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Resource Sharing of a Computing Access Point for Multi-user Mobile Cloud Offloading with Delay Constraints

Meng-Hsi Chen, Min Dong, Ben Liang
2018 IEEE Transactions on Mobile Computing  
We consider a mobile cloud computing system with multiple users, a remote cloud server, and a computing access point (CAP).  ...  The CAP serves both as the network access gateway and a computation service provider to the mobile users. It can either process the received tasks from mobile users or offload them to the cloud.  ...  Similar to the concept of MEC, in this work, we use the general term computing access point (CAP) , which refers to a wireless access point or a cellular base station with built-in computation capability  ... 
doi:10.1109/tmc.2018.2815533 fatcat:qqd2j6tfzbcvtc2ppfeigdnlde

Joint offloading decision and resource allocation for mobile cloud with computing access point

Meng-Hsi Chen, Min Dong, Ben Liang
2016 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Joint Task Offloading and Resource Allocation for Mobile Cloud with Computing Access Point Meng-Hsi Chen Doctor of Philosophy Mobile Cloud Computing (MCC) extends the capabilities of mobile devices to  ...  In this dissertation, we consider a general three-tier multi-user MCC system consisting of mobile users, a computing access point (CAP), and a remote cloud server.  ...  Multi-user Multi-task Mobile Cloud Offloading with CAP To generalize the mobile cloud models mentioned above, in Chapter 4, we consider a cloud access network consisting of one remote cloud server, one  ... 
doi:10.1109/icassp.2016.7472331 dblp:conf/icassp/ChenDL16 fatcat:z3udchptgzgyth2ako7rgguxyu

Optimal multi-dimensional dynamic resource allocation in mobile cloud computing

Shahin Vakilinia, Dongyu Qiu, Mustafa Mehmet Ali
2014 EURASIP Journal on Wireless Communications and Networking  
In this paper, we propose a model for mobile application profiles, wireless interfaces, and cloud resources.  ...  dynamic constraint programming method has been used to determine the appropriate transmission power, process power, cloud offloading and optimum QoS profiles.  ...  Mobile cloud computing is a new concept in which mobile users access the cloud virtual resources via the Internet. It is beneficial to QoS and battery saving by means of mobile data offloading.  ... 
doi:10.1186/1687-1499-2014-201 fatcat:wcwfhuxqtfhjzisdpjjzw4evaa

Artificial Intelligence-Empowered Edge of Vehicles: Architecture, Enabling Technologies, and Applications

Hongjing Ji, Osama Alfarraj, Amr Tolba
2020 IEEE Access  
To substantially reduce the latency and the energy consumption, application work is offloaded from a mobile device to a remote cloud or a nearby mobile edge cloud for processing.  ...  With the proliferation of mobile devices and a wealth of rich application services, the Internet of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive computing tasks.  ...  The resource allocation problem of offloading computing to the mobile cloud by mobile users is considered, where a single mobile device can stream computations to the mobile cloud via multiple access points  ... 
doi:10.1109/access.2020.2983609 fatcat:b45abdrxbracnbfpvtvtu5uxui

An Offloading Algorithm based on Markov Decision Process in Mobile Edge Computing System

Bingxin Yao, Bin Wu, Siyun Wu, Yin Ji, Danggui Chen, Limin Liu
2022 North atlantic university union: International Journal of Circuits, Systems and Signal Processing  
In this paper, an offloading algorithm based on Markov Decision Process (MDP) is proposed to solve the multi-objective offloading decision problem in Mobile Edge Computing (MEC) system.  ...  According to the policy, tasks of mobile terminals (MTs) are offloaded to the edge cloud or central cloud, or executed locally.  ...  The offloading problem of mobile terminals is regarded as a joint optimization of wireless resources, with the aim to minimize the energy consumption of all terminals and satisfy the delay constraints  ... 
doi:10.46300/9106.2022.16.15 fatcat:lq6f5pfwu5hbppwqhqiyigu4ai

Multi-user Multi-task Offloading and Resource Allocation in Mobile Cloud Systems

Meng-Hsi Chen, Ben Liang, Min Dong
2018 IEEE Transactions on Wireless Communications  
These mobile users share the computation and communication resources while offloading tasks to the cloud.  ...  We consider a general multi-user Mobile Cloud Computing (MCC) system where each mobile user has multiple independent tasks.  ...  Mobile Cloud Offloading with Multiple Users and Tasks Consider a general cloud access network consisting of one cloud server, one AP, and N mobile users, each having M independent tasks, as shown in Fig  ... 
doi:10.1109/twc.2018.2864559 fatcat:sbl66i5e3vgodoqto6p5av5hfa

Multi-user and Multi-task Offloading Decision Algorithms based on Imbalanced Edge Cloud

Wen-jiang Feng, Xiao-shan Zhou, Chong-hai Yang
2019 IEEE Access  
For multi-user and multi-task offloading decision based on the imbalanced edge cloud, a new offloading cost criteria, based on the tradeoff among time delay-energy consumption-cost, is designed to quantify  ...  The mobile edge computing (MEC) technology can provide mobile users (MU) with high reliability and low time-delay computing and communication services.  ...  This paper studies multi-user and multi-task offloading decisions based on unbalanced edge cloud, where multiple users share multiple ECS computing resources via multiple APs.  ... 
doi:10.1109/access.2019.2928377 fatcat:cc2ckams7rg3vczgrlfnthqidi

Multi-Objective Computation Sharing in Energy and Delay Constrained Mobile Edge Computing Environments

