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Azari, E. and Koc, H. (2015) Improving Performance through Path-Based Hardware/Software Partitioning. Fifth International Conference on Digital Information Processing and Communications (ICDIPC), Sierre, 7-9 October 2015, 54-59.

has been cited by the following article:

• TITLE: Result-as-a-Service (RaaS): Persistent Helper Functions in a Serverless Offering

  AUTHORS: Arshdeep Bahga, Vijay K. Madisetti, Joel R. Corporan

  KEYWORDS: Serverless Computing, Functions-as-a-Service, Lambda Functions

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.13 No.10, October 26, 2020

  ABSTRACT: Serverless Computing or Functions-as-a-Service (FaaS) is an execution model for cloud computing environments where the cloud provider executes a piece of code (a function) by dynamically allocating resources. When a function has not been executed for a long time or is being executed for the first time, a new container has to be created, and the execution environment has to be initialized resulting in a cold start. Cold start can result in a higher latency. We propose a new computing and execution model for cloud environments called Result-as-a-Service (RaaS), which aims to reduce the computational cost and overhead while achieving high availability. In between successive calls to a function, a persistent function can help in successive calls by precomputing the functions for different possible arguments and then distributing the results when a matching function call is found.