Article
Engineering, Electrical & Electronic
Javier Baliosian, Luis M. Contreras, Pedro Martinez-Julia, Joan Serrat
Summary: Telecommunication operators are increasingly integrating computational infrastructure into their networks at different location levels, including the network edge. This highly distributed processing environment is expected to enable next-generation services. The article proposes a novel and efficient algorithm to determine the best service execution locations through the service edge, grouping services in categories according to their requirements and benefiting from the flexibility of distributed cloud resources.
IEEE COMMUNICATIONS MAGAZINE
(2021)
Article
Computer Science, Hardware & Architecture
Betul Ahat, Ahmet Cihat Baktir, Necati Aras, I. Kuban Altinel, Atay Ozgovde, Cem Ersoy
Summary: A mixed-integer linear programming (MILP) model is proposed in this study to optimally design a multi-tier computation structure for new services under edge computing infrastructure. Scalability issues are addressed through a heuristic algorithm based on the Lagrangian relaxation of the MILP formulation, while a greedy heuristic approach is presented for operators to quickly find feasible solutions. Computational experiments on randomly generated topologies show that the proposed methods can obtain high-quality solutions within time constraints.
Article
Computer Science, Information Systems
Chuntao Ding, Ao Zhou, Yunxin Liu, Rong N. Chang, Ching-Hsien Hsu, Shangguang Wang
Summary: This article presents a cloud-edge collaboration framework for delivering cognitive services with long-lasting, fast response, and high accuracy properties. The framework deploys shallow models on edge servers and deep models on cloud servers, enabling collaboration between the models to improve performance and accuracy.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Computer Science, Information Systems
Bin Gao, Zhi Zhou, Fangming Liu, Fei Xu, Bo Li
Summary: With the rapid development and deployment of 5G wireless technology, mobile edge computing (MEC) has emerged as a new computing paradigm to reduce user-perceived communication delay. This study focuses on optimizing access network selection and service placement for MEC to improve quality-of-service (QoS) in a cost-efficient manner. An efficient online framework and a computationally-efficient two-phase algorithm are proposed to achieve near-optimal solutions.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Sina Askarnejad, Marzieh Malekimajd, Ali Movaghar
Summary: The paper presents an innovative framework, PCA, to address service selection problem in a hybrid environment of peer-assisted, public, and private clouds. PCA detects conflicts between requests and enterprise policies, identifies appropriate services based on requirements, and reduces VM rental and network costs. Using set theory, B+ tree, and greedy algorithms, PCA selects services from multiple clouds to optimize resource utilization and reduce overall costs, achieving results faster and with cost reductions of up to 30 percent compared to recent studies.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2021)
Article
Computer Science, Information Systems
Adeel Rafiq, Saad Rehman, Rupert Young, Wang-Cheol Song, Muhammad Attique Khan, Seifedine Kadry, Gautam Srivastava
Summary: Emerging technologies such as network function virtualization and software-defined networking have made significant advancements in network management through software-based approaches. The combination of machine learning and cognitive techniques has introduced a knowledge plane for the Internet, enabling automation and recommendation. The proposed self-driving system based on knowledge defined networking achieves optimal path selection and resource balancing while utilizing a graph neural network for accurate estimation of key performance indicators.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Jaeyoung Hwang, Lionel Nkenyereye, Nakmyoung Sung, Jaeho Kim, Jaeseung Song
Summary: As IoT technology advances, various industries benefit from its value-added services, however, the simple integration of advanced technologies may not fully utilize their advantages. Therefore, there is a need for an efficient integration mechanism. The new architectural framework virtualizes an IoT platform at the edge node to support specific IoT services, reducing latency and efficiently managing IoT services.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Yongxuan Sang, Junqiang Cheng, Bo Wang, Ming Chen
Summary: This article focuses on the task scheduling problem in device-edge-cloud cooperative computing and proposes a heuristic scheduling method with three stages to optimize the service level agreement satisfaction. Experimental results show significant improvement in service level agreement satisfaction compared to classical and state-of-the-art methods.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Information Systems
Kaiyu Wang, Zhiying Tu, Zhenzhou Ji, Shufan He
Summary: By integrating edge computing with blockchain technology, traceable and immutable services can be provided to address distrust between edge devices. However, the contradiction between blockchain deployment's resource consumption and the limited resources of edge devices is the greatest obstacle. Reducing blockchain's computing power and storage demand becomes the main challenge.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoqian Chen, Tieliang Gao, Hui Gao, Baoju Liu, Ming Chen, Bo Wang
Summary: This article focuses on the joint service caching and task offloading problem in edge-cloud computing environments. A three-stage heuristic method is proposed to solve the problem in polynomial time, and the performance of the method is evaluated through extensive simulated experiments.