Arash Bozorgchenani, Farshad Mashhadi, Daniele Tarchi, Sergio Salinas Monroy
2020 IEEE Transactions on Mobile Computing  
In a mobile edge computing (MEC) network, mobile devices, also called edge clients, offload their computations to multiple edge servers that provide additional computing resources.  ...  In this paper, we model task offloading in MEC as a constrained multi-objective optimization problem (CMOP) that minimizes both the energy consumption and task processing delay of the mobile devices.  ...  The work in [34] studies a fog-based mobile cloud computing, where mobile devices are modeled with queues, fog nodes act as access points, and a central cloud is available for computations.  ... 
doi:10.1109/tmc.2020.2994232 fatcat:undvdszrajcqflgf5lk2he3tfq

Artificial intelligence for edge service optimization in Internet of Vehicles: A survey

Xiaolong Xu, Haoyuan Li, Weijie Xu, Zhongjian Liu, Liang Yao, Fei Dai
2022 Tsinghua Science and Technology  
Edge Computing (EC) that deploys physical resources near road-side units is involved in IoV to support real-time services for vehicular users.  ...  Generally, collected information is transmitted to a centralized resourceintensive cloud platform for service implementation.  ...  with cloud access points along with other RSUs and edge servers.  ... 
doi:10.26599/tst.2020.9010025 fatcat:zgakvppxojawjb7cto4tu6237u

Device vs Edge Computing for Mobile Services: Delay-aware Decision Making to Minimize Power Consumption [article]

Meysam Masoudi, Cicek Cavdar
2019 arXiv   pre-print
A promising technique to provide mobile applications with high computation resources is to offload the processing task to the cloud.  ...  This paper investigates the power minimization problem for the mobile devices by data offloading in multi-cell multi-user OFDMA mobile edge computing networks.  ...  Chen, “Wireless resource scheduling based on backoff for multi-user multi-service mobile cloud computing,” 2016. [19] M.-H. Chen, B. Liang, and M.  ... 
arXiv:1711.03771v2 fatcat:7i5tvealv5fmlptlzdaehpryha

A game-theoretic approach to computation offloading in mobile cloud computing

Valeria Cardellini, Vittoria De Nitto Personé, Valerio Di Valerio, Francisco Facchinei, Vincenzo Grassi, Francesco Lo Presti, Veronica Piccialli
2015 Mathematical programming  
the mobile nodes access points but characterized by a limited amount of resources, and a remote tier of distant cloud servers, which have practically infinite resources.  ...  For this architecture, we consider a usage scenario where no central authority exists and multiple non-cooperative mobile users share the limited computing resources of a close-by cloudlet and can selfishly  ...  policies for the access to the shared cloudlet resources.  ... 
doi:10.1007/s10107-015-0881-6 fatcat:muvm5h6b7ve35kkqfw6oanxxjm

A Survey and Taxonomy on Task Offloading for Edge-Cloud Computing

Bo Wang, Changhai Wang, Wanwei Huang, Ying Song, Xiaoyun Qin
2020 IEEE Access  
INDEX TERMS Cloud computing, edge computing, edge-cloud, mobile computing, task offloading. This work is licensed under a Creative Commons Attribution 4.0 License.  ...  Edge-cloud computing, combining the benefits of both edge computing and cloud computing, is one of the most promising ways to address the resource insufficiency of smart devices.  ...  access points, and a central cloud.  ... 
doi:10.1109/access.2020.3029649 fatcat:jvjhfke56bd3dmuqwiygl2uxo4

Towards Mobile Edge Computing: Taxonomy, Challenges, Applications and Future Realms

Junaid Qadir
However, deploying cloud computing for delay critical applications and reducing the delay in access to the resources are challenging.  ...  The realm of cloud computing has revolutionized access to cloud resources and their utilization and applications over the Internet.  ...  However, the state-of-the-art of cloud computing faces a delay constraint, which becomes a major barrier for reliable cloud services.  ... 
doi:10.6084/m9.figshare.13147607.v1 fatcat:ni77edahzfhifgqtl22o565ygi

Task Data Offloading and Resource Allocation in Fog Computing with Multi-Task Delay Guarantee

Mithun Mukherjee, Suman Kumar, Qi Zhang, R. Matam, Constandinos X. Mavromoustakis, Yunrong Lv, George Mastorakis
2019 IEEE Access  
In this paper, we study the computational offloading for the multiple tasks with various delay requirements for the end-users, initiated one task at a time in end-user side.  ...  INDEX TERMS 5G and beyond, computation offloading, mobile edge computing, fog computing, resource allocation, offloading decision.  ...  Recently, Chen et al. provided an optimal solution for deciding between fog node (similar to computing access point) and remote cloud server to offload the task data considering single user with a single  ... 
doi:10.1109/access.2019.2941741 fatcat:7g7taqv6lnapnltvxt4xb4sap4

Computation Offloading for Distributed Mobile Edge Computing Network: A Multiobjective Approach

Farhan Sufyan, Amit Banerjee
2020 IEEE Access  
Toward this end, we propose an efficient computation offloading scheme for a distributed load sharing MEC network in cooperation with cloud computing to enhance the capabilities of the SDs.  ...  Mobile edge computing (MEC) is emerging as a cornerstone technology to address the conflict between resource-constrained smart devices (SDs) and the ever-increasing computational demands of the mobile  ...  Moreover, in [26] , the authors propose a generic architecture of collaborative computation offloading with a centralized cloud to provide support for multi-user multi-MEC scenarios over the hybrid FiWi  ... 
doi:10.1109/access.2020.3016046 fatcat:mpfudzojxzamlokbditvblwxlq
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