ONOS OVERVIEW. Architecture, Abstractions & Application

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1 ONOS OVERVIEW Architecture, Abstractions & Application

2 WHAT IS ONOS? Open Networking Operating System (ONOS) is an open source SDN network operating system (controller). Mission: to enable Service Providers to build real SDN solutions. 2

3 ONOS UNIVERSE 3

4 ARCHITECTURE PRINCIPLES High availability, scalability and performance Strong abstractions and simplicity Protocol and device behaviour independence Separation of concerns and modularity 4

5 ONOS ARCHITECTURE 5

6 ARCHITECTURE PRINCIPLES High availability, scalability and performance Strong abstractions and simplicity Protocol and device behaviour independence Separation of concerns and modularity 6

7 ONOS ARCHITECTURE ONOS is partitioned into: Protocol-aware network-facing modules that interact with the network 7

8 ONOS ARCHITECTURE Protocols: contain implementation of all features needed by ONOS to communicate with real devices. implement specific control and/or management protocols Examples: OpenFlow, NETCONF, SNMP, etc. Providers: abstract the low-level configuration, control and management operations associated to real devices. execute requests originated from the core process and notify the core about events originated from the infrastructure devices 8

9 ARCHITECTURE PRINCIPLES High availability, scalability and performance Strong abstractions and simplicity Protocol and device behaviour independence Separation of concerns and modularity 9

10 ONOS ARCHITECTURE ONOS is partitioned into: Protocol-agnostic system core that tracks and serves information about network state 10

11 CORE FUNCTIONALITY A service is a unit of functionality. A service is comprised of multiple components that reside at the different layers and create a vertical slice. A service is used by applications to carry out application logic in the network. Example: a segment routing application needs to use core services on topology discovery, flow rules installation, etc. 11

12 CORE FUNCTIONALITY Primary services: Device Subsystem Link Subsystem Host Subsystem Topology Subsystem PathService FlowRule Subsystem Packet Subsystem 12

13 CORE FUNCTIONALITY ONOS defines several primary services: Device Subsystem - Manages the inventory of infrastructure devices. Link Subsystem - Manages the inventory of infrastructure links. Host Subsystem - Manages the inventory of end-station hosts and their locations on the network. Topology Subsystem - Manages time-ordered snapshots of network graph views. PathService - Computes/finds paths between infrastructure devices or between end-station hosts using the most recent topology graph snapshot. FlowRule Subsystem - Manages inventory of the match/action flow rules installed on infrastructure devices and provides flow metrics. Packet Subsystem - Allows applications to listen for data packets received from network devices and to emit data packets out onto the network via one or more network devices. X

14 SERVICE STRUCTURE 13

15 SERVICE STRUCTURE Provider: responsible for interacting with the network environment using various control and configuration protocols, and supplying service-specific sensory data to the core. interface with the network via protocol-specific libraries interface with the core via the ProviderService Manager: mediator between the providers (and the network) and the applications Service interface: applications or other core components learn about a particular aspect of the network state AdminService interface: handles administrative commands towards the network state or the system ProviderRegistry interface: Providers can register with the manager ProviderService interface: registered Providers can send and receive information to and from the manager Listener: Applications consume and manipulate information aggregated by the managers via the AdminService and Service interfaces. X

16 ONOS ARCHITECTURE ONOS is partitioned into: Applications that consume and act upon the information provided by the core 14

17 ARCHITECTURE PRINCIPLES High availability, scalability and performance Strong abstractions and simplicity Protocol and device behaviour independence Separation of concerns and modularity 15

18 ONOS ARCHITECTURE Interfaces Southbound (provider) API: network-facing modules interact with the core abstraction: protocol-neutral means to relay network state information to the core 16

19 ONOS ARCHITECTURE Interfaces Northbound (consumer) API: the core interacts with the applications abstractions that describe network operation components application logic expressed as a policy instead of mechanism 17

