Overbooking lambda functions in the cloud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We consider the problem of scheduling serverless-computing instances such as Amazon Lambda functions. Instead of a quota per tenant/customer, we assume demand for Lambda functions is modulated by token-bucket mechanisms per tenant. Such quotas are due to, e.g., limited resources (as in a fog/edge-cloud context) or to prevent excessive unauthorized invocation of numerous instances by malware. Based on an upper bound on the stationary number of active “Lambda servers" considering the execution-time distribution of Lambda functions, we describe an approach that the cloud could use to overbook Lambda functions for improved utilization of IT resources. An earlier bound for a single service tier is extended to multiple service tiers.

Original languageEnglish (US)
Title of host publicationWOC 2019 - Proceedings of the 2019 5th International Workshop on Container Technologies and Container Clouds, Part of Middleware 2019
PublisherAssociation for Computing Machinery, Inc
Pages1-6
Number of pages6
ISBN (Electronic)9781450370332
DOIs
StatePublished - Dec 9 2019
Event5th International Workshop on Container Technologies and Container Clouds, WOC 2019 - Part of Middleware 2019 - Davis, United States
Duration: Dec 9 2019Dec 13 2019

Publication series

NameWOC 2019 - Proceedings of the 2019 5th International Workshop on Container Technologies and Container Clouds, Part of Middleware 2019

Conference

Conference5th International Workshop on Container Technologies and Container Clouds, WOC 2019 - Part of Middleware 2019
Country/TerritoryUnited States
CityDavis
Period12/9/1912/13/19

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems

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