Title :
A Service-oriented Measurement Infrastructure for Cloud Computing Environments
Author :
Hamilton, Gregg ; Pezaros, Dimitrios
Author_Institution :
Sch. of Comput. Sci., Univ. of Glasgow, Glasgow, UK
Abstract :
With an ever-increasing number of services being moved to cloud computing platforms, it is essential for data centre operators to quickly identify any problems in their network in order to ensure optimal performance and provide guidance for when actions such as migration of computing instances are required. This paper introduces a distributed measurement infrastructure using low-cost in-line link measurements to reveal the true traffic-perceived service quality in short timescales. In-line measurement is highly relevant for data centres as it allows an accurate measure of important network services without the problem of injecting artificial traffic into a network with high contention for resources. The infrastructure presented allows real-time monitoring and visualisation of the state of the network, which can be used to inform virtual machine migration/instantiation events. We show that the in-line measurements used by the infrastructure have negligible impact on network traffic and the hosts conducting the measurements. The low overhead of in-line measurements potentially enables the infrastructure to function as an always-on measurement and management platform.
Keywords :
IP networks; cloud computing; computer centres; computer network performance evaluation; computerised monitoring; service-oriented architecture; telecommunication traffic; virtual machines; cloud computing environments; computing instance migration; data centre operators; distributed measurement infrastructure; in-line link measurements; network services; network state monitoring; network state visualisation; service-oriented measurement infrastructure; traffic-perceived service quality; virtual machine instantiation events; virtual machine migration events; Cloud computing; Delay; IP networks; Kernel; Linux; Loss measurement; Throughput; cloud computing; distributed systems; measurement; network monitoring; network performance;
Conference_Titel :
High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems (HPCC-ICESS), 2012 IEEE 14th International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4673-2164-8
DOI :
10.1109/HPCC.2012.137