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Open AccessArticle

On Implementing Autonomic Systems with a Serverless Computing Approach: The Case of Self-Partitioning Cloud Caches

Escuela Superior Politecnica del Litoral, Guayaquil EC090112, Ecuador
College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in the Workshop on Self-Aware Computing (SeAC), held in conjunction with Foundations and Applications of Self* Systems (FAS* 2019).
Computers 2020, 9(1), 14;
Received: 12 January 2020 / Revised: 19 February 2020 / Accepted: 23 February 2020 / Published: 26 February 2020
(This article belongs to the Special Issue Applications in Self-Aware Computing Systems and their Evaluation)
The research community has made significant advances towards realizing self-tuning cloud caches; notwithstanding, existing products still require manual expert tuning to maximize performance. Cloud (software) caches are built to swiftly serve requests; thus, avoiding costly functionality additions not directly related to the request-serving control path is critical. We show that serverless computing cloud services can be leveraged to solve the complex optimization problems that arise during self-tuning loops and can be used to optimize cloud caches for free. To illustrate that our approach is feasible and useful, we implement SPREDS (Self-Partitioning REDiS), a modified version of Redis that optimizes memory management in the multi-instance Redis scenario. A cost analysis shows that the serverless computing approach can lead to significant cost savings: The cost of running the controller as a serverless microservice is 0.85% of the cost of the always-on alternative. Through this case study, we make a strong case for implementing the controller of autonomic systems using a serverless computing approach. View Full-Text
Keywords: self-tuning; cloud computing; serverless computing; autonomic controller self-tuning; cloud computing; serverless computing; autonomic controller
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Boza, E.F.; Andrade, X.; Cedeno, J.; Murillo, J.; Aragon, H.; Abad, C.L.; Abad, A.G. On Implementing Autonomic Systems with a Serverless Computing Approach: The Case of Self-Partitioning Cloud Caches. Computers 2020, 9, 14.

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