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https://hdl.handle.net/20.500.14279/13712| Τίτλος: | An effective resource management approach in a FaaS environment | Συγγραφείς: | Andreou, Andreas S. Christoforou, Andreas |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Genetic algorithms;Natural resources management | Ημερομηνία Έκδοσης: | 21-Δεκ-2018 | Πηγή: | European Symposium on Serverless Computing and Applications, Zurich, Switzerland, 21 December 2018 | Volume: | 2330 | Conference: | European Symposium on Serverless Computing and Applications | Περίληψη: | Serverless computing introduces a new Cloud service which consist an increasingly popular architecture for building distributed applications. This paper investigates and proposes a new resource management approach in a FaaS platform, based on intelligent techniques. A number of experiments applied through an indicative framework consisting of a client application and a Lambda function. Three Genetic Algorithms were employed to deliver optimal solutions in a multi-objective environment. | URI: | https://hdl.handle.net/20.500.14279/13712 | Rights: | © 2019 CEUR-WS | Type: | Conference Papers | Affiliation: | Cyprus University of Technology | Publication Type: | Peer Reviewed |
| Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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