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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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CoxNet: A Computation Reuse Architecture at the Edge.
Zouhir Bellal1, Boubakr Nour2, Spyridon Mastorakis3
1Ecole Superieure en Informatique, Sidi Bel Abbes, Algeria.
IEEE Transactions on Green Communications and Networking
|August 30, 2021
Summary
Edge computing faces challenges with intensive mobile applications. CoxNet architecture enables edge servers to reuse computations, significantly reducing task execution time for improved performance.
Area of Science:
- Computer Science
- Distributed Systems
- Edge Computing
Background:
- Edge computing extends cloud capabilities for low-latency applications.
- Intensive mobile applications create high demand and pressure on edge servers.
- Interconnected computations in modern applications require efficient processing.
Purpose of the Study:
- To introduce CoxNet, an efficient computation reuse architecture for edge computing.
- To address the challenges of computation-intensive and delay-sensitive services on edge servers.
- To enable edge servers to reuse previous computations for dependent tasks.
Main Methods:
- Developed an analytical model for computation reuse with dependent task offloading.
- Designed a novel computing offloading scheduling scheme within the CoxNet architecture.
- Evaluated CoxNet's performance using both synthetic and real-world datasets.
Main Results:
- CoxNet demonstrated significant reduction in task execution time.
- Up to 66% reduction in task execution time observed with synthetic datasets.
- Up to 50% reduction in task execution time observed with real-world datasets.
Conclusions:
- CoxNet effectively reduces task execution time in edge computing environments.
- The architecture enhances efficiency by enabling computation reuse for dependent tasks.
- CoxNet offers a viable solution for managing computation-intensive services on edge servers.
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