Software Defined Networking Subtitle: Network Virtualization Terry Slattery Chesapeake NetCraftsmen Principal Consultant CCIE #1026.



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Transcription:

Software Defined Networking Subtitle: Network Virtualization Terry Slattery Chesapeake NetCraftsmen Principal Consultant CCIE #1026 1

What is Virtualization? Virtual Existing or resulting in essence or effect though not in actual fact, form, or name: the virtual extinction of the buffalo. (The Free Dictionary) Not physically existing as such but made by software to appear to do so: "virtual images". (Google) Something that you can use as if it were real. Virtual memory and virtual disks are used as if they are real, but are built from multiple underlying components that may be different than the physical entities. Driven by queuing theory: shared resource pools are more efficiently utilized than individual pools 2

Memory Virtualization Precursor was memory overlays Programmer designed overlays and controlled transitions VM made programming more efficient Automatically handled loading data and instructions into RAM LRU algorithms balanced inefficiencies of manual tuning Programmer efficiency increased Abstraction on top of physical memory Hides complexity Wikipedia Image 3

Disk and Storage Virtualization In the old days Similar to old memory allocation mechanisms Admins specified disk partitions & assigned data Required advanced planning and usage estimates Changing partition size was a manual process Virtual disk partitions Resize by adding/removing slices Increase of administrator efficiency offsets mapping to physical disk Storage abstraction on top of physical disk space Hides complexity 4

CPU Virtualization Large resource pool drives greater usage efficiency oracle.com Abstraction of Virtual Machines running on physical compute clusters Use of stock OS installations improves system administrator efficiencies Hides complexity 5

Combining Virtualization computertraining2011.blogspot.com 6

What About Network Virtualization? L2 (Ethernet example) Start with coax Multi-port transceivers (Cabletron) Multi-LAN chassis (Cabletron) VLANs Q in Q, VXLAN, NVGRE, etc L3 MPLS (and other L3 tunnel technologies) L2-L4 abstraction - simplifies networks and hides complexity? 7

Data Plane Abstractions OSI data layering model Some inefficiency Simplifies design and implementation Hides details and complexity of lower layers Application Presentation Session Transport Network Data Link Physical 8

Control Plane Abstractions No layering Complexity is not hidden Baroque interfaces between protocols STP 9

Combining Network Virtualization Needed: control plane + data plane abstractions Create a L3 domain to handle Internet HTTP to N servers in data center 1, with basic security and load balancing Add/remove servers to the Internet HTTP domain as load changes Opportunity: Merge with compute virtualization? More powerful and more useful abstractions Implies greater ease of use (lower admin effort/cost) 10

What Is SDN? Network virtualization Create control plane abstractions Hide complexity Cleaner interfaces Cost: some network efficiency lost Benefit: Stability, efficiency of use Think: VMware for networking Decoupling the logical from physical resources The future of networking lies in cleaner abstractions. SDN is merely a set of abstractions for the control plane. Scott Shenker 11

OpenFlow SDN started with OpenFlow API to allow apps to program forwarding tables in switches Relatively new protocol ACM paper by Nick McKeown, OpenFlow: Enabling innovation in campus networks, April 2008 OpenFlow 1.0: Dec 31, 2009 OpenFlow 1.3.1: Sept 2012 Centralized controllers are not new OpenFlow doesn t let you do anything you couldn t do on a network before. Scott Shenker 12

OpenFlow OpenFlow is an open standard that enables researchers to run experimental protocols in the campus networks we use every day. - openflow.org openflow-spec-v1.1.0 13

OpenFlow Processing openflow-spec-v1.1.0 14

OpenFlow Packet Forwarding Engine Match, Action Actions: forward, drop, push/pop a new header, modify header fields, or forward to controller Counters kept on all flow entries sdncentral.com 15

OpenFlow Designed for Research OpenFlow is an open standard to deploy innovative protocols in production networks. 16

Will OpenFlow Scale for Production? 17

OpenFlow Limitations Insufficient functionality Need non-flow configuration (see OF-Config 1.1) Need new abstractions to simplify networking and reduce the potential for errors Scaling problems Per-flow processing in a big DC (10M flows/sec?) Multiple control points (flow rate X control points) TCAM size limits (particularly in ToR switches) (bradhedlund.com & ioshints.info) Scaling mechanisms will need to be developed 18

What Is SDN? Means different things to different people It is NOT OpenFlow! It is a paradigm shift My definition High level abstraction of the control plane Virtualize the network Can work with the network on a conceptual basis without mapping to the physical elements Implication: It changes the deployment and business models 19

True Network Virtualization MidoNet solution diagram provided by Midokura 20

SDN Anatomy SDN Controller System Simple Packet Forwarding Engines Scott Shenker, ONS 11 talk 21

Network Virtualization Migrate L2-L4 along with the VM Migrate Load Balancers and Security It s why VMWare bought Nicira for $1.2B Example: How does traditional SNMP counter handling work with VM migration? Need to move counters along with the CPU, Memory, Storage, and Network 22

SDN Guidelines Handle complexity (ACL, QoS, mobility) at the edge (in vswitches) Overlay the physical network with a virtual network Switches may use tunneling to forward packets Don t need to upgrade your hardware switches Controller is logically centralized We ll see how this turns out 23

SDN Hype Centralized management and control of multi-vendor networks Redundant controllers - split brain operation In-band or dedicated management network? What about linecard protocols (e.g., BFD)? Scaling issues to be identified and solutions developed Uniform policy deployment Requires uniform policy definitions Existing configuration management systems marginally successful; changing the mechanism won t fix it UI and API to define policy and exceptions Better QoS and TE configurations? 24

