TY - GEN
T1 - RSU cloud and its resource management in support of enhanced vehicular applications
AU - Salahuddin, Mohammad A.
AU - Al-Fuqaha, Ala
AU - Guizani, Mohsen
AU - Cherkaoui, Soumaya
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/3/18
Y1 - 2014/3/18
N2 - We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.
AB - We propose Roadside Unit (RSU) Clouds as a novel way to offer non-safety application with QoS for VANETs. The architecture of RSU Clouds is delineated, and consists of traditional RSUs and specialized micro-datacenters and virtual machines (VMs) using Software Defined Networking (SDN). SDN offers the flexibility to migrate or replicate virtual services and reconfigure the data forwarding rules dynamically. However, frequent changes to service hosts and data flows not only result in degradation of services, but are also costly for service providers. In this paper, we use Mininet to analyze and formally quantify the reconfiguration overhead. Our unique RSU Cloud Resource Management (CRM) model jointly minimizes reconfiguration overhead, cost of service deployment and infrastructure routing delay. To the best of our knowledge, we are the first to utilize this approach. We compare the performance of purist approach to our Integer Linear Programming (ILP) model and our innovative heuristic for the CRM technique and discuss the results. We will show the benefits of a holistic approach in Cloud Resource Management with SDN.
UR - http://www.scopus.com/inward/record.url?scp=84988221492&partnerID=8YFLogxK
U2 - 10.1109/GLOCOMW.2014.7063418
DO - 10.1109/GLOCOMW.2014.7063418
M3 - Conference contribution
AN - SCOPUS:84988221492
T3 - 2014 IEEE Globecom Workshops, GC Wkshps 2014
SP - 127
EP - 132
BT - 2014 IEEE Globecom Workshops, GC Wkshps 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE Globecom Workshops, GC Wkshps 2014
Y2 - 8 December 2014 through 12 December 2014
ER -