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Resource Allocation Strategies in Information-Centric Networking (ICN)

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This document explores the evolution of networking and resource allocation, tracking its progression from traditional circuit-switched systems to the more dynamic packet-switched models, highlighting the unique features of Information-Centric Networking (ICN). Key components such as content-based routing, metadata extraction, and fine-grained resource allocation are discussed. The paper advocates for improved policies in resource allocation to ensure performance and environmental sustainability, stressing the importance of understanding content size and the application of advanced traffic management techniques.

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Resource Allocation Strategies in Information-Centric Networking (ICN)

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  1. Resource Allocation in ICN Cedric Westphal Joint work with AbhishekChanda, Kai Su • Author/ Email: cedric.westphal at huawei .com • Version:2014/3/1

  2. A Brief History of Networking • As suggested by Van Jacobson: • Generation 1: the phone system (focus on the wires) • Generation 2: the Internet (focus on the endpoints) • Generation 3: dissemination (focus on the data)

  3. A different view: the industrial perspective • Circuit switched: resource allocated to a session, one-to-one mapping

  4. A different view: the industrial perspective • Packet switched: each link focuses on one task (forwarding) and sees multiple flows (statistical multiplexing)

  5. A different view: the industrial perspective • Next: kanban manufacturing: just-in-time resource allocation

  6. Fine, but how? • The true benefit of ICN… • Caching: see ‘less pain, most of the gain’ paper • ICN: • Address content by name, not by location • Content based routing • Unique mapping of name (network layer identifier) with content (application layer)

  7. ICN Meta-data • Key difference of ICN and IP: can extract meta-data from the network that is content specific • In particular, content size • Content size could be included as one potential meta-data in new naming architecture (parameterize names). • Can set a byte counter on a switch for a specific content • Can read content size from cache memory footprint • Can report this content size to a “controller” • So can associate extra context to content

  8. Control Plane Topology Manager Routing Engine Flow Pusher Dynamic Traffic Allocation Engine Content Management Layer Content Metadata Manager Content Name Manager Cache Manager Meta Flow Flows OF Events Content metadata Forwarding Plane

  9. Fine-grained resource allocation • IP Flows: probabilistic • Extremely difficult: • NP complete problem • Dynamic TE complex to manage, operators don’t like it • Basic heuristic: • From content metadata, and from monitoring traffic, estimate backlog on a link • Assign next allocation to path with the lowest normalized link backlog

  10. We tried it out… 30% shorter

  11. Threshold basedresource allocation • Only elephant flows? • Better policies could get better results? • Popularity-based?

  12. Conclusion • Next generation Internet will be more resource conscious for performance, economical, utilization, environmental reasons. • Better way of defining how to request resource is required, and ICN (partially) answers this • Better policies, need way to make it practical • http://arxiv.org/abs/1311.0951

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