Results 21 to 30 of about 36,405 (319)

A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective

Qubahan Academic Journal, 2023
The rapid development of Internet of Things (IoT) technologies has led to increasingly complex software systems on Terminal Devices (TDs). This increases the computational load and battery consumption of TDs. The emergence of Multi-access Edge Computing
Wang Dayong, Kamalrulnizam Bin Abu Bakar, Babangida Isyaku   +2 more
doaj   +1 more source

Performance Guaranteed Computation Offloading for Mobile-Edge Cloud Computing [PDF]

, 2017
In this letter, we investigate an energy efficiency with performance guaranteed problem in mobile-edge computing. The mobile users desire lower energy consumption with better performance of tasks, for that we propose an energy minimizing optimization ...
DONG Mianxiong, LI Keqiu, OTA Kaoru, QI Heng, TAO Xiaoyi   +4 more
core   +2 more sources

Collaborative Mobile-To-Mobile Computation Offloading [PDF]

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing, 2014
It is common practice for mobile devices to offload computationally heavy tasks off to a cloud, which has greater computational resources. In this paper, we consider an environment in which computational offloading is made among collaborative mobile devices.We call such an environment a mobile device cloud (MDC).
Abderrahmen Mtibaa, Mohammad Abu Snober, Antonio Carelli, Roberto Beraldi, Hussein Alnuweiri   +4 more
openaire   +2 more sources

Truthful Computation Offloading Mechanisms for Edge Computing [PDF]

2020 7th IEEE International Conference on Cyber Security and Cloud Computing (CSCloud)/2020 6th IEEE International Conference on Edge Computing and Scalable Cloud (EdgeCom), 2020
Edge computing (EC) is a promising paradigm providing a distributed computing solution for users at the edge of the network. Preserving satisfactory quality of experience (QoE) for users when offloading their computation to EC is a non-trivial problem.
Ma, Weibin, Mashayekhy, Lena
openaire   +2 more sources

Fault Tolerant Horizontal Computation Offloading [PDF]

2023 IEEE International Conference on Edge Computing and Communications (EDGE), 2023
The broad development and usage of edge devices has highlighted the importance of creating resilient and computationally advanced edge-to-cloud continuum environments. When working with edge devices these desiderata are usually achieved through replication and offloading.
Droob, Alexander, Morratz, Daniel, Jakobsen, Frederik Langkilde, Carstensen, Jacob, Mathiesen, Magnus, Bohnstedt, Rune, Albano, Michele, Moreschini, Sergio, Taibi, Davide   +8 more
openaire   +2 more sources

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

Mobile cloud computing for computation offloading: Issues and challenges

Applied Computing and Informatics, 2018
Despite the evolution and enhancements that mobile devices have experienced, they are still considered as limited computing devices. Today, users become more demanding and expect to execute computational intensive applications on their smartphone devices.
Khadija Akherfi, Micheal Gerndt, Hamid Harroud   +2 more
doaj   +1 more source

Energy-Efficient Offloading Based on Efficient Cognitive Energy Management Scheme in Edge Computing Device with Energy Optimization

Energies, 2022
Edge devices and their associated computing techniques require energy efficiency to improve sustainability over time. The operating edge devices are timed to swap between different states to achieve stabilized energy efficiency. This article introduces a
Vishnu Kumar Kaliappan, Aravind Babu Lalpet Ranganathan, Selvaraju Periasamy, Padmapriya Thirumalai, Tuan Anh Nguyen, Sangwoo Jeon, Dugki Min, Enumi Choi   +7 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

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