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Introduction to SDN: Software Defined Networking

SDN is the next big thing in networking. It focuses on separating the intelligence from the hardware. OpenFlow is one of the ways (currently the open standard followed by all Datacenters) to implement SDN.

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Presented By: Ankita Mahajan
Introduction
Typical Data Center functioning
Enterprise Survey 2012: problems
(% of respondents with N=280)
Networking Business
challenges:
Summarized:
1. Configuration: Adding or moving devices and
implementing network-wide policies is Overly
complex, manual, time-consuming and risk service-
disruption; discouraging network changes. VM-
migration has challenged many aspects of n/wing
2. Scale: Link oversubscription to provision scalability is
not effective with the dynamic traffic patterns in
virtualized networks
3. Features: Slow to respond to business requests
4. Software: Too hard to deploy
5. Packaging: Inflexible, difficult to scale.
6. Reliability: Below expectations
SDN: Definition
 The physical separation of the network control
plane from the forwarding plane.
 Ability to directly program n/w operations using
ordinary languages, ordinary OS, ordinary
computers.
Steps:
 Generalize the data path: OpenFlow
 Decouple Distribution model of control logic from
topology. Ex) Tightly coupled distributed servers for
(Logically) centralized control plane
 (logical because of distributed computing. No single point
of failure)
Need for SDN in DCN/enterprise
N/w:
 Static Networks : Must respond dynamically
based on Business Policy
 Essential Applications: Must be developed
within the network to deliver business results
 Manual Policies: Must be automated to
reduce personnel cost
 Monolithic Network Services: Must
dynamically scale independent of network
devices
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Introduction to SDN: Software Defined Networking

