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Towards a Client-Centric QoS Auto-Scaling System
Lin, Thomas
;
Leon-Garcia, Alberto
Angol nyelvű Konferenciaközlemény (Könyvrészlet) Tudományos
Megjelent:
IEEE. NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium: Management in the Age of Softwarization and Artificial Intelligence. (2020) ISBN:9781728149738
Paper: 9110450
Azonosítók
MTMT: 31903703
DOI:
10.1109/NOMS47738.2020.9110450
WoS:
000716920500172
Scopus:
85086762623
Many modern day cloud services are composites of multiple smaller services working correctly together. This design has become increasingly prevalent due to the rise of the microservices application architecture, as well as service chaining in Network Function Virtualization (NFV). Future composite applications and services will be deployed on multi-tier clouds where their constituent microservices may be geographically spread over different regions. To optimize the delivery of such composites, the constituent microservices must be placed in locations where their clients, which may be other microservices, are able to meet certain QoS constraints. We propose an architecture and present a prototype system for incorporating network metrics into the auto-scaling and scheduling decisions of cloud management systems. Given a service with QoS constraints, our system monitors the network metrics (e.g. latency and bandwidth) of their clients. If a particular client is unable to receive the required latency or bandwidth of the service, our system auto-scales the service and strategically places the new instance(s) in a location capable of meeting the service quality, and re-directs traffic to the new instance. © 2020 IEEE.
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2024-11-03 12:08
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Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
Nyomtatás
Másolás