TY - GEN
T1 - Cloud computing network design for high performance computing implementation on openstack platform
AU - Ratna, Anak Agung Putri
AU - Wirianata, Tomi
AU - Ekadiyanto, F. Astha
AU - Ibrahim, Ihsan
AU - Husna, Diyanatul
AU - Purnamasari, Prima Dewi
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11/24
Y1 - 2017/11/24
N2 - This paper presents networking design strategies in cloud infrastructure built using Openstack platform and explore scalability issues related to its infrastructure. Experiments discussed in this paper are conducted to study the performance of Openstack network based on the implementation of Neutron in order to provide recommendations for optimal network design suitable for high performance computing. Network performance parameters such as throughput, packet loss and latency were evaluated based on TCP and UDP data transmission using IPerf benchmarking tool. The results show that in general, Openstack did not exhibit network bandwidth bottlenecks. However, the location where virtual machine was instantiated and how the network was segmented will affect network performance. This paper also discussed the traffic flow used to analyze the network performances of different virtual machine’s network topology in the cloud and provide an optimal cloud networking design and recommendations that yields to a better high-performance computing platform.
AB - This paper presents networking design strategies in cloud infrastructure built using Openstack platform and explore scalability issues related to its infrastructure. Experiments discussed in this paper are conducted to study the performance of Openstack network based on the implementation of Neutron in order to provide recommendations for optimal network design suitable for high performance computing. Network performance parameters such as throughput, packet loss and latency were evaluated based on TCP and UDP data transmission using IPerf benchmarking tool. The results show that in general, Openstack did not exhibit network bandwidth bottlenecks. However, the location where virtual machine was instantiated and how the network was segmented will affect network performance. This paper also discussed the traffic flow used to analyze the network performances of different virtual machine’s network topology in the cloud and provide an optimal cloud networking design and recommendations that yields to a better high-performance computing platform.
KW - Cloud Computing
KW - High Performance Computing
KW - Openstack
KW - Quality of Service
KW - Virtual Machine
UR - http://www.scopus.com/inward/record.url?scp=85042067743&partnerID=8YFLogxK
U2 - 10.1145/3162957.3162988
DO - 10.1145/3162957.3162988
M3 - Conference contribution
AN - SCOPUS:85042067743
T3 - ACM International Conference Proceeding Series
SP - 356
EP - 360
BT - Proceedings of the 3rd International Conference on Communication and Information Processing, ICCIP 2017
PB - Association for Computing Machinery
T2 - 3rd International Conference on Communication and Information Processing, ICCIP 2017
Y2 - 24 November 2017 through 26 November 2017
ER -