Projects per year
Abstract
Cloud computing is a major breakthrough in enabling multi-user scalable web services, process offloading and infrastructure cost savings. However, public clouds impose high network latency which became a bottleneck for real time applications such as mobile augmented reality applications. A widely accepted solution is to move latency sensitive services from the centralized cloud to the edge of the Internet, close to service users. An important prerequisite for deploying applications at the edge is determining initial required edge capacity. However, little has been done to provide reliable estimates of required computing capacity under Quality-of-Service (QoS) constraints. Differently from previous works that focus only on applications' CPU usage, in this paper, we propose a novel, queuing theory based edge capacity planning solution that takes into account both CPU and GPU usages of real-time compute-intensive applications. Our solution satisfies the QoS requirements in terms of response delays while minimizing the number of required edge computing nodes, assuming that the nodes are with fixed CPU/GPU capacity. We demonstrate the applicability and accuracy of our solution through extensive evaluation, including a case study using real-life applications. The results show that our solution maximizes the resource utilization through intelligent combinations of service requests, and can accurately estimate the minimal amount of CPU and GPU capacity required for satisfying the QoS requirements.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE International Conference on Fog Computing, ICFC 2019 |
Publisher | IEEE |
Pages | 175-184 |
Number of pages | 10 |
ISBN (Electronic) | 9781728132365 |
DOIs | |
Publication status | Published - 1 Jun 2019 |
MoE publication type | A4 Conference publication |
Event | IEEE International Conference on Fog Computing - Prague, Czech Republic Duration: 24 Jun 2019 → 26 Jun 2019 Conference number: 1 |
Conference
Conference | IEEE International Conference on Fog Computing |
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Abbreviated title | ICFC |
Country/Territory | Czech Republic |
City | Prague |
Period | 24/06/2019 → 26/06/2019 |
Keywords
- Augmented reality
- Capacity planning
- Edge computing
- GPU
- Queueing theory
Fingerprint
Dive into the research topics of 'Edge capacity planning for real time compute-intensive applications'. Together they form a unique fingerprint.Projects
- 2 Finished
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DataFog: A Data-Driven Platform for Capacity and Resource Management in Vehicular Fog Computing
Xiao, Y. (Principal investigator)
01/01/2019 → 31/12/2022
Project: Academy of Finland: Other research funding
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5G-MOBIX: 5G for cooperative & connected automated MOBIility on X-border corridors
Xiao, Y. (Principal investigator)
01/11/2018 → 30/09/2022
Project: EU: Framework programmes funding