN: (纸本)9798350312461

When the smart city communication data is safely shared, the sharing process is mainly realized through single authorization attribute base encryption, and the key and ciphertext cannot be updated in time, which makes the encryption and decryption process in the data security sharing process take long. Therefore, relying on the blockchain attribute encryption algorithm, a new smart city communication data security sharing method is designed. Relying on the principle of attribute base encryption, the data encryption algorithm is designed to realize the encryption and decryption of smart city communication data. In chronological order, all encrypted data are stored on the block sharing chain, and the corresponding keys and ciphertext are quickly generated by the request of multiple nodes participating in joint computing. Finally, through the OBDD (orderly binary decision chart) access structure, the data on the sharing chain is efficiently accessed to realize the secure sharing of communication data. The experimental results show that when the proposed method is applied to share the data in smart city communication, the average time of data encryption and decryption is 1. 9s,0.2s, which greatly reduces the cost of data security sharing. © 2023 IEEE.

关键词： Cryptography

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Edge computing Resource Allocation Method Based on Federated Reinforcement Learning 2

Edge Computing Resource Allocation Method Based on Federated...

引用

2nd international conference on Signal Processing and Intelligent computing, SPIC 2024

作者： Huang, Yingchun Xie, Tao Shenyang Ligong University School of Information Science and Engineering Shenyang China

ISBN: (纸本)9798350368888

With the increase in the number of smart devices, the data generated is growing exponentially, leading to a large amount of data flowing to the cloud and causing congestion in core network communication. Edge computing can effectively reduce the burden of the core network, but there are still challenges in resource allocation between edge nodes and cloud centers. A method based on federated learning and reinforcement learning (FLRL) has been proposed to address this issue, and the server and edge hosts jointly formulate resource allocation strategies, which is beneficial for the global system. Experiments have shown that this method outperforms traditional deep reinforcement learning algorithms in terms of system average utility, average time step, and average resource utilization. © 2024 IEEE.

关键词： Federated learning

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Evolving Towards Optimal cloud Resource Allocation and Cost Management: An In-depth Analysis 1

Evolving Towards Optimal Cloud Resource Allocation and Cost ...

引用

1st IEEE international conference on Advances in computing, communication and Networking, ICAC2N 2024

作者： Pal, Sourabh Agrawal, Krishna Kant Kasi, Baskar Galgotias University School of Computing Science and Engineering Greater Noida India

ISBN: (纸本)9798350356816

This research paper explores the field of cloud computing optimisation, with the goal of tackling the two-fold difficulty of efficiently allocating resources and effectively managing costs. The primary objective is to achieve a balance between optimising the allocation of resources to enhance performance and minimising operational expenses in cloud systems. Our approach incorporates a systematic methodology that includes a thorough examination of existing literature, the development of theoretical models, and the execution of substantial experiments. The suggested analysis indicates that dynamic allocation, load balancing, and auto-scaling techniques have significant potential in reaching this balance. Dynamic allocation adjusts resources in real-time to accommodate varying workloads, while load balancing maintains equitable distribution of resources. Auto-scaling stands out as the top performer, with a significant 28% reduction in costs and a noteworthy 30% boost in performance. The proposed research expands upon previous studies by offering a comprehensive evaluation of resource allocation options within the existing approaches. It highlights the feasibility of obtaining cost reductions while concurrently improving performance in cloud systems. However, the suggested study recognises specific constraints, including the utilisation of synthetic workload data and simplified cloud infrastructures. The research has significant ramifications as it provides guidance to organisations on how to optimise their allocation of cloud resources and manage costs. This ultimately promotes efficient and cost-effective cloud operations. © 2024 IEEE.

关键词： cloud platforms

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Comprehensive Review on Fog computing: Obstacles, Feature Traits, Limitations, and Potential Leverages on Application 4

Comprehensive Review on Fog Computing: Obstacles, Feature Tr...

引用

4th international conference on Technological Advancements in Computational Sciences, ICTACS 2024

作者： Sarkar, Tiyas Rakhra, Manik Singh, Pritpal Angra, Prikshat Kumar Cheema, Gagandeep Singh Mathur, Neeraj School of Computer Science and Engineering Lovely Professional University Punjab Phagwara India Mittal School of Business Lovely Professional University Punjab Phagwara India School of Computer Applications Lovely Professional University Punjab Phagwara India

ISBN: (纸本)9798350387490

A paradigm known as 'Fog computing' makes use of the benefits that come from using both cloud and edge devices to help contemporary computer systems by lowering latency, enhancing mobility, offering quality services, and supporting many tenants. Fog collaboration or fogging are other names for it. This study discusses and evaluates cloud computing, giving a brief overview of the concepts that were in use earlier than fog computing. cloud, mobile edge computing, and mobile cloud computing are some of these concepts. Enhancing the standard of Service's between end devices & cloud itself was goal of all the models. A fog-based computer Based on recent research on fog computing security difficulties, service issue's, Operational challenges, and information Management, a taxonomy is proposed. The foundation of the Standard for clarifying taxonomy is essential & practical problems with Fog computing. Potential applications & challenges are noted. The research reveals that among the contributions from scholars, safety, confidentiality, usage, and communication refers to are frequently mentioned. There are additional identified potential uses for fog computing, such as creative city Applications, healthcare applications & agricultural Applications. © 2024 IEEE.

关键词： cloud security

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A Systematic Literature Review on Continuous Integration and Deployment (CI/CD) for Secure cloud computing 20

A Systematic Literature Review on Continuous Integration and...

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20th international conference on Web Information Systems and Technologies, WEBIST 2024

作者： Saleh, Sabbir M. Madhavji, Nazim Steinbacher, John Department of Computer Science University of Western Ontario LondonON Canada IBM Canada Lab MarkhamON Canada

ISBN: (纸本)9789897587184

As cloud environments become widespread, cybersecurity has emerged as a top priority across areas such as networks, communication, data privacy, response times, and availability. Various sectors, including industries, healthcare, and government, have recently faced cyberattacks targeting their computing systems. Ensuring secure app deployment in cloud environments requires substantial effort. With the growing interest in cloud security, conducting a systematic literature review (SLR) is critical to identifying research gaps. Continuous Software engineering, which includes continuous integration (CI), delivery (CDE), and deployment (CD), is essential for software development and deployment. In our SLR, we reviewed 66 papers, summarising tools, approaches, and challenges related to the security of CI/CD in the cloud. We addressed key aspects of cloud security and CI/CD and reported on tools such as Harbor, SonarQube, and GitHub Actions. Challenges such as image manipulation, unauthorised access, and weak authentication were highlighted. The review also uncovered research gaps in how tools and practices address these security issues in CI/CD pipelines, revealing a need for further study to improve cloud-based security solutions. Copyright © 2024 by SCITEPRESS.

关键词： cloud security

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