Resource monitoring in a Network Embedded Cloud: An extension to OSPF-TE
2013 (English)In: Proceeding UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing, 2013, 139-146 p.Conference paper (Refereed)
A "network embedded cloud", also known as a "carrier cloud", is a distributed cloud architecture where the computing resources are embedded in, and distributed across the carriers network. This idea is based on a transformation of carrier-grade networks toward a platform for cloud services and the emergence of cloud computing in a telecommunication environment. In this model the networks resources are simply another set of cloud resources. This changes the resource management problem as compared to resource management inside a data center. In order to meet applications requirements regarding available bandwidth and computing resources, one needs to consider link conditions and traffic engineering when allocating resources in a network embedded cloud. This paper presents a resource monitoring solution for a network embedded cloud by proposing an extension to the Open Shortest Path First-Traffic Engineering (OSPF-TE) protocols. Modeling, emulation, and analysis show the proposed solution can provide the required data to a cloud management system by sending information about virtual resources in the form of a new opaque link-state advertisement, named cloud LSA. Each embedded data center injects less than 40 bytes per second of additional traffic into the network when sending cloud LSAs at most every 5 seconds.
Place, publisher, year, edition, pages
2013. 139-146 p.
network embedded cloud, carrier cloud, Cloud LSA, opaque LSA, link-state update policy, OSPF-TE, resource monitoring, network-aware, cloud management system, extended TED, data center model
IdentifiersURN: urn:nbn:se:kth:diva-136340DOI: 10.1109/UCC.2013.36ScopusID: 2-s2.0-84901650454ISBN: 978-0-7695-5152-4OAI: oai:DiVA.org:kth-136340DiVA: diva2:675824
6th IEEE/ACM International Conference on Utility and Cloud Computing, December 9-12, 2013, Dresden, Germany
QC 201404142013-12-042013-12-042014-04-14Bibliographically approved