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Network and Service Virtualization tutorial at ONUG Spring 2015SDN Hub
Tutorial at ONUG Spring 2015 on Network and Service Virtualization. The tutorial covers three converging trends 1) Network virtualization, 2) Service virtualization, 3) overlay networking for Docker and OpenStack. The talk concludes with pointers to the hands-on portion of the tutorial that uses LorisPack, and the operational lessons learned.
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Eric Lopez, VMware
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Sameh Zaghloul
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+2 0100 6066012
zaghloul@eg.ibm.com
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Sameh Zaghloul
Technology Manager @ IBM
+2 0100 6066012
zaghloul@eg.ibm.com
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SDN Technology Survey
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SDN Online Courses
SDN Lab SW Tools
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- FloodLight – SDN Controller
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SDN Project
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Principal Engineer
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ONS2015: http://bit.ly/ons2015sd
ONS Inspire! Webinars: http://bit.ly/oiw-sd
Watch the talk (video) on ONS Content Archives: http://bit.ly/ons-archives-sd
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Midokura has made the source code for MidoNet freely available at www.midonet.org, delivering the truly open, vendor-agnostic network virtualization solution available for the OpenStack and the Docker community.
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IT organizations around the world are transforming data center operations and economics by virtualizing their networks. Much like server virtualization decoupled VMs from the underlying X86 server hardware transforming the operational model of compute, network virtualization decouples software-based virtual networks from the underlying network hardware to enable a new operational model for networking. Deployed non-disruptively on any existing network without change, network virtualization transforms the physical network into a pool of capacity that can be consumed and repurposed on demand.
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Agenda Highlights:
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Introduction to SDN: Software Defined NetworkingAnkita Mahajan
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A look at cloud network virtualization requirements, several implementation options, a retrospective on Neutron, and a presentation of the state of the art of Network Virtualization Overlays.
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IT organizations around the world are transforming data center operations and economics by virtualizing their networks. Much like server virtualization decoupled VMs from the underlying X86 server hardware transforming the operational model of compute, network virtualization decouples software-based virtual networks from the underlying network hardware to enable a new operational model for networking. Deployed non-disruptively on any existing network without change, network virtualization transforms the physical network into a pool of capacity that can be consumed and repurposed on demand.
You will learn how, today, companies like AT&T, NTT, eBay and Rackspace have transformed their operational model and reduced network provisioning time from days/weeks to seconds. You will learn how network virtualization, OpenStack cloud management and Chef automation can be leveraged together and examine the architectural decisions you should be considering now to prepare for this transformation
VMware NSX provides a platform for deployment of software-defined network (SDN) and network function virtualization (NFV) services across physical network devices in a way that is analogous to server virtualization.
Guido Appenzeller
CEO
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Presentation from October 2012 RTI Technical Road Show.
Agenda Highlights:
How the DDS standard fosters information sharing and interoperability across systems of systems while driving down development, integration, maintenance, upgrade and acquisition costs
The latest 5.0 release of RTI's DDS solution and future roadmap, including enhanced security, support for integration patterns common in C2 systems, FAA DO-178C Level A certification, and DDS standardization initiatives
RTI's new Open Community Source license, which provides free-of-charge access to RTI DDS and allows it to be freely shared across projects and organizations
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Seven Trends In Information Architecture, Berlin 2006Eric Reiss
I held this talk at EuroIA in Berlin, Germany back in September of 2006. I'm uploading it now (December 2009) because I'm amazed at how much is still relevant.
Enterprise Datacenter Virtualization und Cloud Computing stellen neue Anforderungen an das Netzwerk. Traditionsgemäss wurden virtuelle Workloads über als Bridge fungierende virtuelle Switches mit VLANs auf dem physischen Netzwerk verbunden. Mit dem Wachstum der Anfordungen an Skalierung und Automatisierung stossen diese Modelle an Grenzen.
Thomas Graf bot an diesem OpenTuesday einen Einblick in Protokolle und Technologien wie OpenFlow, VXLAN, OpenStack Neutron und Open vSwitch, die eingesetzt werden, um neue automatisierte Netzwerkkonzepte der nächsten Generation, wie Software Defined Networking oder Network Function Virtualization, umzusetzen.