PEERJ COMPUTER SCIENCE
(2022)
Article
Computer Science, Hardware & Architecture
Wenhao Li, Hamid Faragardi, Mustafa Ozger, Cicek Cavdar, Bjorn Skubic
Summary: This paper investigates the problem of service selection in a marketplace and proposes two service selection algorithms. The experimental results show that the Improved version of Best Fit algorithm achieves better results in terms of monetary cost and execution time compared to the Best Fit algorithm and brute force algorithm.
Article
Engineering, Electrical & Electronic
Paulo Mendes
Summary: This article analyzes suitable networking design choices to support the Metaverse and proposes a new service-centric networking approach capable of incorporating low-latency data fetching, distributed computing, and fusion of heterogeneous data types over the Cloud-to-Thing continuum.
IEEE COMMUNICATIONS MAGAZINE
(2023)
Article
Chemistry, Analytical
Jingmin Yang, Trong-Yen Lee, Wen-Ta Lee, Li Xu
Summary: This paper discusses the reference model and application instance for the municipal service platform based on cloud-edge collaboration and introduces a game-theory-based dynamic resource allocation model. The designed e-government self-service system demonstrates the advantages of combining cloud computing and edge computing, providing a better user experience.
Article
Chemistry, Analytical
Adrian Orive, Aitor Agirre, Hong-Linh Truong, Isabel Sarachaga, Marga Marcos
Summary: The fast growth in the amount of connected devices has enabled the emergence of Edge computing, which provides lower latencies compared to Cloud computing. Combining Cloud and Edge computing can meet the quality of service requirements for complex applications. However, orchestrating applications in the Cloud-Edge computing faces new challenges that need to be solved to fully utilize this layered infrastructure. This paper proposes an architecture that dynamically orchestrates applications in the Cloud-Edge continuum, focusing on the application's quality of service.
Article
Computer Science, Artificial Intelligence
Zizhe Jin, Li Pan, Shijun Liu
Summary: Edge computing has advantages over cloud computing and can help content service providers achieve cost-effectiveness. A randomized online edge-renting algorithm is proposed to dynamically optimize rental decisions and save costs in different regions.
KNOWLEDGE-BASED SYSTEMS
(2022)
Article
Chemistry, Analytical
Marios Avgeris, Dimitrios Spatharakis, Dimitrios Dechouniotis, Aris Leivadeas, Vasileios Karyotis, Symeon Papavassiliou
Summary: The paper proposes an optimal resource allocation framework utilizing edge resources for task offloading from mobile devices to the Edge. A Markov Random Field based mechanism is introduced to balance low energy consumption, meet delay requirements, and achieve load balancing at the Edge. Evaluation through modeling and simulation shows that the proposed scheme outperforms other solutions.
Article
Computer Science, Information Systems
Dimitrios Spatharakis, Marios Avgeris, Nikolaos Athanasopoulos, Dimitrios Dechouniotis, Symeon Papavassiliou
Summary: The evolution of IIoT and edge computing allows resource-constrained mobile robots to offload computationally intensive localization algorithms. This poses a challenge in joint co-design of communication, control, estimation, and computing infrastructure when utilizing remote resources. A set-based estimation offloading framework is introduced for unicycle robot navigation, accounting for modeling and measurement uncertainties. A switching set-based control mechanism and utility-based offloading mechanism are designed to ensure accurate navigation and optimize resource utilization.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Proceedings Paper
Computer Science, Information Systems
Ioannis Dimolitsas, Dimitrios Spatharakis, Dimitrios Dechouniotis, Symeon Papavassiliou
Summary: This research introduces an autoscaling framework called AHP4HPA, which is aligned with the Kubernetes architecture and state-of-the-art practices. It aims to maximize performance and optimize power consumption by defining resource profiles and utilizing the Analytic Hierarchy Process (AHP).
