Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Nancy A Angel, Dakshanamoorthy Ravindran, P M Durai Raj Vincent, Kathiravan Srinivasan + 5 more
Cloud computing has become integral lately due to the ever-expanding Internet-of-things (IoT) network. It still is and continues to be the best practice for implementing complex computational applications, emphasizing the massive processing of data. However, the cloud falls short due to the critical constraints of…
Quoc‐Viet Pham, Fang Fang, Vu Nguyen Ha, Md. Jalil Piran + 4 more
'Long Bao Le' 'Won–Joo Hwang' 'Zhiguo Ding'] Abstract—Driven by the emergence of new compute-intensive applications and the vision of the Internet of Things (IoT), it is foreseen that the emerging 5G network will face an unprecedented increase in traffic volume and computation demands. However, end users mostly have…
Madhusanka Liyanage, Pawani Porambage, Aaron Yi Ding
—The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the wireless access networks. MEC provides real-time, high-bandwidth, low-latency access to radio network resources, allowing operators to open their networks to a new ecosystem and value chain.…
Junhyung Moon, Minyeol Yang, Jongpil Jeong, Moonseong Kim + 1 more
'Byungseok Kang'] In this study, based on multi-access edge computing (MEC), we provided the possibility of cooperating manufacturing processes. We tried to solve the job shop scheduling problem by applying DQN (deep Q-network), a reinforcement learning model, to this method. Here, to alleviate the overload of…
Yiqin Deng, Xianhao Chen, Guangyu Zhu, Yuguang Fang + 2 more
'Xiaoheng Deng'] Abstract—Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for sensing, communications, computing, storage and intelligence (SCCSI) to the premise s closer to the end users, i.e., the edge, so that they could leverage the nearby rich resources to improve their quality of…
Mengyu Zhu, Shaoshuai Gao, Guofang Tu, Deyuan Chen + 2 more
'Junwei Yan'] With the rapid development of wireless communication technology and the emergence of intelligent applications, higher requirements have been put forward for data communication and computing capacity. Multi-access edge computing (MEC) can handle highly demanding applications by users by sinking the…
Emmanuella Adu, Yeongmuk Lee, Jihwan Moon, Sooyoung Jang + 3 more
Multi-access edge computing (MEC) has been widely recognized as a promising solution for alleviating the computational burden on edge devices, particularly in supporting fast and real-time processing of resource-intensive applications. In this paper, we propose a decentralized offloading decision strategy based on…
Md Delowar Hossain, Tangina Sultana, Md Alamgir Hossain, Md Imtiaz Hossain + 4 more
'Md Imtiaz Hossain' 'Luan N. T. Huynh' 'Junyoung Park' 'Eui-Nam Huh' 'Taehong Kim'] Multi-access edge computing (MEC) is a new leading technology for meeting the demands of key performance indicators (KPIs) in 5G networks. However, in a rapidly changing dynamic environment, it is hard to find the optimal target server…
Ahmed M. Alwakeel, Koffi-Clément Yao
With the advancement of different technologies such as 5G networks and IoT the use of different cloud computing technologies became essential. Cloud computing allowed intensive data processing and warehousing solution. Two different new cloud technologies that inherit some of the traditional cloud computing paradigm…
Hamed Rahimi, Yvan Picaud, Salvatore Costanzo, Giyyarpuram Madhusudan + 2 more
'Giyyarpuram Madhusudan' 'Olivier Boissier' 'Kamal Deep Singh'] Abstract—Edge Computing in 5G and Beyond is a promising solution for ultra-low latency applications (e.g. Autonomous Vehicle, Augmented Reality, and Remote Surgery), which have an extraordinarily low tolerance for the delay and require fast data processing…
Mohammed S. Elbamby, Cristina Perfecto, Chen–Feng Liu, Jihong Park + 3 more
'Sumudu Samarakoon' 'Xianfu Chen' 'Mehdi Bennis'] Abstract—Edge computing is an emerging concept based on distributing computing, storage, and control services closer to end network nodes. Edge computing lies at the heart of the fifth generation (5G) wireless systems and beyond. While current state-of-the-art networks…
Silvana Trindade, Luiz F. Bittencourt, Nelson L. S. da Fonseca
Federated learning has been explored as a promising solution for training at the edge, where end devices collaborate to train models without sharing data with other entities. Since the execution of these learning models occurs at the edge, where resources are limited, new solutions must be developed. In this paper, we…
Xiangyan Liu, Jianhong Zheng, Meng Zhang, Yang Li + 2 more
'Yun He'] Device-to-device (D2D) communications and mobile edge computing (MEC) used to resolve traffic overload problems is a trend in the cellular network. By jointly considering the computation capability and the maximum delay, resource-constrained terminals offload parts of their computation-intensive tasks to one…
Jianbin Wu, Sami Ahmed Haider, Mukesh Soni, Ashima Kalra + 2 more
'Nabamita Deb' 'Lisu Yu'] Mobile edge computational power faces the difficulty of balancing the energy consumption of many devices and workloads as science and technology advance. Most related research focuses on exploiting edge server computing performance to reduce mobile device energy consumption and task execution…
Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick + 1 more
'Dimitrios S. Nikolopoulos'] Abstract—Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse…