Publication: A Review of Resource Allocation and Management Methods in IoT
| dc.authorscopusid | 57214011617 | |
| dc.authorscopusid | 15833929800 | |
| dc.contributor.author | Karakaya, A. | |
| dc.contributor.author | Akleylek, S. | |
| dc.date.accessioned | 2025-12-11T00:29:51Z | |
| dc.date.issued | 2022 | |
| dc.department | Ondokuz Mayıs Üniversitesi | en_US |
| dc.department-temp | [Karakaya] Aykut, Department of Computer Engineering, Zonguldak Bulent Ecevit University, Zonguldak, Zonguldak, Turkey; [Akleylek] Sedat, Department of Computer Engineering, Ondokuz Mayis Üniversitesi, Samsun, Turkey | en_US |
| dc.description.abstract | IoT systems are one of the most important areas of developing technology. IoT application solutions are becoming widespread and their usage areas are expanding. Therefore, studies to develop IoT technologies are also increasing. Although the benefits of developing technology are enormous, it includes some difficulties. One of the most important challenges in IoT systems is resource allocation and management. Cloud, fog, or edge computing methods are used for storage and computing processes in IoT applications. Data perceived from resource-constrained devices reach these computing nodes. Resource allocation and management must be made in the cloud, fog, or edge nodes for computing and storage. The correct and complete resource allocation and management are very important for the performance of the system. Numerous methods are proposed for this. Artificial intelligence-based methods are one of them. This study examines IoT resource allocation and management. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. | en_US |
| dc.identifier.doi | 10.1007/978-3-030-76653-5_22 | |
| dc.identifier.endpage | 429 | en_US |
| dc.identifier.isbn | 9783642274664 | |
| dc.identifier.isbn | 9783642333194 | |
| dc.identifier.isbn | 9783642311390 | |
| dc.identifier.isbn | 9783642226601 | |
| dc.identifier.isbn | 9783642226663 | |
| dc.identifier.isbn | 9783642107030 | |
| dc.identifier.isbn | 9783642286667 | |
| dc.identifier.isbn | 9783642366567 | |
| dc.identifier.isbn | 9783642210037 | |
| dc.identifier.isbn | 9783642232404 | |
| dc.identifier.issn | 1868-4394 | |
| dc.identifier.issn | 1868-4408 | |
| dc.identifier.scopus | 2-s2.0-85114093712 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 409 | en_US |
| dc.identifier.uri | https://doi.org/10.1007/978-3-030-76653-5_22 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/36809 | |
| dc.identifier.volume | 210 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
| dc.relation.ispartof | Intelligent Systems Reference Library | en_US |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | A Review of Resource Allocation and Management Methods in IoT | en_US |
| dc.type | Book Part | en_US |
| dspace.entity.type | Publication |