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022)
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Dimitrios Spatharakis, Ioannis Dimolitsas, Eleftherios Vlahakis, Dimitrios Dechouniotis, Nikolaos Athanasopoulos, Symeon Papavassiliou
Summary: This paper proposes a scalable architecture compatible with the decentralized nature of Kubernetes to solve the problems of task scheduling and resource autoscaling. By exploiting a stable task scheduling solution, we dynamically redirect incoming requests and use prediction mechanism and machine learning-based application profiling modeling to handle dynamic workloads.
2022 18TH INTERNATIONAL CONFERENCE ON NETWORK AND SERVICE MANAGEMENT (CNSM 2022): INTELLIGENT MANAGEMENT OF DISRUPTIVE NETWORK TECHNOLOGIES AND SERVICES
(2022)
Proceedings Paper
Computer Science, Information Systems
Konstantinos Vasilopoulos, Vasileios Theodorou, Theodoros Bozios, Maria-Evgenia Xezonaki, Dimitrios Laskaratos
Summary: Edge computing, a growing distributed computing paradigm, is widely adopted in various domains such as cloud computing, telecommunications, IoT, and AI. However, automation in deployment and operation of edge computing services is still immature, making practical scenarios complex. This paper presents an integrated platform approach to simplify the establishment and management of edge computing services, with a focus on IoT.
2022 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT (EUCNC/6G SUMMIT)
(2022)
Proceedings Paper
Computer Science, Software Engineering
George Papathanail, Ioannis Dimolitsas, Ioakeim Fotoglou, Dimitrios Dechouniotis, Symeon Papavassiliou, Panagiotis Papadimitriou
Summary: Network slicing and cross-slice communication are important in enhancing the performance and reliability of 5G network services. This study presents an orchestration framework for cross-slice communication that fulfills technical requirements and demonstrates negligible performance overhead and minimal latency inflation.
PROCEEDINGS OF THE 2022 IEEE 8TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2022): NETWORK SOFTWARIZATION COMING OF AGE: NEW CHALLENGES AND OPPORTUNITIES
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
Dimitrios Dechouniotis, Dimitrios Spatharakis, Symeon Papavassiliou
Summary: This article introduces the concept and importance of edge robotics in Industrial Internet of Things, and presents a testbed for experimentation with robotic applications. The proposed architecture is evaluated using a compute-intensive application, validating its effectiveness.
PROCEEDINGS OF THE IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2022
(2022)
Article
Computer Science, Information Systems
Dimitrios Laskaratos, Ioannis Dimolitsas, George Papathanail, Maria-Evgenia Xezonaki, Angelos Pentelas, Vasileios Theodorou, Dimitrios Dechouniotis, Theodoros Bozios, Panagiotis Papadimitriou, Symeon Papavassiliou
Summary: In the dawn of the 6G era, the need for cross-service interactions is raised due to evolving service ecosystems. Existing resource/service orchestration frameworks are not capable of handling such interactions as they tend to orchestrate services independently. Therefore, optimized cross-service communication, specifically cross-slice communication (CSC), is emphasized. In this regard, a CSC orchestration platform named MESON is presented, fulfilling all main CSC requirements, including discovery, selection, establishment, and configuration of CSC in a secure and policy-compliant manner. Evaluation results from various tests demonstrate significant gains from optimized CSC in video streaming and Industry 4.0 use cases.
Proceedings Paper
Computer Science, Information Systems
Alexios Lekidis, Vasileios Theodorou, Nikolaos Psaromanolakis, Carmen Guerrero, Diego R. Lopez
Summary: The proposed direction for 5G NFV technologies involves adopting Cloud-native design principles and utilizing PaaS solutions for re-usability of virtual network functions. To address coordination challenges between core and edge networks, a methodology for automating NFV MANO and edge platform interaction is described, offering benefits of reducing management overhead and exposing edge resources to NFV MANO.
2021 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT (EUCNC/6G SUMMIT)
(2021)
