Results 41 to 50 of about 3,062,410 (214)
IEEE Access, 2020 Mobile cloud computing has emerged as a promising paradigm to facilitate computation-intensive and delay-sensitive mobile applications. Computation offloading services at the edge mobile cloud environment are provided by small-scale cloud infrastructures
Shuang Lai +6 more
doaj +1 more source
Random Access-based Multiuser Computation Offloading for Devices in IoT Applications [PDF]
arXiv, 2022 In various Internet-of-Things (IoT) applications, a number of devices and sensors are used to collect data sets. As devices become more capable and smarter, they can not only collect data sets, but also process them locally. However, since most devices would be limited in terms of computing power and energy, they can take advantage of offloading so ...
arxiv
Survey on computation offloading in mobile edge computing
Tongxin xuebao, 2018 Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage,computation performance and energy efficiency ...
Renchao XIE +4 more
doaj +2 more sources
Users' experience matter: Delay sensitivity-aware computation offloading in mobile edge computing
Digital Communications and Networks, 2022 As a promising computing paradigm, Mobile Edge Computing (MEC) provides communication and computing capability at the edge of the network to address the concerns of massive computation requirements, constrained battery capacity and limited bandwidth of ...
Mingzhi Wang +4 more
doaj
Dependency-Aware Computation Offloading for Mobile Edge Computing With Edge-Cloud Cooperation
IEEE Transactions on Cloud Computing, 2022 Most of existing Multi-access edge computing (MEC) studies consider the remote cloud server as a special edge server, the opportunity of edge-cloud collaboration has not been well exploited.
Long Chen +5 more
semanticscholar +1 more source
Q-Learning-Based Task Offloading and Resources Optimization for a Collaborative Computing System
IEEE Access, 2020 Mobile edge computing (MEC) can effectively overcome the shortcomings of high-latency in mobile cloud computing (MCC) by deploying the cloud resources, e.g., storage and computational capability, to the edge.
Zihan Gao +3 more
doaj +1 more source
Joint Offloading Decision and Resource Allocation for Multiuser NOMA-MEC Systems
IEEE Access, 2019 Mobile edge computing (MEC) is becoming a promising paradigm to provide computing services for smart mobile devices (SMDs) via offloading computation-intensive tasks to MEC servers deployed at the network edge.
Wen'An Zhou +4 more
doaj +1 more source
Journal of Cloud Computing: Advances, Systems and Applications, 2021 Connected and Automated Vehicle (CAV) is a transformative technology that has great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming the key subject of next-generation CAVs by virtue of its advantages in energy ...
Bing Lin +5 more
doaj +1 more source
Research on task-offloading decision mechanism in mobile edge computing-based Internet of Vehicle
EURASIP Journal on Wireless Communications and Networking, 2021 As a technology integrated with Internet of things, mobile edge computing (MEC) can provide real-time and low-latency services to the underlying network and improve the storage and computation ability of the networks instead of central cloud ...
Jun Cheng, Dejun Guan
doaj +1 more source
Practical Encrypted Computing for IoT Clients [PDF]
arXiv, 2021 Privacy and energy are primary concerns for sensor devices that offload compute to a potentially untrusted edge server or cloud. Homomorphic Encryption (HE) enables offload processing of encrypted data. HE offload processing retains data privacy, but is limited by the need for frequent communication between the client device and the offload server ...
arxiv