Analytical Model to Optimize the Cost of Resource Reservation in a Client-Server Scenario
Summary :
In an empowered Internet with end-to-end Quality of Service (QoS) facilities, it is essential for content servers to minimize reserved network resources to achieve a reduction in transmission cost for the use of QoS. Resource reservation usage charging forces customers to efficiently use network resources. In this paper, we analyze a model that optimizes the total cost when semi-elastic traffic flows are delivered in a client-server scenario. The client uses the proposed analytical model to easily control its buffer occupancy and to determine at any time if it is needed to utilize resource reservation or best-effort transmission mode.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E88-B No.7 pp.2879-2886
- Publication Date
- 2005/07/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietcom/e88-b.7.2879
- Type of Manuscript
- PAPER
- Category
- Network
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Marcos POSTIGO-BOIX, Joan GARCIA-HARO, Jose Luis MELUS-MORENO, "Analytical Model to Optimize the Cost of Resource Reservation in a Client-Server Scenario" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 7, pp. 2879-2886, July 2005, doi: 10.1093/ietcom/e88-b.7.2879.
Abstract: In an empowered Internet with end-to-end Quality of Service (QoS) facilities, it is essential for content servers to minimize reserved network resources to achieve a reduction in transmission cost for the use of QoS. Resource reservation usage charging forces customers to efficiently use network resources. In this paper, we analyze a model that optimizes the total cost when semi-elastic traffic flows are delivered in a client-server scenario. The client uses the proposed analytical model to easily control its buffer occupancy and to determine at any time if it is needed to utilize resource reservation or best-effort transmission mode.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.7.2879/_p
Copy
@ARTICLE{e88-b_7_2879,
author={Marcos POSTIGO-BOIX, Joan GARCIA-HARO, Jose Luis MELUS-MORENO, },
journal={IEICE TRANSACTIONS on Communications},
title={Analytical Model to Optimize the Cost of Resource Reservation in a Client-Server Scenario},
year={2005},
volume={E88-B},
number={7},
pages={2879-2886},
abstract={In an empowered Internet with end-to-end Quality of Service (QoS) facilities, it is essential for content servers to minimize reserved network resources to achieve a reduction in transmission cost for the use of QoS. Resource reservation usage charging forces customers to efficiently use network resources. In this paper, we analyze a model that optimizes the total cost when semi-elastic traffic flows are delivered in a client-server scenario. The client uses the proposed analytical model to easily control its buffer occupancy and to determine at any time if it is needed to utilize resource reservation or best-effort transmission mode.},
keywords={},
doi={10.1093/ietcom/e88-b.7.2879},
ISSN={},
month={July},}
Copy
TY - JOUR
TI - Analytical Model to Optimize the Cost of Resource Reservation in a Client-Server Scenario
T2 - IEICE TRANSACTIONS on Communications
SP - 2879
EP - 2886
AU - Marcos POSTIGO-BOIX
AU - Joan GARCIA-HARO
AU - Jose Luis MELUS-MORENO
PY - 2005
DO - 10.1093/ietcom/e88-b.7.2879
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2005
AB - In an empowered Internet with end-to-end Quality of Service (QoS) facilities, it is essential for content servers to minimize reserved network resources to achieve a reduction in transmission cost for the use of QoS. Resource reservation usage charging forces customers to efficiently use network resources. In this paper, we analyze a model that optimizes the total cost when semi-elastic traffic flows are delivered in a client-server scenario. The client uses the proposed analytical model to easily control its buffer occupancy and to determine at any time if it is needed to utilize resource reservation or best-effort transmission mode.
ER -
English
