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- Title
FASE: fast deployment for dependent applications in serverless environments.
- Authors
Saha, Rounak; Satpathy, Anurag; Addya, Sourav Kanti
- Abstract
Function-as-a-service has reduced the user burden by allowing cloud service providers to overtake operational activities such as resource allocation, service deployment, auto-scaling, and load-balancing, to name a few. The users are only responsible for developing the business logic through event-triggered functions catering to an application. Although FaaS brings about multiple user benefits, a typical challenge in this context is the time incurred in the environmental setup of the containers on which the functions execute, often referred to as the cold-start time leading to delayed execution and quality-of-service violations. This paper presents an efficient scheduling strategy FASE that uses a finite-sized warm pool to facilitate the instantaneous execution of functions on pre-warmed containers. Test-bed evaluations over AWS Lambda confirm that FASE achieves a 40% reduction in the average cold-start time and 1.29 × speedup compared to the baselines.
- Subjects
RESOURCE allocation; CLOUD computing; LEAD time (Supply chain management); INTERNET of things
- Publication
Journal of Supercomputing, 2024, Vol 80, Issue 8, p10394
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-023-05840-w