Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13712
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Andreou, Andreas S. | - |
dc.contributor.author | Christoforou, Andreas | - |
dc.date.accessioned | 2019-05-22T09:31:38Z | - |
dc.date.available | 2019-05-22T09:31:38Z | - |
dc.date.issued | 2018-12-21 | - |
dc.identifier.citation | European Symposium on Serverless Computing and Applications, Zurich, Switzerland, 21 December 2018 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/13712 | - |
dc.description.abstract | 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. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights | © 2019 CEUR-WS | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Natural resources management | en_US |
dc.title | An effective resource management approach in a FaaS environment | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Electrical Engineering - Electronic Engineering - Information Engineering | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | European Symposium on Serverless Computing and Applications | en_US |
dc.identifier.scopus | 2-s2.0-85063301718 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85063301718 | en |
dc.contributor.orcid | #NODATA# | en |
dc.contributor.orcid | #NODATA# | en |
dc.relation.volume | 2330 | en_US |
cut.common.academicyear | 2018-2019 | en_US |
item.openairetype | conferenceObject | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.grantfulltext | none | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0001-7104-2097 | - |
crisitem.author.orcid | 0000-0001-5598-8894 | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
CORE Recommender
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.