Bruce Hartpence
ABSTRACT
As more applications move to the cloud, the operation and performance of the cloud comes under greater scrutiny. In addition, educational programs incorporate more desktop and server virtualization. In trying to understand and work with this architecture, it is important to understand not only the structural change but the impact on performance metrics as well. Traditional tools used to measure performance and capacity of these connections may not take into account the cloud infrastructure itself or the behavior of these increasingly software based systems. This paper explores the mechanisms typically used for evaluating typical connections established for coursework and the issues associated measurement in this environment.
- Sommers J., Barford P., Willinger W., Laboratory-based Calibration of Available Bandwidth Estimation Tools, Microprocessors & Microsystems, V.31 N.4, 2007. Google Scholar
Digital Library
- http://iperf.fr/Google Scholar
- http://www.netperf.org/netperf/NetperfPage.htmlGoogle Scholar
- Ningning, Hu, et al, Locating Internet Bottlenecks: Algorithms, Measurements, and Implications, SIGCOM '04. Google ScholarDigital Library
- http://www.vyatta.com/Google Scholar
- Johnson, D., et al, "Designing, Constructing and Implementing a Low-Cost Virtualization Cluster for Education", EISTA 2013.Google Scholar
- Stackpole, B., et al, "Natural Selection in Virtual Environments", EISTA 2013.Google Scholar
- Masoud Moshref, Minlan Yu, Ramesh Govindan, "Resource/Accuracy Tradeoffs in Software Defined Measurement", HotSDN 2013. Google ScholarDigital Library
Index Terms
- Curricular and performance measurement challenges in cloud environments
Recommendations
Learning cloud computing and security through CloudSim simulation
InfoSec '14: Proceedings of the 2014 Information Security Curriculum Development ConferenceCloud computing is an emerging parallel and distributed service-oriented computing paradigm that provides platform service, software service, and infrastructure service through computing resource virtualization. Cloud computing is fast evolving and ...
Is your cloud elastic enough?: performance modelling the elasticity of infrastructure as a service (IaaS) cloud applications
ICPE '12: Proceedings of the 3rd ACM/SPEC International Conference on Performance EngineeringElasticity, the ability to rapidly scale resources up and down on demand, is an essential feature of public cloud platforms. However, it is difficult to understand the elasticity requirements of a given application and workload, and if the elasticity ...
I/O performance of virtualized cloud environments
DataCloud-SC '11: Proceedings of the second international workshop on Data intensive computing in the cloudsThe scientific community is exploring the suitability of cloud infrastructure to handle High Performance Computing (HPC) applications. The goal of Magellan, a project funded through DOE ASCR, is to investigate the potential role of cloud computing to ...
Comments