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The serverless scheduling problem poses a new challenge to Cloud service platform providers because it is rather a job scheduling problem than a traditional resource allocation or request load balancing problem.
Noncooperative load balancing in distributed systems
2005
Earlier work this paper cites.
Cooperative load balancing in distributed systems
2008
Earlier work this paper cites.
Building an elastic cloud out of small datacenters
2013
Earlier work this paper cites.
Multi-objective game theoretic schedulingof bag-of-tasks workflows on hybrid clouds
2014
Cited alongside, same era.
Integrating queueing theory and scheduling for dynamic scheduling problems
2014
Cited alongside, same era.
30% of Servers are Sitting ”Comatose”
2015
Cited alongside, same era.
https://aws.amazon.com/lambda/
AWS Lambda - Serverless Compute
Cited in the paper.
https://azure.microsoft.com/en-us/services/functions/
Azure Functions-Serverless Architecture — Microsoft Azure
Cited in the paper.
Functions as a Service (FaaS)
Cited in the paper.
https://fission.io/
Fission - Serevrless Functions for Kubernetes
Cited in the paper.
https://cloud.google.com/functions/
Google Cloud Functions
Cited in the paper.
https://www.ibm.com/cloud/functions
IBM Cloud Functions
Cited in the paper.
Zombie/Comatose Server Redux
Cited in the paper.
http://kubeless.io
Kubeless - The Kubernetes Native Serverless Framework
Cited in the paper.
An architectural view of apache OpenWhisk
Cited in the paper.
A taxonomy of job scheduling on distributed computing systems
2016
Later among the works it cites.
Smoothed online resource allocation in multi-tier distributed cloud networks
2017
Later among the works it cites.
Serverless computing: Design, implementation, and performance
2017
Later among the works it cites.
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