TY - GEN
T1 - Experimenting with application-based benchmarks on different cloud providers via a multi-cloud execution and modeling framework
AU - Evangelinou, Athanasia
AU - Galante, Nunzio Andrea
AU - Kousiouris, George
AU - Giammatteo, Gabriele
AU - Kevani, Elton
AU - Stampoltas, Christoforos
AU - Menychtas, Andreas
AU - Kopaneli, Aliki
AU - Balraj, Kanchanna Ramasamy
AU - Kyriazis, Dimosthenis
AU - Varvarigou, Theodora
AU - Stuer, Peter
AU - Arrieta, Leire Orue Echevarria
AU - Velez, Gorka Mikel Echevarria
AU - Bergmayr, Alexander
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - Cloud services are emerging today as an innovative IT provisioning model, offering benefits over the traditional approach of provisioning infrastructure. However, the occurrence of multi-tenancy, virtualization and resource sharing issues raise certain difficulties in providing performance estimation during application design or deployment time. In order to assess the performance of cloud services and compare cloud offerings, cloud benchmarks are required. The aim of this paper is to present a mechanism and a benchmarking process for measuring the performance of various cloud service delivery models, while describing this information in a machine understandable format. The suggested framework is responsible for organizing the execution and may support multiple cloud providers. In our work context, benchmarking measurement results are demonstrated from three large commercial cloud providers, Amazon EC2, Microsoft Azure and Flexiant in order to assist with provisioning decisions for cloud users. Furthermore, we present approaches for measuring service performance with the usage of specialized metrics for ranking the services according to a weighted combination of cost, performance and workload.
AB - Cloud services are emerging today as an innovative IT provisioning model, offering benefits over the traditional approach of provisioning infrastructure. However, the occurrence of multi-tenancy, virtualization and resource sharing issues raise certain difficulties in providing performance estimation during application design or deployment time. In order to assess the performance of cloud services and compare cloud offerings, cloud benchmarks are required. The aim of this paper is to present a mechanism and a benchmarking process for measuring the performance of various cloud service delivery models, while describing this information in a machine understandable format. The suggested framework is responsible for organizing the execution and may support multiple cloud providers. In our work context, benchmarking measurement results are demonstrated from three large commercial cloud providers, Amazon EC2, Microsoft Azure and Flexiant in order to assist with provisioning decisions for cloud users. Furthermore, we present approaches for measuring service performance with the usage of specialized metrics for ranking the services according to a weighted combination of cost, performance and workload.
UR - http://www.scopus.com/inward/record.url?scp=84955300297&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-25414-2_14
DO - 10.1007/978-3-319-25414-2_14
M3 - Conference contribution
AN - SCOPUS:84955300297
SN - 9783319254135
T3 - Communications in Computer and Information Science
SP - 213
EP - 227
BT - Cloud Computing and Services Sciences - International Conference in Cloud Computing and Services Sciences, CLOSER 2014, Revised Selected Papers
A2 - Helfert, Markus
A2 - Desprez, Frédéric
A2 - Ferguson, Donald
A2 - Leymann, Frank
A2 - Muñoz, Víctor Méndez
PB - Springer Verlag
T2 - International Conference in Cloud Computing and Services Sciences, CLOSER 2014
Y2 - 3 April 2014 through 5 April 2014
ER -