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Youpeng Tu, Haiming Chen, Linjie Yan and Xinyan Zhou
In IoT (Internet of Things) edge computing, task offloading can lead to additional transmission delays and transmission energy consumption. To reduce the cost of resources required for task offloading and improve the utilization of server resources, in t...
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Shuang Fu, Chenyang Ding and Peng Jiang
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Beniamino Di Martino, Salvatore Venticinque, Antonio Esposito and Salvatore D?Angelo
Internet of Things (IoT) is becoming a widespread reality, as interconnected smart devices and sensors have overtaken the IT market and invaded every aspect of the human life. This kind of development, while already foreseen by IT experts, implies additi...
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Edvinas Danevicius, Rytis Maskeliunas, Robertas Dama?evicius, Dawid Polap and Marcin Wozniak
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Edvinas Danevicius, Rytis Maskeliunas, Robertas Dama?evicius, Dawid Polap and Marcin Wozniak
We describe the gamification of a soft physics simulator. We developed a game, called Jelly Dude, that allows the player to change and modify the game engine by tinkering with various physics parameters, creating custom game levels and installing scripts...
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Ruipeng Zhang, Yanxiang Feng, Yikang Yang and Xiaoling Li
By enabling a satellite network with edge computing capabilities, satellite edge computing(SEC) provides users with a full range of computing service. In this paper, we construct a multi-objective optimization model for task offloading with data-dependen...
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Jung-Hee Yoo, Patrick Schrijvers, Arjen Koop and Jong-Chun Park
This study entailed the estimation of wind loads performed using computational fluid dynamics (CFD) simulations for four typical offshore vessels and for a Floating Production, Storage, and Offloading (FPSO) and shuttle tanker in a side-by-side configura...
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Chen Zhang, Celimuge Wu, Min Lin, Yangfei Lin and William Liu
In the advanced 5G and beyond networks, multi-access edge computing (MEC) is increasingly recognized as a promising technology, offering the dual advantages of reducing energy utilization in cloud data centers while catering to the demands for reliabilit...
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Xiaowei Liu, Shuwen Jiang and Yi Wu
With the internet developing rapidly, mobile edge computing (MEC) has been proposed to offer computational capabilities to tackle the high latency caused by innumerable data and applications. Due to limited computing resources, the innovation of computat...
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Fernaz Narin Nur,Saiful Islam,Nazmun Nessa Moon,Asif Karim,Sami Azam,Bharanidharan Shanmugam
Pág. 193 - 201
Mobile Edge Computing (MEC) is relatively a novel concept in the parlance of Computational Offloading. MEC signifies the offloading of intensive computational tasks to the cloud which is generally positioned at the edge of a mobile network. Being in an e...
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Woping Xu and Li Gu
Recently, unmanned aerial vehicle (UAV)-assisted maritime communication systems have drawn considerable attention due to their potential for broadband maritime communication applications. However, their limited energy resources remains a critical issue i...
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Zuopeng Li, Hengshuai Ju and Zepeng Ren
The existing research on dependent task offloading and resource allocation assumes that edge servers can provide computational and communication resources free of charge. This paper proposes a two-stage resource allocation method to address this issue. I...
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Weihong Cai and Fengxi Duan
With the development of computationally intensive applications, the demand for edge cloud computing systems has increased, creating significant challenges for edge cloud computing networks. In this paper, we consider a simple three-tier computational mod...
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Ahmad Zendebudi and Salimur Choudhury
Even though small portable devices are becoming increasingly more powerful in terms of processing power and power efficiency, there are still workloads that require more computational capacity than these devices offer. Examples of such workloads are real...
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Xianhao Shen, Zhaozhan Chang, Xiaolan Xie and Shaohua Niu
To reduce computing delay and energy consumption in the Vehicular networks, the total cost of task offloading, namely delay and energy consumption, is studied. A task offloading model combining local vehicle computing, MEC (Mobile Edge Computing) server ...
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Yongpeng Shi, Yujie Xia and Ya Gao
As an emerging network architecture and technology, mobile edge computing (MEC) can alleviate the tension between the computation-intensive applications and the resource-constrained mobile devices. However, most available studies on computation offloadin...
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Panagiotis Gkonis, Anastasios Giannopoulos, Panagiotis Trakadas, Xavi Masip-Bruin and Francesco D?Andria
The rapid growth in the number of interconnected devices on the Internet (referred to as the Internet of Things?IoT), along with the huge volume of data that are exchanged and processed, has created a new landscape in network design and operation. Due to...
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Jun Liu, Xiaohui Lian and Chang Liu
In Space?Air?Ground Integrated Networks (SAGIN), computation offloading technology is a new way to improve the processing efficiency of node tasks and improve the limitation of computing storage resources. To solve the problem of large delay and energy c...
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Jane-Frances Igbadumhe, Omar Sallam, Mirjam Fürth and Rihui Feng
Wave excited roll motion poses danger for moored offshore vessels such as Floating Production Storage and Offloading (FPSO) because they cannot divert to avoid bad weather. Furthermore, slack cargo tanks are almost always present in FPSOs by design. Thes...
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Uma Nandhini D,Udhayakumar S,Latha Tamilselvan,Silviya Nancy J
Pág. pp. 165 - 178
Computing with mobile is still in its infancy due to its limitations of computational power, battery lifetime and storage capacity. These limitations hinder the growth of mobile computing, which in-turn affects the growth of computationally intensive app...
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