Results 31 to 40 of about 26,223 (296)

Research on Distributed V2V Computation Offloading Method for Internet of Vehicles Blockchain [PDF]

Jisuanji kexue yu tansuo
Vehicle edge computing enhances the computational capabilities of vehicles by offloading computations. The existing task offloading strategies do not simultaneously consider data security, priority of offloading tasks, computation resource release, and ...
MENG Zhen, REN Guanyu, WAN Jianxiong, LI Leixiao
doaj   +1 more source

Delilah:eBPF-offload on Computational Storage [PDF]

, 2023
The idea of pushing computation to storage devices has been explored for decades, without widespread adoption so far. The definition of Computational Programs namespaces in NVMe (TP 4091) might be a breakthrough. The proposal defines device-specific programs, that are installed statically, and downloadable programs, offloaded from a host at run-time ...
Hedam, Niclas, Clausen, Morten Tychsen; id_orcid 0000-0001-8609-0745, Bonnet, Philippe, Lee, Sangjin, Larsen, Ken Friis   +4 more
openaire   +1 more source

Reliability-oriented optimization of computation offloading for cooperative vehicle-infrastructure systems [PDF]

, 2019
Computation offloading is critical for mobile applications that are sensitive to computational power, while dynamic and random nature of vehicular networks makes it challenging to guarantee the reliability of vehicular computation offloading.
Leung, Victor, Sheng, Zhengguo, Tian, Daxin, Wang, Yunpeng, Xuan, Xuting, Zhou, Jianshan   +5 more
core   +1 more source

Adaptive secure malware efficient machine learning algorithm for healthcare data

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

Optimal Access Scheme for Security Provisioning of C-V2X Computation Offloading Network With Imperfect CSI

IEEE Access, 2020
In a cellular vehicle-to-everything (C-V2X) enabled computation-offloading network, vehicular users may deliver computation tasks to a cellular base station (BS) through vehicle-to-infrastructure (V2I) transmission links in order to accommodate ...
Bin Qiu, Hailin Xiao, Anthony Theodore Chronopoulos, Di Zhou, Shan Ouyang   +4 more
doaj   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Optimal dynamic spectrum allocation-assisted latency minimization for multiuser mobile edge computing

Digital Communications and Networks, 2022
Mobile Edge Computing (MEC) has been envisioned as an efficient solution to provide computation-intensive yet latency-sensitive services for wireless devices.
Yang Li, Tianshun Wang, Yuan Wu, Weijia Jia   +3 more
doaj   +1 more source

A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing [PDF]

IEEE Internet of Things Journal, 2020
In mobile edge computing (MEC), smart mobile devices (SMDs) with limited computation resources and battery lifetime can offload their computing-intensive tasks to MEC servers, thus to enhance the computing capability and reduce the energy consumption of SMDs. Nevertheless, offloading tasks to the edge incurs additional transmission time and thus higher
Fuhong Song, Huanlai Xing, Shouxi Luo, Dawei Zhan, Penglin Dai, Rong Qu   +5 more
openaire   +2 more sources

Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing

Digital Communications and Networks, 2019
The rapid growth of mobile internet services has yielded a variety of computation-intensive applications such as virtual/augmented reality. Mobile Edge Computing (MEC), which enables mobile terminals to offload computation tasks to servers located at the
Liang Huang, Xu Feng, Cheng Zhang, Liping Qian, Yuan Wu   +4 more
doaj   +1 more source

Utility-Oriented Computation Scheduling for Energy-Efficient Mobile Edge Computing Networks

IEEE Open Journal of the Computer Society, 2022
As a new computing paradigm, mobile edge computing (MEC) enables users to execute computation-intensive tasks at the network edge nodes (ENs) through computation offloading.
Ran Bi, Yiwei Sun, Yuexin He, Ting Peng, Meng Han, Guozhen Tan   +5 more
doaj   +1 more source