Overview of OpenStack nova-networking evolution towards Neutron. Architecture overview of OVS plugin, ML2, and MidoNet Overlay product. Overview and example of Heat templates, along with automation of physical switches using Cumulus
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6WINDGate™ - Enabling Cloud RAN Virtualization6WIND
Traditional mobile networks are based on stand-alone Base Transceiver Stations covering a radio area. BTS overlap to provide a wide coverage to mobile users and are connected to the mobile core network through a backhaul network. Cloud Radio Access Network is a new architecture for mobile access networks that rely on simple radio front-ends connected to a pool of remote network resources. By leveraging cloud infrastructures, CAPEX and OPEX is lowered substantially.
Tech Talk by John Casey (CTO) CPLANE_NETWORKS : High Performance OpenStack Ne...nvirters
OpenStack is HOT! No doubt about it. A recent survey by The New Stack and The Linux Foundation shows OpenStack as the most popular open source project ahead of other hot projects like Docker and KVM. OpenStack is now taking its rightful place as the open source cloud solution for enterprises and service providers.
To date OpenStack networking has not yet achieved the performance, scalability and reliability that many large enterprises demand. CPLANE NETWORKS solves that problem by delivering secure multi-tenant virtual networking that overcomes the limitations of the standard Neutron networking service. By making all networking services local to the compute node and achieving near line-rate throughput, CPLANE NETWORKS Dynamic Virtual Networks (DVN) delivers mega-scale networking for the most demanding application environments.
In this session John Casey will cover the basics of DVN and explain how CPLANE NETWORKS achieves "at scale" network performance within and across data centers.
About John Casey
John Casey has over 20 years of deep technology leadership. His proven success with a variety of technical leadership roles in Telecom, Enterprise and Government and in software design and development provide the foundation for the system architecture and engineering team.
Previously John led worldwide deployment teams for both IBM’s Software Group and Narus, Inc. His work in large scale, high performance system design at Transarc Labs and Walker Interactive Systems brings leadership to the CPLANE NETWORKS product suite.
Optimising nfv service chains on open stack using dockerAnanth Padmanabhan
Uploading slides presented in the OpenStack summit, at Austin in April, 2016. Here is the link to the video,
https://www.openstack.org/videos/video/optimising-nfv-service-chains-on-openstack-using-docker
Uploading slides presented in the OpenStack summit, at Austin in April, 2016. Here is the link to the video,
https://www.openstack.org/videos/video/optimising-nfv-service-chains-on-openstack-using-docker
Software Defined Networking is seeing a lot of momentum these days. With server virtualization solving the virtual machines problem, and large scale object storage solving the distributed storage challenge, SDN is seen as key in virtual networking.
In this talk we don't try to define SDN but rather dive straight into what in our opinion is the core enabled of SDN: the virtual switch OVS.
OVS can help manage VLAN for guest network isolation, it can re-route any traffic at L2-L4 by keeping forwarding tables controlled by a remote controller (Openfow controller). We show these few OVS capabilities and highlight how they are used in CloudStack and Xen.
Xen Summit presentation of CloudStack and Software Defined Networks. OpenVswitch is the default bridge in Xen and supported in XenServer and Xen Cloud Platform
VMworld 2013: Bringing Network Virtualization to VMware Environments with NSX VMworld
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Rajiv Krishnamurthy, VMware
Manish Mittal, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
VMworld 2013: Virtualized Network Services Model with VMware NSX VMworld
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Arun Goel, VMware
Serge Maskalik, VMware
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Turbocharge the NFV Data Plane in the SDN Era - a Radisys presentationRadisys Corporation
On October 8, 2014, Karl Wale (Director of Product Management) and James Radley (Architect) presented: Turbocharge the NFV Data Plane in the SDN Era. This expert duo discussed the evolution of the network and service provider objectives around the challenges of deploying SDN/NFV solutions. They take you through some application use cases and introduce the new Radisys FlowEngine data plane software technology.
Dr. Christos Kolias – Senior Research Scientist
Keynote Title: “NFV: Empowering the Network”
Keynote Abstract: Network Functions Virtualization (NFV) envisions and promises to change the service provider landscape and has emerged as one of one of today’s significant trends. Although less than two years old, NFV has garnered the industry’s full attention and support. Moving swiftly, a number of key accomplishments have already taken place, and a lot more work is currently under way within ETSI NFV while we are embarking on its future phase. Various proofs-of-concepts (ranging from vEPC to vCPE, vIMS and vCDN) are being developed while issues such as open source and SDN are becoming key ingredients as the can play a pivotal role.
