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4/8/2014 1 Software-Defined Networking Prasad Calyam, Ph.D. Spring 2014 VIMAN Lab Cloud Computing Research Cloud Resource Allocation Computer and network virtualization models, algorithms, tools Cloud Monitoring Software-defined measurements and performance diagnosis Cloud Testbeds for Apps, Marketplaces e.g., Manufacturing/Healthcare/Education Cloud Security Cyber attacks, Authentication, Authorization, Policy 2 http://people.cs.missouri.edu/~calyamp

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Page 1: VIMAN Lab Cloud Computing Research - University of …reu.cs.missouri.edu/REU14/resources/SDN_MU-Sp14_C… ·  · 2015-05-27VIMAN Lab Cloud Computing Research ... – Maintains logical

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1

Software-Defined Networking

Prasad Calyam, Ph.D.

Spring 2014

VIMAN Lab Cloud Computing Research

• Cloud Resource Allocation – Computer and network virtualization models, algorithms, tools

• Cloud Monitoring – Software-defined measurements and performance diagnosis

• Cloud Testbeds for Apps, Marketplaces – e.g., Manufacturing/Healthcare/Education

• Cloud Security – Cyber attacks, Authentication, Authorization, Policy

2

http://people.cs.missouri.edu/~calyamp

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2

Discussion Topics

• Traditional Networking versus Software-Defined Networking

– Overlay Networking

– Network Function Virtualization

– OpenFlow Protocol for SDN

– SDN Programming for Applications

– SDN Experiments on Real Cloud Platforms

3

Discussion Topics

• Traditional Networking versus Software-Defined Networking

– Overlay Networking

– Network Function Virtualization

– OpenFlow Protocol for SDN

– SDN Programming for Applications

– SDN Experiments on Real Cloud Platforms

4

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Evolution of Big Data

Computational

Last

few decades

Analytical

Experimental

Thousand

years ago

Today and the Future

Theoretical

Last few

hundred years

2

2

2.

3

4

a

cG

a

a

Simulation of

complex phenomena

Newton’s laws,

Maxwell’s equations…

Description of

natural

phenomena

Unify theory, experiment and

computation with large

multidisciplinary Big Data

Using data exploration and data

mining (from instruments, sensors,

humans…)

7

End-to-End Overlay Networks

8

Big Data handling requires overlay networking, especially for satisfying real-

time application requirements!

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GENI: Infrastructure for Overlay Experimentation

GENI provides compute resources that can be connected in experimenter specified topologies. (Funded by NSF for Future Internet Experiments)

GENI provides compute resources that can be connected in experimenter specified Layer 2 topologies.

GENI: Infrastructure for Experimentation

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Inter aggregate connectivity

Experiments live in isolated “slices”

How are these links formed?

Unified Resource Broker (URB) Distributed Control: Network

Provisioning Issues

How can we centrally create intelligent

overlay network infrastructures?

Centralized Control:

Inherent Benefits

12

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Distributed/Centralized Switch Control Architecture

• Distributed Control

• Centralized Control

13

Discussion Topics

• Traditional Networking versus Software-Defined Networking

– Overlay Networking

– Network Function Virtualization

– OpenFlow Protocol for SDN

– SDN Programming for Applications

– SDN Experiments on Real Cloud Platforms

14

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Network Virtualization

• Virtualizes a physical network interfaces as a virtual network

interface; user flows are treated as ‘virtual tenant’ flows

– This layer sits in between Layer 2 and Layer 3 (i.e., Layer 2.5)

and uses encapsulation (i.e., Mac-in-UDP) for Layer 2 elasticity

and IP address localization

• Enables VM migration, virtual tenancy – across multiple Layer 2

domains!

