Server Provisioning in Content Delivery Clouds

Kianoosh Mokhtarian; Hans Arno Jacobsen

doi:10.1109/CLOUD.2015.19

Server Provisioning in Content Delivery Clouds

Kianoosh Mokhtarian
, Hans Arno Jacobsen

University of Toronto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Cloud based video delivery platforms serve a significant fraction of the entire Internet traffic and are continuously expanding with the growing demand. We study the provisioning of the server cluster to deploy at each location in such systems. We optimize the right server count, peering bandwidth, and server configuration as the disk size and the necessary SSD and/or RAM caches to sustain the intensive I/O load. Our analyses are based on actual server traces from a global content delivery platform. Our optimization captures the interaction of cache layers in each server, the interplay between egress/disk capacity and network bandwidth, storage read/write constraints and storage prices.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015
Editors	Calton Pu, Ajay Mohindra
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	65-72
Number of pages	8
ISBN (Electronic)	9781467372879
DOIs	https://doi.org/10.1109/CLOUD.2015.19
State	Published - 19 Aug 2015
Externally published	Yes
Event	8th IEEE International Conference on Cloud Computing, CLOUD 2015 - New York, United States Duration: 27 Jun 2015 → 2 Jul 2015

Publication series

Name	Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015

Conference

Conference	8th IEEE International Conference on Cloud Computing, CLOUD 2015
Country/Territory	United States
City	New York
Period	27/06/15 → 2/07/15

Keywords

Resource allocation
Video content delivery network

Access to Document

10.1109/CLOUD.2015.19

Cite this

Mokhtarian, K., & Jacobsen, H. A. (2015). Server Provisioning in Content Delivery Clouds. In C. Pu, & A. Mohindra (Eds.), Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015 (pp. 65-72). Article 7214029 (Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CLOUD.2015.19

Mokhtarian, Kianoosh ; Jacobsen, Hans Arno. / Server Provisioning in Content Delivery Clouds. Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015. editor / Calton Pu ; Ajay Mohindra. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 65-72 (Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015).

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title = "Server Provisioning in Content Delivery Clouds",

abstract = "Cloud based video delivery platforms serve a significant fraction of the entire Internet traffic and are continuously expanding with the growing demand. We study the provisioning of the server cluster to deploy at each location in such systems. We optimize the right server count, peering bandwidth, and server configuration as the disk size and the necessary SSD and/or RAM caches to sustain the intensive I/O load. Our analyses are based on actual server traces from a global content delivery platform. Our optimization captures the interaction of cache layers in each server, the interplay between egress/disk capacity and network bandwidth, storage read/write constraints and storage prices.",

keywords = "Resource allocation, Video content delivery network",

author = "Kianoosh Mokhtarian and Jacobsen, \{Hans Arno\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th IEEE International Conference on Cloud Computing, CLOUD 2015 ; Conference date: 27-06-2015 Through 02-07-2015",

year = "2015",

month = aug,

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doi = "10.1109/CLOUD.2015.19",

language = "English",

series = "Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015",

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Mokhtarian, K & Jacobsen, HA 2015, Server Provisioning in Content Delivery Clouds. in C Pu & A Mohindra (eds), Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015., 7214029, Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015, Institute of Electrical and Electronics Engineers Inc., pp. 65-72, 8th IEEE International Conference on Cloud Computing, CLOUD 2015, New York, United States, 27/06/15. https://doi.org/10.1109/CLOUD.2015.19

Server Provisioning in Content Delivery Clouds. / Mokhtarian, Kianoosh; Jacobsen, Hans Arno.
Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015. ed. / Calton Pu; Ajay Mohindra. Institute of Electrical and Electronics Engineers Inc., 2015. p. 65-72 7214029 (Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - Cloud based video delivery platforms serve a significant fraction of the entire Internet traffic and are continuously expanding with the growing demand. We study the provisioning of the server cluster to deploy at each location in such systems. We optimize the right server count, peering bandwidth, and server configuration as the disk size and the necessary SSD and/or RAM caches to sustain the intensive I/O load. Our analyses are based on actual server traces from a global content delivery platform. Our optimization captures the interaction of cache layers in each server, the interplay between egress/disk capacity and network bandwidth, storage read/write constraints and storage prices.

AB - Cloud based video delivery platforms serve a significant fraction of the entire Internet traffic and are continuously expanding with the growing demand. We study the provisioning of the server cluster to deploy at each location in such systems. We optimize the right server count, peering bandwidth, and server configuration as the disk size and the necessary SSD and/or RAM caches to sustain the intensive I/O load. Our analyses are based on actual server traces from a global content delivery platform. Our optimization captures the interaction of cache layers in each server, the interplay between egress/disk capacity and network bandwidth, storage read/write constraints and storage prices.

KW - Resource allocation

KW - Video content delivery network

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DO - 10.1109/CLOUD.2015.19

M3 - Conference contribution

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BT - Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015

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Mokhtarian K, Jacobsen HA. Server Provisioning in Content Delivery Clouds. In Pu C, Mohindra A, editors, Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 65-72. 7214029. (Proceedings - 2015 IEEE 8th International Conference on Cloud Computing, CLOUD 2015). doi: 10.1109/CLOUD.2015.19

Server Provisioning in Content Delivery Clouds

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Keywords

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