Title: Navigating the Virtualization World Towards 6G: Agility, Reliability, Shannon and Beyond
Time: Monday, June 19, 2023 at 13:15
Place: seminar room 0406
Speaker: Dr. Martin Reisslein, School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe
Bio: Martin Reisslein (S’96-M’98-SM’03-F’14) received the Ph.D. in systems engineering from the University of Pennsylvania, Philadelphia, PA, USA in 1998. He is currently a Professor with the School of Electrical, Computer, and Energy Engineering, and Program Chair of Computer Engineering at Arizona State University (ASU), Tempe, AZ, USA. He is currently an Associate Editor for IEEE Access and IEEE Transactions on Network and Service Management. He currently serves as Area Editor for Optical Networking for the IEEE Communications Surveys and Tutorials and as Co-Editor-in-Chief of Optical Switching and Networking. He served as Associate Editor of the IEEE/ACM Transaction on Networking (2009-2013), served as Associate Editor-in-Chief of the IEEE Communications Surveys and Tutorials (2007-2020), and chaired the Steering Committee of the IEEE Transactions on Multimedia (2017-2019). He received the IEEE Communications Society Best Tutorial Paper Award in 2008, a Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation in 2015, as well as a DRESDEN Senior Fellowship in 2016 and in 2019.
Abstract: Agility: Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation, networking, and storage resources, close to end users, thus reducing end-to-end latency and enabling various novel use cases. However, frequent user mobility makes it challenging for the MEC to guarantee the close proximity to the users. To tackle this agility challenge, the underlying network has to be capable of seamlessly migrating applications between multiple MEC sites. This application migration requires the quick and flexible migration of the application states without service interruption, while minimizing the state transfer cost. We give an overview of the Flexible And low-latency State Transfer (FAST), the first programmable state forwarding framework. FAST flexibly and directly forwards states between source instance and destination instance based on Software-Defined Networking (SDN).
Reliability: Existing Network Function Virtualization (NFV) service placements that reuse existing network functions either reuse an entire Service Function Chain (SFC) or only individual network functions while ignoring the chain configuration cost for configuring the SFC traffic steering and ignoring the reliability of the network functions. Also, the Mobile Edge Cloud (MEC) frameworks that are required to implement an NFV service placement should ideally seamlessly cooperate with the various existing NFV Management and Orchestration (MANO) frameworks. However, the existing MEC frameworks lack multi-MANO support. We give an overview of the novel Subchain-Aware NFV service Placement (SAP) optimization model that accounts for the configuration cost for stitching together reused network functions to an SFC and strives to reuse existing subchains of consecutive network functions (with already deployed SFC traffic steering), while accounting for the recovery cost of network functions with limited reliability. Furthermore, we sketch the novel Automated Provisioning framework for MEC.