Adaptive Service Placement, Task Offloading and Bandwidth Allocation in Task-Oriented URLLC Edge Networks
Recently, the advances of low-latency communication technologies and edge intelligence have enabled a wide range of task-oriented time-sensitive applications. This paper aims at designing adaptive service placement, task offloading, and bandwidth allocation for ultra-reliable and low-latency communi...
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Published in | IEEE International Conference on Communications (2003) pp. 5755 - 5760 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
28.05.2023
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Subjects | |
Online Access | Get full text |
ISSN | 1938-1883 |
DOI | 10.1109/ICC45041.2023.10279120 |
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Abstract | Recently, the advances of low-latency communication technologies and edge intelligence have enabled a wide range of task-oriented time-sensitive applications. This paper aims at designing adaptive service placement, task offloading, and bandwidth allocation for ultra-reliable and low-latency communication (URLLC)-aided edge networks. The main objective is to minimise both the total end-to-end (e2e) latency and number of installed services at edge servers. The optimal solutions are obtained by jointly optimising service placement decisions, task offloading portions and bandwidth allocation at dynamic timescales subject to network budgets and application requirements under uncertain environment. Selective simulation results are provided to validate the effectiveness of the proposed solution in term of reducing the latency as well as optimising service placement decisions. |
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AbstractList | Recently, the advances of low-latency communication technologies and edge intelligence have enabled a wide range of task-oriented time-sensitive applications. This paper aims at designing adaptive service placement, task offloading, and bandwidth allocation for ultra-reliable and low-latency communication (URLLC)-aided edge networks. The main objective is to minimise both the total end-to-end (e2e) latency and number of installed services at edge servers. The optimal solutions are obtained by jointly optimising service placement decisions, task offloading portions and bandwidth allocation at dynamic timescales subject to network budgets and application requirements under uncertain environment. Selective simulation results are provided to validate the effectiveness of the proposed solution in term of reducing the latency as well as optimising service placement decisions. |
Author | Khosravirad, Saeed R. Dobre, Octavia A. Duong, Trung Q. Nguyen, Van-Dinh Van Huynh, Dang |
Author_xml | – sequence: 1 givenname: Dang surname: Van Huynh fullname: Van Huynh, Dang email: dhuynh01@qub.ac.uk organization: Queen's University,Belfast,UK – sequence: 2 givenname: Van-Dinh surname: Nguyen fullname: Nguyen, Van-Dinh email: dinh.nv2@vinuni.edu.vn organization: VinUniversity,Vietnam – sequence: 3 givenname: Octavia A. surname: Dobre fullname: Dobre, Octavia A. email: odobre@mun.ca organization: Memorial University,Canada – sequence: 4 givenname: Saeed R. surname: Khosravirad fullname: Khosravirad, Saeed R. email: saeed.khosravirad@nokia-bell-labs.com organization: Nokia Bell Labs,Murray Hill,USA – sequence: 5 givenname: Trung Q. surname: Duong fullname: Duong, Trung Q. email: trung.q.duong@qub.ac.uk organization: Queen's University,Belfast,UK |
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Snippet | Recently, the advances of low-latency communication technologies and edge intelligence have enabled a wide range of task-oriented time-sensitive applications.... |
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SubjectTerms | Adaptive systems Channel allocation Dynamic scheduling Mobile edge computing Resource management Servers service placement Simulation task offloading tasked-oriented communication Ultra reliable low latency communication ultra-reliable and low latency communications |
Title | Adaptive Service Placement, Task Offloading and Bandwidth Allocation in Task-Oriented URLLC Edge Networks |
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