Results 221 to 230 of about 30,951 (271)

Offloading Deadline-aware Task in Edge Computing

2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 2020
Edge computing is an emerging technology that provides the ability to offload tasks from resource-limited mobile devices to edge servers. Offloading tasks effectively can reduce service latencies of tasks and save resources of mobile devices significantly.
Xin He 0010, Wanchun Dou
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Task offloading in an optimized power‐performance manner

International Journal of Communication Systems, 2023
SummaryThe cloud computing systems, such as the Internet of Things (IoT), are usually introduced with a three‐layer architecture (IoT‐Fog‐Cloud) for the task offloading that is a solution to compensate for resource constraints in these systems. Offloading at the right location is the most significant challenge in this field.
Rojin Naseri, Mohammad Abdollahi Azgomi, Ali Naghash Asadi   +2 more
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Automated selection of offloadable tasks for mobile computation offloading in edge computing

2017 13th International Conference on Network and Service Management (CNSM), 2017
Mobile computation offloading has recently attracted much interest and first offloading solutions have been developed. However, the relevant technical challenge of how to automatically determine offloadable sections of Android applications has not been adequately investigated so far.
Alessandro Zanni, Se-Young Yu, Paolo Bellavista, Rami Langar, Stefano Secci   +4 more
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Robust Task Offloading in Dynamic Edge Computing

IEEE Transactions on Mobile Computing, 2023
Mobile edge computing achieves better application responsiveness by offloading tasks from end devices to edge servers installed at the vicinity. Practical scenarios such as post-disaster rescuing and battlefield monitoring make it attractive to use end devices themselves as edge servers.
Haibo Wang 0004, Hongli Xu 0001, He Huang 0001, Min Chen 0033, Shigang Chen   +4 more
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Analysis of Task Offloading for Accelerators

2010
As an answer to the forthcoming heterogeneous multicore and accelerator–based architectures, we have proposed some syntactic extensions to C in the form of C pragmas, based on OpenMP, that make easier for programmers to offload parts of their applications to the auxiliary processors.
Roger Ferrer, Vicenç Beltran 0001, Marc González 0001, Xavier Martorell, Eduard Ayguadé   +4 more
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To Offload or to Wait: An Opportunistic Offloading Algorithm for Parallel Tasks in a Mobile Cloud

2014 IEEE 6th International Conference on Cloud Computing Technology and Science, 2014
The significant development of mobile cloud computing allows a mobile user to access resources of the nearby mobile devices, i.e., Cloudlets, for processing tasks by using the offloading mechanism. However, due to the mobility of the user and cloudlets, the connection between the user's device and cloudlets may be interrupted since cloudlets move out ...
Tram Truong Huu, Chen-Khong Tham, Dusit Niyato   +2 more
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Context-Aware Task Offloading for Wearable Devices

2017 26th International Conference on Computer Communication and Networks (ICCCN), 2017
Wearable devices such as smartwatches do not have enough power and computation capability to process computationally intensive tasks. One viable solution is to offload these tasks to the connected smartphone. Existing Android smartphones allocate CPU resources to a task according to its performance requirement, which is determined by the context of the
Yi Yang 0005, Yeli Geng, Li Qiu 0004, Wenjie Hu 0002, Guohong Cao   +4 more
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Task Offloading and Caching for Mobile Edge Computing

2021 International Wireless Communications and Mobile Computing (IWCMC), 2021
Mobile applications in the present have created tremendous pressure on the computational capabilities of user equipments. Against this background, mobile edge computing (MEC) has been proposed to tackle this issue, e.g., by shifting the computational workload to the edge server.
Chaogang Tang, Chunsheng Zhu, Xianglin Wei, Huaming Wu, Qing Li 0001, Joel J. P. C. Rodrigues   +5 more
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Mobile-to-mobile opportunistic task splitting and offloading

2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015
With the advent of wearable computing and the resulting growth in mobile application market, we investigate mobile opportunistic cloud computing where mobile devices leverage nearby computational resources in order to save execution time and consumed energy.
Calice, Gerardo, Mtibaa, Abderrahmen, BERALDI, ROBERTO, Alnuweiri, Hussein   +3 more
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A Research of Task-Offloading Algorithm for Distributed Vehicles

2020 IEEE International Conference on Communications Workshops (ICC Workshops), 2020
The rapid development of intelligent transportation has caused vehicle terminals to generate a large amount of data that needs to be processed in real time. Meanwhile, multiple vehicles with high computing performance have also appeared. However, these high-performance vehicles have not been running at full load all the time. Performance vehicles share
Haitao Zhao 0004, Qixing Zhu, Yue Chen, Yinyang Zhu   +3 more
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