Energy-efficient real-time job mapping and resource management in mobile-edge computing
Mobile-edge computing (MEC) has emerged as a promising paradigm for enabling Internet of Things (IoT) devices to handle computation-intensive jobs. Due to the imperfect parallelization of algorithms for job processing on servers and the impact of IoT device mobility on data communication quality in...
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Main Authors: | Gao, Chuanchao, Kumar, Niraj, Easwaran, Arvind |
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Other Authors: | Interdisciplinary Graduate School (IGS) |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2025
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/179612 |
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Institution: | Nanyang Technological University |
Language: | English |
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