An implementation of task processing on 4G-based mobile-edge computing systems
Mobile Edge Computing (MEC) is a new technology that facilitates low-latency cloud services to mobile devices (MDs) by pushing mobile computing, storage and network control to the network edge (closer to MDs), thereby prolonging the battery lifetime of MDs. One of the main objectives of MEC is to re...
| Author: | |
|---|---|
| Format: | master thesis |
| Publication Date: | 2019 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/168733 |
| Online Access: | https://hdl.handle.net/2117/168733 |
| Access Level: | Open access |
| Keyword: | Mobile communication systems Cloud computing MEC Mobile Edge Computing LTE Task offloading Comunicacions mòbils, Sistemes de Computació en núvol Àrees temàtiques de la UPC::Enginyeria de la telecomunicació |
| Summary: | Mobile Edge Computing (MEC) is a new technology that facilitates low-latency cloud services to mobile devices (MDs) by pushing mobile computing, storage and network control to the network edge (closer to MDs), thereby prolonging the battery lifetime of MDs. One of the main objectives of MEC is to reduce latency and permit delay-sensitive applications in 4G and in the future, 5G communications. To achieve this feat, MEC aims to build up a computing platform by deploying edge servers (ESs) on the network edge. There is, therefore, a push to test the MEC performance on existin |
|---|