Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Implementing migration-aware virtual machines

Al Said, Taimur and Rana, Omer ORCID: https://orcid.org/0000-0003-3597-2646 2015. Implementing migration-aware virtual machines. Presented at: IEEE 2nd International Conference on Cyber Security and Cloud Computing, New York, NY, 3-5 November 2015. Cyber Security and Cloud Computing (CSCloud), 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing. 2015 IEEE 2nd International Conference on Cyber Security and Cloud Computing IEEE Conference Publications, pp. 54-61. 10.1109/CSCloud.2015.92

Full text not available from this repository.

Abstract

Virtual Machines hosted in cloud systems are susceptible to migration usually without notifying the cloud consumer. This is generally undertaken to load balance user requests across multiple data centres, often without direct awareness of the user. Migration could be to a regional site or to a data centre in another geographical area, i.e. to a country which has non-conforming laws with regards to data privacy. This concern becomes even more significant when a cloud federation is considered, where a number of different providers may need to work together. It is therefore necessary to develop a mechanism that enables a user to detect if migration of a VM has happened. More importantly, such a mechanism should be user driven and not require input from a provider. We compare various techniques to enable a VM migration to be detected, by monitoring events inside a VM that could signify whether such a migration has taken place, and subsequently notifying the owner about such an event. A review of migration detection techniques is presented followed by the proposition of a hybrid model to carry out the migration detection process.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > Q Science (General)
Publisher: IEEE Conference Publications
ISBN: 978-1-4673-9301-0
Last Modified: 02 Nov 2022 09:57
URI: https://orca.cardiff.ac.uk/id/eprint/96947

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item