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Enhanced Content-Centric Routing with Ant Colony Optimization Techniques

This paper presents SoCCeR, an innovative approach to content-centric routing that employs Ant Colony Optimization to improve information gathering. It highlights the challenges faced in service invocation concerning state, CPU, and memory usage, emphasizing the necessity to minimize costly multiple invocations. By implementing informed routing decisions based on context factors like service load, latency, and bandwidth, SoCCeR enhances scalability and reduces overhead in centralized routing systems. Evaluated through simulations on CCNx, results show improved service execution efficiency and load balancing capabilities.

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Enhanced Content-Centric Routing with Ant Colony Optimization Techniques

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  1. SCCeR - Services over Content-Centric Routing Shashank Shanbhag University of Massachusetts, Amherst, MA, USA sshanbha@ecs.umass.edu Nico Schwan, Ivica Rimac Bell Labs, Alcatel-Lucent, Stuttgart, Germany {nico.schwan, ivica.rimac}@alcatel-lucent.com Matteo Varvello Bell Labs, Alcatel-Lucent, Holmdel, USA matteo.varvello@alcatel-lucent.com MOTIVATION DESIGN Application Server • Ant Colony Optimization for information gathering Application Server ? Exec ? ? S1 S1 CCN Exec 9 9 6 6 8 8 1 5 1 5 Exec 7 7 S1 S1 2 2 4 4 X X 3 3 S1 S1 SoCCeR Calculate new probabilities • Services are different from content • Invocation is costly: state, cpu, memory, … avoid multiple invocations • Routing depends on context: service load, latency, bandwidth, … make informed routing decisions • Centralized approaches: Lack scalability, Impose high overhead, … Pheromone Table /service/S1 Face Probability 0 p0 1 p1 2 p2 Interest Ant CCN FIB Face list Prefix Data Ant /service/S1 1 Normal Traffic /service/S2 0 EVALUATION RESULTS • SoCCeR implementation based on CCNx • Simluation setup • Random 50 node topology (GT-ITM) • Clients generate batches of service requests (uniformly distributed)with mean interarrival time of 1 second(exponentially distributed) • Service execution time with mean of 100 seconds(exponentially distributed) • Metrics: Service Load, Delay Service Failure& Recovery Load Balancing Overhead SoCCeR nodes Services

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