  • 1. Presented By: Ankita Mahajan Introduction
  • 2. Typical Data Center functioning
  • 3. Enterprise Survey 2012: problems (% of respondents with N=280)
  • 4. Networking Business challenges: Summarized: 1. Configuration: Adding or moving devices and implementing network-wide policies is Overly complex, manual, time-consuming and risk service- disruption; discouraging network changes. VM- migration has challenged many aspects of n/wing 2. Scale: Link oversubscription to provision scalability is not effective with the dynamic traffic patterns in virtualized networks 3. Features: Slow to respond to business requests 4. Software: Too hard to deploy 5. Packaging: Inflexible, difficult to scale. 6. Reliability: Below expectations
  • 5. SDN: Definition  The physical separation of the network control plane from the forwarding plane.  Ability to directly program n/w operations using ordinary languages, ordinary OS, ordinary computers. Steps:  Generalize the data path: OpenFlow  Decouple Distribution model of control logic from topology. Ex) Tightly coupled distributed servers for (Logically) centralized control plane  (logical because of distributed computing. No single point of failure)
  • 6. Need for SDN in DCN/enterprise N/w:  Static Networks : Must respond dynamically based on Business Policy  Essential Applications: Must be developed within the network to deliver business results  Manual Policies: Must be automated to reduce personnel cost  Monolithic Network Services: Must dynamically scale independent of network devices
  • 7. Limitations of current n/w Complexity that leads to stasis:  For example, to add or move any device, IT must touch multiple switches, routers, firewalls, Web authentication portals, etc. and update ACLs, VLANs, quality of services (QoS), and other protocol-based mechanisms using device-level management tools. In addition, network topology, vendor switch model, and software version all must be taken into account. Due to this complexity, today's networks are relatively static as IT seeks to minimize the risk of service disruption.  VM-migration hs challenged many aspects of n/wing  for voice, data, and video traffic existing networks can provide differentiated QoS levels for different applications, the provisioning of those resources is highly manual.
  • 8. ..continued Inconsistent policies:  To implement a network-wide policy, IT may have to configure thousands of devices and mechanisms.  For example, every time a new virtual machine is brought up, it can take hours, in some cases days, for IT to reconfigure ACLs across the entire network.  The complexity of today's networks makes it very difficult for IT to apply a consistent set of access, security, QoS, and other policies to increasingly mobile users, which leaves the enterprise vulnerable to security breaches, non-compliance with regulations, and other negative consequences.
  • 9. ..continued Inability to scale  IT has relied on link oversubscription to scale the network, based on predictable traffic patterns; however, in today's virtualized data centers, traffic patterns are incredibly dynamic and therefore unpredictable  Multi-tenancy further complicates carriers’ task, as the network must safely serve groups of users with different applications and different performance needs.
  • 10. ..continued Vendor dependence:  Carriers and enterprises seek to deploy new capabilities and services in rapid response to changing business needs or user demands.  Lack of common standard, open interfaces limits the ability of network operators to tailor the network to their individual environments.
  • 11. Computing Trends Driving N/w Change:The static architecture of conventional networks is ill-suited to the dynamic computing and storage needs of today’s data centers, campuses, and carrier environments. Key Computing trends driving change:  Changing traffic patterns: Applications that commonly access geographically distributed databases and servers through cloud require extremely flexible traffic mngmnt and access to bandwidth on demand.  The rise of cloud services: Users expect on-demand access to applications, infrastructure, and other IT resources. Cloud needs an environment of increased security, compliance, and auditing requirements, along with business reorganizations, consolidations, and mergers that can change assumptions overnight  “Big data” means more bandwidth: Handling today’s mega datasets requires massive parallel processing that is fuelling a constant demand for additional capacity and any-to-any connectivity  The "consumerization of IT": Users are increasingly employing mobile personal devices to access the corporate network. Require smart and secure connections.
  • 12. SDN: Future of NetworkingSwitching Hardware SDN Controller • Easy to scale and manage • Programmable to meet application needs in real time • Open standards based programmable n/w elements. • Presents Network As A Service (NAAS) and Network As An Infrastructure (NAAI) OpenFlow Secure channel
  • 13. SDN: Simple, scalable N/w Mgmt  Standard based homogenous network  1 touch point(SDN Controller) vs 1000s of touch points(Nw elements)  Each element has same configuration, mgmnt and control interface  Automated configuration, management and control of the network  Greatly reduce OPEX cost of the network  Greatly reduce network management complexity  Greatly reduce network downtime Single touch point
  • 14. SDN: Smarter Network for Large Scale Deployment
  • 15. Abstractions of SDN  Data /Forwarding: Interface inside forwarding Hardware  Control /State-Distribution: Single state- distribution algo calculates routes centrally in control  Management abstraction: Logical appearance of n/w. N/w can be managed as a single switch rather than managing multiple switches independently.
  • 16. Shift from Hardware to SoftwareFacilitators of SDN today: What made SDN possible:  ASICs/FGPAs CPU H/W  S/w Engineering and Distributed Computing Capabilities:  Global view of n/w: wire once, program as per business need.  What if I need to modify the quality of the search signal I want?  What if I want more bandwidth for a minute, an hour, a day or month?  What if I want an application to request it automatically, not an IT manager logging into a portal saying please give me more capacity?  Thus, SDN is a part of the self-healing qualities of its network  Basically the ability to request more bandwidth automatically:  "I am an application and I want to move from here to there and I don’t always want to pay for a large pipe all the time, I want to apply it only when I use it. The pay-by-use model is what SDN enables”  No. of RFCs = 6K => 6K protocols  Instead of protocols coded in proprietary OS on a router, Control plane has programs of the complete bucket of protocols and it can program all the machines with the required protocol at any time.
  • 18. SDN: Cloud Multi Tenancy Network as a Service (NaS)
  • 19. SDN Application examples Flow table fields are based on standard fields of Merchant silica or ASICs.  Multicasting is trivial with this: direct programming of these switches.  Setting service priority dynamically.  Load balancing and firewall can be a s/w model written in APIs in N/w OS.  Mobile service provider  Carrier  Public/private cloud  Financial services: multiple separate infra to prevent cross-mandating, security, etc => redundancy.
  • 20. OpenFlow (SouthBound API) (v)Switches Controller (v)Switches (v)Switches North bound API South bound API
  • 26. Generic primitives that sit on top of (v)switches, designed to match well with ASICS/merchant silicon
  • 46. Google’s WAN  All Google’s inter-DC traffic is routed through openflow based traffic engineering model.  Normal 10GigE switches are deployed.  No s/w on routers, not even CLI, just openflow. All other s/w in controller.  Servers follow normal IS-IS, BGP protocols Challenges: controller shouldn’t be the single point of failure:  Master controller, redundant controllers, and tightly coupled distributed controllers were used
  • 47. Google SDN-WAN Advantages:  increased Utilization & Availability: Compute best path for each flow.  QoS Guarantee  Acceptable Stability  Unified view of the network fabric simplifies config, mngmnt, provisioning.  Easy to tweak the n/w since s/w provides ability to undo quickly.  Time to fix bugs is much less  Simulate topology, scale, n/w, by directing the monitoring s/w to the simulated n/w before actually deploying it.  s/w testing & Bug detection is easy since simulation done before hand.  Simple updates: Earlier update done on each m/c, now only controller servers. Reduced update traffic. In Conventional setup, each box has different complicated stacks behaving differently to new changes.  Fault tolerant.  Fast recovery from link failure: the first node to detect failure simply sends one msg to controller, instead of flooding other routers  OSPF takes time to spread link failure info.
  • 48. Google SDN-WAN challenges  The OpenFlow protocol is in its infancy and is bare bones. However, it is good enough for many nw apps like google’s  To provide Fault tolerant OpenFlow controllers , multiple OpenFlow controllers must be provisioned. This requires handling master election and partitions between the controllers.  Partitioning functionality It is not very clear what functionality should reside in the network devices and what should reside in external controllers.  Flow programming: For large networks, programming of individual flows can take a long time.
  • 49. Advantages of OpenFlow  Centralized management and control of networking devices from multiple vendors;  Improved automation and management by using common APIs to abstract the underlying networking details from the orchestration and provisioning systems and applications;  Rapid innovation (in each decoupled layer) through the ability to deliver new network capabilities and services without the need to configure individual devices or wait for vendor releases;  Programmability by operators, enterprises, independent software vendors, and users (not just equipment manufacturers) using common programming environments, which gives all parties new opportunities to drive revenue and differentiation;  Lower Capex and Opex for Data and Control plane.
  • 50. ..continued  Increased network reliability and security as a result of centralized and automated management of network devices, uniform policy enforcement, and fewer configuration errors;  Faster time to market/deployment Better and more rigorous testing is done ahead of rollout accelerating deployment and only the features needed are developed  More granular network control with the ability to apply comprehensive and wide-ranging policies at the session, user, device, and application levels;  Better end-user experience as applications exploit centralized network-state information to seamlessly adapt network behaviour to user needs.  Interoperability: Choice of gear from multiple vendors.
  • 52. References for this ppt 1. https://www.opennetworking.org/sdn-resources/sdn- definition 2. https://www.opennetworking.org/sdn-resources/sdn- library/whitepapers/816-software-defined- networking-the-new-norm-for-networks 3. http://www.techcentral.ie/22261/software-defined- networking 4. SDN Approach to Large Scale Global Data Centers: Rakesh Saha, IBM & Amit Agarwal, Google 5. Decoding SDN: Bob Muglia, Executive VP, S/w Soln division, Juniper N/w 6. https://www.youtube.com/watch?v=CMtuAsm5ApA …Continue
  • 53. References continued… 7. https://www.opennetworking.org/sdn- resources/sdn-library/whitepapers 8. https://www.youtube.com/watch?v=4Cb91JT-Xb4 9. http://www.quora.com/Software-defined-Networking 10. http://www.youtube.com/watch?v=5- pLO4MZU3o#t=197 11. http://en.wikipedia.org/wiki/Network_operating_syst em 12. http://www.sdncentral.com/sdn-document-library/ 13. http://www.youtube.com/watch?v=PAtPRXZlvYE

