Real-time Heterogeneous Edge Computing for Social Sensing Applications
Explore a real-time heterogeneous edge computing system for social sensing applications. Understand the benefits of social sensing-based edge computing and application task allocation in SSEC. Discover bottom-up game-theoretic task allocation and a demo of a heterogeneous edge computing platform module diagram. Join the conversation!
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Presentation Transcript
Demo Abstract: Real-time Heterogeneous Edge Computing System for Social Sensing Applications Yue Zhang, Nathan Vance, and Dong Wang Department of Computer Science and Engineering University of Notre Dame IEEE RTAS 2018, Porto, Portugal 1
Social Sensing based Edge Computing (SSEC) Edge computing pushes applications, data and computing power (services) awayfromcentralized servers (e.g., cloud) by performing data processing at the edge of the network, where social sensing occurs (near the sources of data). Advantages: Low latency and high responsiveness Low requirement on the network bandwidth 2
Application Task Allocation in SSEC When and Where should computation tasks be executed? Cooperative -ness Latency Bandwidth Consumption Computing power Power Supply Fully cooperative High High Powerful Power line Backend Server Non- cooperative Low Low Limited Battery Edge Device Backend Edge 3
Demo: Heterogenous Edge Computing Platform Module Diagram Hardware Setup 5
Thank You! Question? 6
