| dc.contributor.author | Skirelis, Julius | |
| dc.contributor.author | Navakauskas, Dalius | |
| dc.date.accessioned | 2023-09-18T17:01:04Z | |
| dc.date.available | 2023-09-18T17:01:04Z | |
| dc.date.issued | 2017 | |
| dc.identifier.other | (BIS)25771759 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/118971 | |
| dc.description.abstract | Edge computing, the subsidiary model of Cloud computing, is aiming to push computational resources closer to the edge of network. Its objectives are to improve network latency and ensure efficiency of performed tasks. However Internet of Things (IoT) devices usually are of limited processing power or/and connecting to network episodically, mostly due to power saving necessity and mobility. Thus in the paper investigation of the performance of edge computing for IoT is presented. Multiple simulations by EdgeNetworkCloudSim of different topologies, their parameters, together with considered IoT device primary limitations, are carried out. Simulation results confirm the specificity of edge computations for IoT and gives some practical insights. | eng |
| dc.format | PDF | |
| dc.format.extent | p. 1-4 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.relation.isreferencedby | Scopus | |
| dc.relation.isreferencedby | IEEE Xplore | |
| dc.relation.isreferencedby | Conference Proceedings Citation Index - Science (Web of Science) | |
| dc.source.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8270555 | |
| dc.subject | IK02 - Išmaniosios komunikacijų technologijos / Smart communication technologies | |
| dc.title | Edge computing in IoT: preliminary results on modeling and performance analysis | |
| dc.type | Straipsnis konferencijos darbų leidinyje Web of Science DB / Paper in conference publication in Web of Science DB | |
| dcterms.accessRights | http://ieeexplore.ieee.org/document/8270555/ | |
| dcterms.references | 19 | |
| dc.type.pubtype | P1a - Straipsnis konferencijos darbų leidinyje Web of Science DB / Article in conference proceedings Web of Science DB | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.faculty | Elektronikos fakultetas / Faculty of Electronics | |
| dc.subject.researchfield | T 001 - Elektros ir elektronikos inžinerija / Electrical and electronic engineering | |
| dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | Edge computing | |
| dc.subject.en | Cloud computing | |
| dc.subject.en | Internet of things | |
| dcterms.sourcetitle | The 5th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE’2017), Riga, Latvia, November 24–25, 2017 : proceedings | |
| dc.publisher.name | IEEE | |
| dc.publisher.city | New York | |
| dc.identifier.doi | 000428137800033 | |
| dc.identifier.doi | 2-s2.0-85050632665 | |
| dc.identifier.doi | 10.1109/AIEEE.2017.8270555 | |
| dc.identifier.elaba | 25809494 | |