SDN Hype Fewer configuration errors Errors propagate faster; bigger impact Controllers must be smarter to avoid common errors Configuration library is needed Similar to software development abstractions Eliminate sources of errors Increase scalability and optimum forwarding Per-flow forwarding decision making doesn t scale RTT to controller is too expensive Fallback operation if controller doesn t respond Use aggregate flow entries Other optimizations To Be Developed 25

SDN Hype Integrated security It Depends How complete a solution? Pure OpenFlow? Basic security is possible Virtual appliances with a virtual network overlay are a more complete solution Load balancing Load balancer built in 500 lines of code YouTube: Aster*x: Load-balancing as a network primitive, Nikhil Handigol No additional hardware; just smart routing 26

SDN Hype Per-tenant QoS Certainly at the edge Must still handle shared BW on aggregation links Expect vendor extensions Differentiation between vendors Customer lock-in 27

Is SDN a Fad? East-West flows dominate DC traffic Shared resource pool is more efficient Rate of change at the edge is increasing But the network s ability to effect change is lagging Need automated, multi-vendor methods for network configuration management CLI isn t sufficient 28

What I See Coming SDN is not a fad It will be different than the current hype Good benefits Worth the pain of transition The current pain makes it worth the transition Hides network complexity (doesn t reduce it) Don t throw out good network design practices Managing an SDN will be different 29

System View of the Network We ve needed a system view of the network Difficult with device-centric systems Logically-centralized system Central point of control Should be physically distributed Examples: Network-wide QoS with a consistent UI Load balancing when and where you need it 30

Improved Traffic Engineering Central view of traffic engineering Direct traffic where you want it and via which links Routing protocols pull traffic Policy routing is too manual and device-centric Google improved WAN utilization (40% to 90%+) Load distribution over many paths Central controller can use historical flow information 31

New Protocol Development 1. Intercept OpenFlow messages (both directions) 2. Policy check Which slice? Valid operation? 3. Forward message (rewrite if needed) 4. Pass return messages to the correct controller FlowVisor: A Network Virtualization Layer 32

Rapid Provisioning and Migration What s your provisioning time? Migration time? Building an agile data center UI + API to provision CPU, Memory, Storage, & Network together Easily move workloads for energy savings Turn off unused switch ports as well as servers 33

Use Cases Reduce Data Center L2 Reduces the need for large DC L2 domains Overlay L2-L4 over a well-designed network 34

Use Cases Multi-tenant Networks Use their own L3 addressing Virtual overlay networks Dynamic remapping of the ports in the virtual networks Avoids VLAN number exhaustion Alternatives can be made to work VXLAN, NVGRE Aren t as comprehensive Tenant 1 Tenant 2 Tenant 3 35

Other Use Cases Energy reduction practices opennetworking.org video IPv6 address tracking ioshints.info tip SPAN traffic selection and director Provisioning for Big Data analysis Observation: multiple technologies to address the suite of use cases 36

Integration With the Rest of the Network Run L2 or L3 protocols at the edge SDN cloud can look like one router/switch Controller runs routing protocols Switches forward routing protocol packets to controller Expect interesting failure modes and bugs 37

Troubleshooting Will Change Controller connectivity problems In-band path to switches Connectivity may need to be repaired first <diagram of problem?> Out of band path to switches Separate network to provision and manage Use SDN with in-band communications on control network? (Vicious cycle?) Split brain situations 38

Do We Need SDN? Network Configuration Manual processes don t scale Long deployment times Inconsistent policy implementation Multi-vendor, typically via CLI, is hard Multiple technologies to achieve similar solutions Interactions between and support of the technologies Layering functions on top of one another; additional complexity 39

Not likely Will SDN Eliminate Jobs? Daily workload will change Software and scripting experience will help Shift to more valuable tasks 40

Proof of Concept Begin experimenting with SDN Begin learning some of the lessons Evaluate controllers and switches Improve corporate IT systems agility $100K - $500K cost (switches, controller, staff cost) Ongoing platform for evaluating and debugging network-aware apps Begin organizational transition Culture Developing lines of communication Proactive adoption 41

Predictions Some SDN protocols will run in the network device Local decisions for non-stop operation, performance, and scaling Line card protocols will run locally, communicating with SDN controller Scaling issues will be addressed May operate like IPmc flow starts on the default path, then switches to the optimum path. Virtual networks will simplify the common case New failure modes and troubleshooting tips Widespread adoption in 5 years 42

Questions I Have What do the controller abstractions look like? Defining a group of devices/interfaces to apply a policy What do policies look like? Set all interfaces with characteristic X to 100/Full Map flows to web server Y to distributed cluster Z Apply QoS/security policy to all interfaces like X System monitoring and management SNMP isn t sufficient - slow to develop/change Do the abstractions match? How are error conditions reported? 43

Summary SDN is a disruptive technology It will look different than it does today New design rules, new challenges Big changes ahead It will be an exciting journey 44

Questions? Further Reading http://www.nec-labs.com/~lume/sdn-reading-list.html Network Virtualization bradhedlund.com blog.ioshints.info Scott Shenker Gentle Introduction to SDN (YouTube) OpenFlow opennetworking.org Georgia Tech SDN MOOC coursera.com Enterprise Data Center Security with Software Defined Networking IBM pdf http://www.imsaa.org/tutorial_4.pdf Terry Slattery Chesapeake Netcraftsmen 45