Dr. Christos Kolias' Bio: Christos Kolias is a senior research scientist at Orange Silicon Valley (a subsidiary of Orange). Christos is a co-founder of the ETSI NFV group and had led the formation of ONF’s Wireless & Mobile working group. He has lectured on NFV and SDN at several events. Christos has more than 15 years of experience in networking, he is the originator of Virtual Output Queueing (VOQ) used in packet switching. He holds a Ph.D. in Computer Science from UCLA.
---------------------------------------------------
★ Resources ★
Zerista: http://lcu14.zerista.com/event/member/137765
Google Event: https://plus.google.com/u/0/events/cpeksim4hr4ghhuufv5ic4viirs
Video: https://www.youtube.com/watch?v=tFDnj_342n4&list=UUIVqQKxCyQLJS6xvSmfndLA
Etherpad: http://pad.linaro.org/p/lcu14-400a
---------------------------------------------------
★ Event Details ★
Linaro Connect USA - #LCU14
September 15-19th, 2014
Hyatt Regency San Francisco Airport
---------------------------------------------------
http://www.linaro.org
http://connect.linaro.org
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2. Agenda
What is Driving Network Change
Cloud Network Requirements
Why Not Traditional Networking
Network Virtualization Overlays
Neutron?
MidoNet
1
3. Forces are Reshaping Networking…
Big Web Cloud
Computing
Big
Data
Customer Focus – $ / Node & Port
Azure
Mobile
2
4. IoT and Big
Data
Networking is Experiencing Rapid Change
Services and applications are
moving to the Cloud; workloads
are moving to a virtualization
environment; DevOps
networking adoption
Hardware is commoditized; many
players delivering high-throughput
switching at extremely low prices
Open Source and Service Orientation supports flexibility,
innovation, vendor agnostic design, self-service, shorter
development times and faster time to market
Cloud
Computing
White-box
Hardware
IoT and Big Data impact networks requiring
distributed datacenters and agility to enable
real-time event responses
Open
Source and
Service
Orientation
14. Bonus Requirements for NV
13
Integration with cloud or
virtualization management
systems.
Optimize network by exploiting
management configuration.
Single virtual hop for networking
services
Fully distributed control plane
(ARP, DHCP, ICMP)
15. Checklist for Network Virtualization
14
Multi-tenancy
Scalable, fault-tolerant devices
(or device-agnostic network
services).
L2 isolation
L3 routing isolation
• VPC
• Like VRF (virtual routing
and fwd-ing)
Scalable gateways
Scalable control plane
• ARP, DHCP, ICMP
Floating/Elastic Ips
Stateful NAT
• Port masquerading
• DNAT
ACLs
Stateful (L4) Firewalls
• Security Groups
Load Balancing with health checks
Single Pane of Glass (API, CLI, GUI)
Integration with management platforms
• OpenStack, CloudStack
• vSphere, RHEV, System Center
Decoupled from Physical Network
16. Why Traditional Networking Doesn’t Work
•For example
•VLANs for L2 isolation
•VRFs for L3 isolation
•Not Designed For Speedy Provisioning
•Not Designed For Scale
•Consider virtual endpoints
•Not Designed For Multi-tenancy
•Services are not elastic
15
29. Neutron
•Default Implementation Is Not Scalable
•L4 services (NAT) are still bottlenecks
•Using namespaces
•Agents have serious fault tolerance issues
•DHCP, MetaData, DNS
•Fundamentally hard to fix
28
31. 30
MidoNet Network Virtualization Platform
Logical L2 Switching - L2 isolation and path optimization with distributed
virtual switching
Interconnect with VLAN enabled network via L2 Gateway
Logical L3 Routing – L3 isolation and routing between virtual networks
No need to exit the software container - no hardware required
Distributed Firewall – Provides ACLs, high performance kernel integrated
firewall via a flexible rule chain system
Logical Layer 4 Load Balancer – Provides application load balancing in
software form - no need for hardware based firewalls
VxLAN/GRE – Provides VxLAN and GRE tunneling
Provides L2 connectivity across L3 transport. This is useful when L2 fabric
doesn’t reach all the way from the racks hosting the VMs to the physical L2
segment of interest.
