Abstract
Cloud latency has critical influences on the success of cloud applications. Therefore, characterizing cloud network performance is crucial for analyzing and satisfying different latency requirements. By focusing on the cloud's outbound network latency, this case study on Google App Engine confirms the necessity of optimizing application deployment. More importantly, our modeling effort has established a divide-and-conquer framework to address the complexity in understanding and investigating the cloud latency.
Original language | English |
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Title of host publication | Proceedings of the 2020 IEEE Cloud Summit |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 172-173 |
Number of pages | 2 |
ISBN (Electronic) | 9781728182667 |
ISBN (Print) | 9781728182674 |
DOIs | |
Publication status | Published - 15 Dec 2020 |
Externally published | Yes |
Event | 2020 IEEE Cloud Summit - Duration: 21 Oct 2020 → 22 Oct 2020 |
Publication series
Name | Proceedings of the Cloud Summit |
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Conference
Conference | 2020 IEEE Cloud Summit |
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Period | 21/10/2020 → 22/10/2020 |
Bibliographical note
Funding Information:This work is supported in part by Chilean National Commission for Scientific and Technological Research (CONICYT, Chile) under Grant FONDECYT Iniciación 11180905.
Publisher Copyright:
© 2020 IEEE.
Keywords
- Cloud application
- Data transmission
- Geographical location
- Internet topology
- Outbound network latency
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Control and Optimization