SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks
NSF-Intel ICN-WEN
NSF-Intel ICN-WEN
1. P. R. Kumar; Texas A&M Engineering Experiment Station; PI
2. Srinivas Shakkottai; Texas A&M Engineering Experiment Station; Co-PI
3. I-Hong Hou; Texas A&M Engineering Experiment Station; Co-PI
4. Ness Shroff; The Ohio State University; Co-PI
5. Atilla Eryilmaz; The Ohio State University; Co-PI
6. Patrick Crowley; Washington University in Saint Louis; Co-PI
7. Y . Charlie Hu; Purdue University; Co-PI
8. Elisa Bertino; Purdue University; Co-PI
9. Romit Roy Choudhury; University of Illinois at Urbana-Champaign; Co-PI
The goals of the proposed research will be conducted across three major inter-related thrusts:
I) Applications for an Information Centric Wireless Edge: This thrust will define the performance criteria and determine the architecture of the two main focus applications of our project: VR/AR and UAV control, and help to orient our research in terms of satisfying their information and latency needs. Key to an effective solution is to exploit multiple dimensions of commonality between instances of these applications through fast content caching and retrieval, and multicast services provided by an NDN- WEN.
II) Information Centric Networking for the Wireless Edge: This thrust will explore how to move NDN into the wireless domain, forming a layer connecting the Communication Plane to the Application Plane. Our major goals are to design the NDN-WEN architecture, how information exchange via caching would be accomplished, and how to design secure data transfer methods. A key novelty is the use of proactive secure caching that learns the value of applications and ensured they are cached ahead of demand.
III) Wireless Communication for Information Centric Networks: We aim at developing the interface between the backbone and the wireless edge capabilities, for low-overhead, low-delay, and heterogeneous service requirements. Key to this goal will be the successful solution of the question of how to employ multicasting capabilities of wireless communication while simultaneously achieving low-delay guarantees and low-complexity feedback mechanisms, via a mix of coding, caching and scheduling techniques.