MidoNet/Neutron API– Alignment with OpenStack Neutron’s API for
integration into compatible cloud management software
v
Any Application
MidoNet Network Virtualization Platform
Any Network Hardware
OpenStack/Cloud Management System
Distributed
Firewall
Layer 4
Load Balancer
VxLAN/GRE
Any Hypervisor
Logical L2 Logical L3 NAT
MidoNe
t/
Neutron
API
NAT – Provides Dynamic NAT, Port masquerading
32. MidoNet
31
Logical Topology
MidoNet Solution
1
Private IP
Network
MN
MN
MN
Internet
BGP
Multi
Homing
Physical Topology
MN
VM
VM
MN
VM
VM
MN
VM
VM
BGP
To ISP3
BGP
To ISP2
BGP
To ISP1
vPort
Provider
Virtual
Router
Tenant A
Virtual
Router
Tenant B
Virtual
Router
Virtual
Switch A1
Virtual
Switch A2
Virtual
Switch B1
vPort
vPort
vPort
vPort
vPort
Network State Database
MN MN MN
Tunnel
40. Distributed State
- VM sends first packet
- Kernel flow miss occurs; queues packet for
processing via Netlink
- MidoNet receives Netlink message for processing
Virtual Networking at the Edge
user space
kernel space
41. Distributed State
Virtual Networking at the Edge
user space
kernel space
MidoNet agent may query the
NSDB; then
- Locally processes packet
(virtual layer simulation)
- Installs local flow (drop/mod/fwd)
42. Virtual Networking at the Edge
user space
kernel space
Possible actions on flow table entry match:
- Set src/dst MAC to routerMAC/dstMAC
- Modify TTL
- Encapsulation with GRE or VXLAN + IP.
Key or ID tells dest host the destination vPort.
43. Virtual Networking at the Edge
Packet is delivered with overlay networking.
Destination host owns vport, identified by the
GRE key or VxLAN VNI.
49. 40Gb VxLAN Offloading: virtualized environments require high
throughput infrastructure
• Integration with Mellanox provides 40 Gbps
saturation
• VxLAN offloading improves CPU utilization levels
• Scale with performance through HW interconnect
• Increase throughput with offloading where no
offloading would otherwise have flat results
• High bandwidth can now be achieved in software
Performance
51. Open Source
•MidoNet was Open Sourced in November 2014
•www.midonet.org
•www.github.com/midonet/
•OpenStack and Docker need a high quality Open
Source NVO solution!
50
53. Network Operating System
•Linux is everywhere
•ONIE & Cumulus Linux
•We can run our software on it!
•Fabric Monitoring and Control
•Resource Monitoring
•Traffic Engineering
•ECMP enhancement
52
55. Cannot ignore the physical network
54
Dynamic changes to logical
network are not dependent on the
physical network configuration.
Sharing state to and from the
physical network can be
supplementary.
- Monitoring
- Traffic Engineering
57. Big Data
56
NOS centralizes information on
your network
We can start taking advantage of
this information
- Security
- Compliance
- Optimizing Networks
61. Distributed Flow-State
60
• MidoNet’s distributed architecture enables stateful
network functions at the edge
• Given the forward and return flows could have several
ingress and egress nodes, “interested sets” get hints
• Advantages include:
• Lower latency to process flows
• Independence from a centralized transaction, like a
database query
62. Distributed Flow-State
61
• For a new ingress flow, perform
flow computation when flow
state is created and store locally
• Prior to packet forwarding, the
ingress node determines the
interested set and then pushes
the flow state
63. Distributed Flow-State
62
• Flow state is leveraged by flow computation and tunnel
encapsulation
• Flow states are pushed between agents using Tunnel packets with
special tunnel key values indicating “flow state”
64. Distributed Flow-State
63
• “Fire and forget” flow state propagation allows the “interested set”
nodes to be informed without packet delay
• Asymmetrical data flow paths are easily handled given the flow
state is propagated to the “interested set” of nodes
65. Stateful port groups
64
• Create port-group for the stateful ingress port group
midonet-cli> port-group create name SPG stateful true
• Add the ports to be load balanced e.g. all uplinks on Provider Router
midonet> port-group pgroup0 add member port router0:port0
midonet> port-group pgroup0 add member port router0:port1