Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of functionexecution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk

Allocation Priority Policies for Serverless Function-Execution Scheduling Optimisation

Giuseppe De Palma;Saverio Giallorenzo;Gianluigi Zavattaro
2020

Abstract

Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of functionexecution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk
2020
Service-Oriented Computing - 18th International Conference, {ICSOC} 2020, Dubai, United Arab Emirates, December 14-17, 2020, Proceedings
416
430
Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro, Gianluigi Zavattaro
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/784516
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