Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network
(2017) 1st IEEE International Conference on Fog and Edge Computing (ICFEC’2017)- Abstract
- The Mobile Cloud Network is an emerging cost and capacity heterogeneous distributed cloud topological paradigm that aims to remedy the application performance constraints imposed by centralised cloud infrastructures. A centralised cloud infrastructure and the adjoining Telecom network will struggle to accommodate the exploding amount of traffic generated by forthcoming highly interactive applications. Cost effectively managing a Mobile Cloud Network computing infrastructure while meeting individual application’s performance goals is non- trivial and is at the core of our contribution. Due to the scale of a Mobile Cloud Network, a centralised approach is infeasible. Therefore, in this paper a distributed algorithm that addresses these... (More)
- The Mobile Cloud Network is an emerging cost and capacity heterogeneous distributed cloud topological paradigm that aims to remedy the application performance constraints imposed by centralised cloud infrastructures. A centralised cloud infrastructure and the adjoining Telecom network will struggle to accommodate the exploding amount of traffic generated by forthcoming highly interactive applications. Cost effectively managing a Mobile Cloud Network computing infrastructure while meeting individual application’s performance goals is non- trivial and is at the core of our contribution. Due to the scale of a Mobile Cloud Network, a centralised approach is infeasible. Therefore, in this paper a distributed algorithm that addresses these challenges is presented. The presented approach works towards meeting individual application’s performance objectives, constricting system-wide operational cost, and mitigating re- source usage skewness. The presented distributed algorithm does so by iteratively and independently acting on the objectives of each component with a common heuristic objective function. Sys- tematic evaluations reveal that the presented algorithm quickly converges and performs near optimal in terms of system-wide operational cost and application performance, and significantly outperforms similar na ̈ıve and random methods. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1a996931-7ebd-4cbb-b3d7-cfdc75ba2c14
- author
- Tärneberg, William LU ; Papadopoulos Vittorio, Alessandro ; Mehta, Amardeep ; Tordsson, Johan and Kihl, Maria LU
- organization
- publishing date
- 2017
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Fog Computing, Cloud computing, telecommunication, distributed algorithm
- host publication
- International Conference of Fog and Edge Computing
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 1st IEEE International Conference on Fog and Edge Computing (ICFEC’2017)
- conference location
- Madrid, Spain
- conference dates
- 2017-04-15 - 2017-04-15
- external identifiers
-
- scopus:85030323748
- ISBN
- 978-1-5090-3047-7
- DOI
- 10.1109/ICFEC.2017.10
- language
- English
- LU publication?
- yes
- id
- 1a996931-7ebd-4cbb-b3d7-cfdc75ba2c14
- date added to LUP
- 2017-04-13 15:17:28
- date last changed
- 2022-05-02 19:03:17
@inproceedings{1a996931-7ebd-4cbb-b3d7-cfdc75ba2c14,
abstract = {{The Mobile Cloud Network is an emerging cost and capacity heterogeneous distributed cloud topological paradigm that aims to remedy the application performance constraints imposed by centralised cloud infrastructures. A centralised cloud infrastructure and the adjoining Telecom network will struggle to accommodate the exploding amount of traffic generated by forthcoming highly interactive applications. Cost effectively managing a Mobile Cloud Network computing infrastructure while meeting individual application’s performance goals is non- trivial and is at the core of our contribution. Due to the scale of a Mobile Cloud Network, a centralised approach is infeasible. Therefore, in this paper a distributed algorithm that addresses these challenges is presented. The presented approach works towards meeting individual application’s performance objectives, constricting system-wide operational cost, and mitigating re- source usage skewness. The presented distributed algorithm does so by iteratively and independently acting on the objectives of each component with a common heuristic objective function. Sys- tematic evaluations reveal that the presented algorithm quickly converges and performs near optimal in terms of system-wide operational cost and application performance, and significantly outperforms similar na ̈ıve and random methods.}},
author = {{Tärneberg, William and Papadopoulos Vittorio, Alessandro and Mehta, Amardeep and Tordsson, Johan and Kihl, Maria}},
booktitle = {{International Conference of Fog and Edge Computing}},
isbn = {{978-1-5090-3047-7}},
keywords = {{Fog Computing; Cloud computing; telecommunication; distributed algorithm}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Distributed Approach to the Holistic Resource Management of a Mobile Cloud Network}},
url = {{https://lup.lub.lu.se/search/files/23945201/FEC2017_paper_21.pdf}},
doi = {{10.1109/ICFEC.2017.10}},
year = {{2017}},
}