Measuring CPU overhead for I/O processing in the Xen virtual machine monitor
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
A comprehensive quality model for service-oriented systems
Software Quality Control
Can cloud computing reach the top500?
Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop
Open standards and cloud computing: KDD-2009 panel report
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Customer Centric Cloud Service Model and a Case Study on Commerce as a Service
CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
Virtual Infrastructure Management in Private and Hybrid Clouds
IEEE Internet Computing
Proceedings of the 10th ACM/IFIP/USENIX International Conference on Middleware
Cloud Computing: Issues and Challenges
AINA '10 Proceedings of the 2010 24th IEEE International Conference on Advanced Information Networking and Applications
Resource Usage Monitoring in Clouds
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
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Cloud services are becoming popular in terms of distributed technology because they allow cloud users to rent well-specified resources of computing, network, and storage infrastructure. Users pay for their use of services without needing to spend massive amounts for integration, maintenance, or management of the IT infrastructure. This creates the need for a reliable measurement methodology of the scalability for this type of new paradigm of services. In this paper, we develop performance metrics to measure and compare the scalability of the resources of virtualization on the cloud data centres. First, we discuss the need for a reliable method to compare the performance of cloud services among a number of various services being offered. Second, we develop a different type of metrics and propose a suitable methodology to measure the scalability using these types of metrics. We focus on the visualization resources such as CPU, storage disk, and network infrastructure. Finally, we compare well-known cloud providers using the proposed approach and conclude the recommendations. This type of research will help cloud consumers, before signing any official contract to use the desired services, to ascertain the ability and capacity of the cloud providers to deliver a particular service.