A research on resource allocation algorithms in content of edge, fog and cloud

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dc.authorscopusid57236203000
dc.authorscopusid15123190100
dc.contributor.authorTay, M.
dc.contributor.authorŞentürk, Arafat
dc.date.accessioned2023-07-26T11:58:57Z
dc.date.available2023-07-26T11:58:57Z
dc.date.issued2022
dc.departmentDÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractThe importance of the big data concept, which emerged with the developments in the Internet of Things (IoT) field and the increase in the number of devices connected to the Internet, is increasing day by day. To achieve the expected improvement in speed, bandwidth, and delay with the new generation cellular technology (5G), the necessary software and hardware studies in this area gain importance. With the new generation of network technology, the number of sensors used in mission-critical and delay-sensitive systems is also increasing. Fog and edge computing technologies can offer effective solutions in solving the problems (latency, bandwidth, energy consumption) brought about by this increase. These technologies, developed for the analysis, storage, rationalization, and calculation of big data, address the distributed network structure rather than the centralized network structure. In addition, thanks to its proximity to the point where the data is generated, it is seen that it produces important solutions for delay, energy-saving, and effective use of bandwidth. Working between IoT and Cloud (big data storage and processing centers like Hadoop, Spark, Flink, etc.), effective resource allocation (RA) is an important problem for this systems to produce effective solutions in real-time data processing and response. In this study, optimization algorithms developed for RA are mentioned. Advantages and disadvantages are expressed through analyzing the studies examined, the purpose of use, calculation tool, the method, and comparison criteria. © 2022en_US
dc.identifier.doi10.1016/j.matpr.2022.11.232
dc.identifier.issn2214-7853
dc.identifier.scopus2-s2.0-85143271298en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1016/j.matpr.2022.11.232
dc.identifier.urihttps://hdl.handle.net/20.500.12684/13605
dc.indekslendigikaynakScopusen_US
dc.institutionauthorTay, M.
dc.institutionauthorŞentürk, Arafat
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofMaterials Today: Proceedingsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectCloud computingen_US
dc.subjectEdge computingen_US
dc.subjectFog computingen_US
dc.subjectInternet of Thingsen_US
dc.subjectResource allocationen_US
dc.subject5G mobile communication systemsen_US
dc.subjectBandwidthen_US
dc.subjectBig dataen_US
dc.subjectData handlingen_US
dc.subjectDelay-sensitive applicationsen_US
dc.subjectDigital storageen_US
dc.subjectEdge computingen_US
dc.subjectEnergy conservationen_US
dc.subjectEnergy utilizationen_US
dc.subjectFogen_US
dc.subjectInternet of thingsen_US
dc.subjectResource allocationen_US
dc.subjectCellular technologiesen_US
dc.subjectCloud-computingen_US
dc.subjectEdge computingen_US
dc.subjectEffective solutionen_US
dc.subjectExpected improvementsen_US
dc.subjectMission criticalen_US
dc.subjectNetwork technologiesen_US
dc.subjectResource allocation algorithmsen_US
dc.subjectResources allocationen_US
dc.subjectSoftware and hardwaresen_US
dc.subjectFog computingen_US
dc.titleA research on resource allocation algorithms in content of edge, fog and clouden_US
dc.typeArticleen_US

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