標題: Extending IoT/M2M Scalability by Network Slicing
作者: de la Bastida, David
Lin, Fuchun Joseph
資訊工程學系
電機資訊國際碩士學位學程
Department of Computer Science
EECS International Graduate Program-Master
關鍵字: Cloud Computing;Internet of Things;Scalability;OpenStack;Network Slicing;QoS Matching;SDN
公開日期: 1-Jan-2018
摘要: In this research, we have extended our initial effort in cloud-based IoT/M2M system scalability and developed a more robust solution by considering diverse QoS requirements from various IoT/M2M traffic patterns. Though our initial effort created a highly scalable architecture for IoT/M2M platforms based on OpenStack, it treated all IoT/M2M traffic without any discrepancy in the same underlying network (i.e. in the same network slice). Now, by leveraging software-defined networking in OpenStack and by using our traffic-slice optimal matching algorithm, we can direct different types of IoT traffic to feasible network slices in terms of QoS. Our experiments show that when compared with a system without network slicing, our scalability system performs better in terms of response time, power consumption, and computational cost.
URI: http://hdl.handle.net/11536/155036
ISBN: 978-1-5386-3416-5
ISSN: 1542-1201
期刊: NOMS 2018 - 2018 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM
起始頁: 0
結束頁: 0
Appears in Collections:Conferences Paper