Standard
Harvard
Hadley, J, El Khatib, Y, Blair, G & Roedig, U 2015,
MultiBox: lightweight containers for vendor-independent multi-cloud deployments. in R Horne (ed.),
Embracing Global Computing in Emerging Economies: First Workshop, EGC 2015, Almaty, Kazakhstan, February 26-28, 2015. Proceedings. Communications in Computer and Information Science , vol. 514, Springer Verlag, pp. 79-90.
https://doi.org/10.1007/978-3-319-25043-4_8
APA
Hadley, J., El Khatib, Y., Blair, G., & Roedig, U. (2015).
MultiBox: lightweight containers for vendor-independent multi-cloud deployments. In R. Horne (Ed.),
Embracing Global Computing in Emerging Economies: First Workshop, EGC 2015, Almaty, Kazakhstan, February 26-28, 2015. Proceedings (pp. 79-90). (Communications in Computer and Information Science ; Vol. 514). Springer Verlag.
https://doi.org/10.1007/978-3-319-25043-4_8
Vancouver
Hadley J, El Khatib Y, Blair G, Roedig U.
MultiBox: lightweight containers for vendor-independent multi-cloud deployments. In Horne R, editor, Embracing Global Computing in Emerging Economies: First Workshop, EGC 2015, Almaty, Kazakhstan, February 26-28, 2015. Proceedings. Springer Verlag. 2015. p. 79-90. (Communications in Computer and Information Science ). doi: 10.1007/978-3-319-25043-4_8
Author
Bibtex
@inproceedings{0d6d11c79ffa487fa5d7cc83facb43ad,
title = "MultiBox: lightweight containers for vendor-independent multi-cloud deployments",
abstract = "Cloud computing aims to make a large selection of sophisticated technologies available to users for deployment and migration. In reality, once a cloud service provider has been chosen, migration is often a costly and time-consuming process. This paper presents MultiBox, a lightweight container technology that facilitates flexible vendor-independent migration. Our framework allows its users to deploy and migrate almost any application in its normal state with minimal computational and network resource overheads. We show that the performance overhead of deploying within a lightweight container is 4.90% of the resources available to an average VM and downtime during a migration is less than the time needed to scale a server using provider-centric tools.",
keywords = "Cloud computing, Multi-cloud systems, Containers, Workload migration",
author = "James Hadley and {El Khatib}, Yehia and Gordon Blair and Utz Roedig",
year = "2015",
month = nov,
day = "21",
doi = "10.1007/978-3-319-25043-4_8",
language = "English",
isbn = "9783319250427",
series = "Communications in Computer and Information Science ",
publisher = "Springer Verlag",
pages = "79--90",
editor = "Ross Horne",
booktitle = "Embracing Global Computing in Emerging Economies",
}
RIS
TY - GEN
T1 - MultiBox
T2 - lightweight containers for vendor-independent multi-cloud deployments
AU - Hadley, James
AU - El Khatib, Yehia
AU - Blair, Gordon
AU - Roedig, Utz
PY - 2015/11/21
Y1 - 2015/11/21
N2 - Cloud computing aims to make a large selection of sophisticated technologies available to users for deployment and migration. In reality, once a cloud service provider has been chosen, migration is often a costly and time-consuming process. This paper presents MultiBox, a lightweight container technology that facilitates flexible vendor-independent migration. Our framework allows its users to deploy and migrate almost any application in its normal state with minimal computational and network resource overheads. We show that the performance overhead of deploying within a lightweight container is 4.90% of the resources available to an average VM and downtime during a migration is less than the time needed to scale a server using provider-centric tools.
AB - Cloud computing aims to make a large selection of sophisticated technologies available to users for deployment and migration. In reality, once a cloud service provider has been chosen, migration is often a costly and time-consuming process. This paper presents MultiBox, a lightweight container technology that facilitates flexible vendor-independent migration. Our framework allows its users to deploy and migrate almost any application in its normal state with minimal computational and network resource overheads. We show that the performance overhead of deploying within a lightweight container is 4.90% of the resources available to an average VM and downtime during a migration is less than the time needed to scale a server using provider-centric tools.
KW - Cloud computing
KW - Multi-cloud systems
KW - Containers
KW - Workload migration
U2 - 10.1007/978-3-319-25043-4_8
DO - 10.1007/978-3-319-25043-4_8
M3 - Conference contribution/Paper
SN - 9783319250427
T3 - Communications in Computer and Information Science
SP - 79
EP - 90
BT - Embracing Global Computing in Emerging Economies
A2 - Horne, Ross
PB - Springer Verlag
ER -