20 NORTHBOUND INTERFACE Global network topology view Intent directed, cyclic graph comprising of infrastructure devices, links and hosts network-centric abstraction for programming data-plane in topology-dependent manner Flow Objective device-centric abstraction for programming data-plane flows in table pipeline 18

21 NORTHBOUND INTERFACE Intent: policy-based declaration of what the applications want the network to do supported by the Intent Framework service focus on what should be done rather than how it is programmed abstracts unnecessary network complexity 19

22 NORTHBOUND INTERFACE Installable intent: actionable operations on the network environment generated by the core via intent compilation carried out by intent installation process examples: provisioning tunnel links, installing flow rules Built-in and user-defined intents 20

23 NORTHBOUND INTERFACE Flow objective: supported by the Flow Objective service focus on how traffic should be handled by a device (switch) rather than prescribing how the processing pipeline is built abstracts device specific implementation of the data plane drivers interpret flow objectives and map them to the tables pipeline, i.e., install flows accordingly 21

24 ARCHITECTURE PRINCIPLES High availability, scalability and performance Strong abstractions and simplicity Protocol and device behaviour independence Separation of concerns and modularity 22

25 DISTRIBUTED ARCHITECTURE High availability, scalability and performance How to achieve that? > distributed system How to keep simplicity of control? > centralized control plane Combine the two 23

26 DISTRIBUTED ARCHITECTURE 24

27 DISTRIBUTED ARCHITECTURE Distributed a cluster of instances represents the controller Symmetric instances run identical software and are configured the same Fault-tolerant node failures do not affect the operation of the cluster because load can be redistributed Location transparent the cluster looks like a single instance to the applications, which physical instance handles the request is hidden Dynamic the cluster can scale up/down to meet the usage demands of applications and traffic. X

28 DISTRIBUTED ARCHITECTURE Each instance discovers the state of a subsection of the network. Local state information is disseminated across the cluster as events. Events are shared among nodes via a distributed store. Consistency schemes eventually consistent strongly consistent X

29 DISTRIBUTED ARCHITECTURE 25

30 DISTRIBUTED TOPOLOGY VIEW In a distributed setting the topology view should ensure: Completeness: controller instances should work together to ensure each instance's view reflects the state of the entire network. Accuracy: Low latency access: 26

31 DISTRIBUTED TOPOLOGY VIEW In a distributed setting the topology view should ensure: Completeness: controller instances should work together to ensure each instance's view reflects the state of the entire network. Accuracy: each instance s network view should always expose the correct state and quickly change to reflect any changes in the underlying network. Low latency access: 27

32 DISTRIBUTED TOPOLOGY VIEW In a distributed setting the topology view should ensure: Completeness: controller instances should work together to ensure each instance's view reflects the state of the entire network. Accuracy: each instance s network view should always expose the correct state and quickly change to reflect any changes in the underlying network. Low latency access: the network topology view is a heavily consumed piece of state and thus requires low latency access. 28

33 DISTRIBUTED TOPOLOGY VIEW Topology consistency is ensured via logical timestamps. Logical timestamp = controller epoch + sequence number controller epoch is monotonically increasing number each time the master instance of a device changes (e.g., after failure) sequence number is monotonically increasing number for a network event originating at a single device 29

34 DISTRIBUTED TOPOLOGY VIEW Topology consistency is ensured via logical timestamps. Logical timestamp = controller epoch + sequence number controller epoch is monotonically increasing number each time the master instance of a device changes (e.g., after failure) sequence number is monotonically increasing number for a network event originating at a single device The master instance sends out topology events and their logical timestamps Other instances can detect changes in the topology they did know about. 30

35 SELF STUDY Device Subsystem Link Subsystem Host Subsystem Topology Subsystem PathService FlowRule Subsystem Packet Subsystem Pick one primary service Discover and understand its vertical slice (slide 25) Propose an application that is build on top What design requirements does your application have concerning: performance (response time, bandwidth) scalability robustness to failures (availability) 31

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