Adaptive Programmable Networks

1. Adaptive Programmable Networks Rudolf Strijkers

2. Introduction Since March 2007 part of CIOS Collaboration: • System and Network Engineering (SNE) Research Group @ UvA (Cees de Laat) • Sensor ICT @ TNO Groningen (Jan-jaap Aué)

3. Current Issues in Networking • Current Internet protocols, such as TCP, and communication concepts are not well suited for dynamic networking environments • It is not feasible to use current strategies to cope with changes • The emergence of sensor networks stimulates new research into this area Ref: http://commonsense.epfl.ch/COMMONSense/description.htm Ref: Realizing the Information Future (1994)

4. Network Science (BAST, 2005): Interest in network research has exploded during the past 5 years Current Issues in Networking • Network services do not adapt well to application requirements • Strong decoupling between network and applications • Current solution: Application-specific amendments to the Internet model in RFCs (multicast, TCP for gigabit ethernet, RTP) Explosion of Standards Clearly, this does not scale! Number of RFCs Year

5. User Programmable Virtualized Networks • A concept, which transforms networks into a collection of software services • Virtualization • Programmable Software Objects • Web services • To support • Networks that operate in dynamic environments (sensor networks, battlefield networks, deep-space networks) • Application-specific network behavior • The UPVN model forms the basis for developing next-generation networking frameworks Application Application NC NC NE NE AC NE AC AC AC AC NE NE AC

6. Camera UPVN The Network has become software: Everything is possible • Service-oriented architecture • Composition of services to create new services • Reuse • Agents • Grid architecture • Peer-to-peer • Mobile code • Traffic manipulation • Workflows • Traffic engineering • Ad-hoc • OO • ... Workstation Visualization Image Analysis Database

7. Adaptive Network Control • The UPVN model leads to new and interesting potential (eScience 2006) Example: Integration of Mathematica with a UPVN Now topology matters can be dealt with algorithmically and application-specific Network Analysis Analysis NC NC NC Provisioning NE NE NE Token AC Topology AC Token AC Topology AC

8. Adaptive Network Control • What are the underlying principles of network architectures to support dynamic and application-specific behavior? • Consider the network as a system • Feedback in networks • Continuous monitoring of Key Performance Indicators: Measurable and quantifiable metrics that represent current state. • Optimization Adaptation according to local changes and global goals Mathematica Optimization algorithm Network model feedback operators NE NE Path finding implementation Adaptation functions KPI Monitoring

9. Adaptive Network Control • A network field model • Paths flow according to a field of attraction or repulsion • Adapt to field changes by placing attractors, assuming shortest-path weight propagation

10. Next Steps • Develop frameworks for • Macroscopic Network control • Deterministic Network control • Deep-space Telecommunication • Apply frameworks to applications • Coordination in heterogeneous networks (real-time communication through heterogeneous links) • Camera sensor networks (interaction between applications, network and sensors) ...

11. Conclusion • We have developed an alternative conceptual model to address the main issues in current network technologies • By applying this model to specific application domains we gain insight in their architectural principles • The goal is to find a unified framework for next-generation networks that supports dynamic and application-specific behavior, which is interoperable with current Internet technologies.