Design and implementation of user task offloading algorithm
Source abstract
Abstract
After the service provider temporarily selects the required edge nodes based on social and storage capabilities, application execution causes the edge nodes to cache part of the application data. Therefore, offloading part of the application computing tasks to the selected edge nodes can effectively improve application execution performance. However, in cases where the resources of user’s IoT devices are insufficient, tasks can be further offloaded to traditional edge servers or even to the cloud to maximize application execution efficiency. In this paper, the entire uninstall utility is modeled as a weighted sum of task completion time and energy consumption. Under the premise of considering users’ preferences for completion time and energy consumption, a game-based uninstallation algorithm is proposed. The algorithm performs uninstallation by optimizing the uninstallation decision. Based on user preferences, the total system overhead is relatively small. The subsequent simulation experiments show that the algorithm can reduce system overhead on the basis of satisfying user preferences and has relatively good adaptability.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: IoT and Edge/Fog Computing · Caching and Content Delivery · Cloud Computing and Resource Management
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Information and Control Engineering, Xi’an University of Architecture and Technology 1 , Xi’an 710054, China
Sichuan Institute of Geological Engineering Investigation Group Co., Ltd. 2 , ChengDu 610072, China
Shaan Xi Institute of Metrology Science 3 , Xi’an 710043, China
Funding
National Natural Science Foundation of China · Key Research and Development Projects of Shaanxi Province · National Key Research and Development Program of China · Scientific Research Plan Projects of Shaanxi Education Department · Natural Science Foundation of Shannxi Province · Key R&D Plan of Xianyang City
References (33)
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