Editor's Notes

  1. For example, to add or move any device, IT must touch multiple switches, routers, firewalls, Web authentication portals, etc. and update ACLs, VLANs, quality of services (QoS), and other protocol-based mechanisms using device-level management tools. In addition, network topology, vendor switch model, and software version all must be taken into account. Due to this complexity, today's networks are relatively static as IT seeks to minimize the risk of service disruption.The static nature of networks is in stark contrast to the dynamic nature of today's server environment, where server virtualization has greatly increased the number of hosts requiring network connectivity and fundamentally altered assumptions about the physical location of hosts. Prior to virtualization, applications resided on a single server and primarily exchanged traffic with select clients. Today, applications are distributed across multiple virtual machines (VMs), which exchange traffic flows with each other. VMs migrate to optimize and rebalance server workloads, causing the physical end points of existing flows to change (sometimes rapidly) over time. VM migration challenges many aspects of traditional networking, from addressing schemes and namespaces to the basic notion of a segmented, routing-based design.In addition to adopting virtualization technologies, many enterprises today operate an IP converged network for voice, data, and video traffic. While existing networks can provide differentiated QoS levels for different applications, the provisioning of those resources is highly manual. IT must configure each vendor's equipment separately, and adjust parameters such as network bandwidth and QoS on a per-session, per-application basis. Because of its static nature, the network cannot dynamically adapt to changing traffic, application, and user demands.
  2. Multitenancy refers to a principle in software architecture where a single instance of the software runs on a server, serving multiple client-organizations (tenants). Multitenancy contrasts with multi-instance architectures where separate software instances (or hardware systems) operate on behalf of different client organizations. With a multitenant architecture, a software application is designed to virtually partitionits data and configuration, and each client organization works with a customized virtual application instance, thus customers do not share or see each other's dataWhile in virtualization, components are abstracted enabling each customer application to appear to run on a separate physical machineCost: An application instance usually incurs a certain amount of memory and processing overhead which can be substantial when multiplied by many customers, especially if the customers are small. Multitenancy reduces this overhead by amortizing it over many customers. Put crudely, if you can run everything on a single software instance, you only have to buy one software license. The cost savings can be eclipsed by the difficulty of scaling the single instance as demand grows,development of multitenant systems is more complex, and security testing is more stringent owing to the fact that multiple customers' data is being co-mingled.