– Typical protocols: OpenFlow, Overlay Transport Virtualization

(OTV), VXLAN

Controller

15

Network Function Virtualization Source: Nicira/VMware

16

• vSwitch and Stateless Transport Protocol (STT) allow running a custom network protocol over a network built for a different protocol

– STT enables transporting Ethernet data inside IP packets

• Open vSwitch is a virtual switch used as the network stitching component in the hypervisor – Maintains logical state of VM’s network connection across physical hosts when VM is migrated

– Managed and monitored by OpenFlow, NetFlow and others

See - http://openvswitch.org/

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SDN Related Work

Related Work Features

NEC ProgrammableFlow Matching of packet flows based on the IP

addresses, MAC addresses and the port

numbers

Cisco Overlay Transport

Virtualization (OTV)

MAC-in-IP, Multi-point Tunneling using IP

Multicast

VMware Virtual Extensible LAN

(VXLAN)

MAC-in-UDP, 24-bit LAN segment identifier

Virtual Private LAN Service (VPLS) Multi-point to multi-point communication

over IP/MPLS networks

17

Discussion Topics

• Traditional Networking versus Software-Defined Networking

– Overlay Networking

– Network Function Virtualization

– OpenFlow Protocol for SDN

– SDN Programming for Applications

– SDN Experiments on Real Cloud Platforms

18

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OpenFlow is an API

• Controller has to populate forwarding table of the switch – Controls how packets are forwarded through a

network path

– In a table miss, switch asks the Controller

• Controller reserves “flow space” in a Slice – Installs flow entries either ‘proactively’ or

‘reactively’ in switches

– Once flow is setup, subsequent traffic does not go through the controller

• Controller is responsible for all traffic, not just your application! – Should handle: ARPs, DHCP, etc.

• Implementable on Commercial off-the-shelf (COTS) hardware – Make deployed networks programmable; Not just

configurable

21

Virtual Data Center Example

Data Center OpenFlow Switches Thin-clients

Unified Resource Broker

Connection Broker

Marker Packet Handler

Packet Capture

OpenFlow Switch

Flow tables Group Tables

Data Plane

Packet/Flow Inspector

Routing Engine

Thin-client

Virtual Desktop

Secure Channel

User Applications

Hypervisor

Security Token RDP/PCoIP Server

Active Directory

RDP/PCoIP Client

Load Balancing

Control

Plane

Service Engine

Measurement

Plane

System Provisioning

File System

Resource Optimization

Secure

Channel

Control

Plane

OpenFlow

Controller

Measurement Engine

Active Measurement

Congestion Detection

Fault Detection

22

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Debugging OpenFlow Networks is Hard!

• Mininet

– Before actual deployment, test your OpenFlow Controller in the

Mininet network emulation tool with ‘virtual switches & hosts’

• OVS (Open vSwitch) virtual switch software or a “soft switch” is

used in Mininet

– Does not require the initial network co-ordination for Controller

setup, and also does not require console access to switches

– Requires an OpenFlow Controller Application Framework

• Floodlight, POX, OpenDaylight, Beacon, Trema, …

– http://yuba.stanford.edu/~casado/of-sw.html

– http://groups.geni.net/geni/wiki/OpenFlow/Controllers

– Wireshark helps with debugging control flows of your OpenFlow

Controller application

23

OpenFlow Controller Flavors

24

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Floodlight Controller REST API

25

Wireshark for Debugging your OpenFlow Controller!

Virtual Ethernet ports for each switch

OpenFlow Protocol packet analysis

26

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Discussion Topics

• Traditional Networking versus Software-Defined Networking

– Overlay Networking

– Network Function Virtualization

– OpenFlow Protocol for SDN

– SDN Programming for Applications

– SDN Experiments on Real Cloud Platforms

27

GENI/SDN Lab Steps

• Lab Experiment – QoS Configuration and Load Balancing using Software Defined Networking/OpenFlow

• Purpose of the Lab – Install and configure Mininet SDN emulator with 2 traffic engineering

experiment applications to understand how to program ‘flow spaces’ within networks to: (i) comply with enterprise network capacity provisioning policies, and (ii) balance the utilization of network resources

– Use Iperf and Ping Tools to verify your SDN functionality

Mininet Installation Floodlight OpenFlow

Controller installation

QoS Configuration in Controller

Application

QoS Experimentation using Iperf Tool

Floodlight OpenFlow

Controller installation

Load Balancer

Configuration in Controller Application

Load Balancing

Experimentation using Ping Tool

Lab Experiment #1 (QoS Control through Network-Edge Rate Limiting) Steps Overview

Lab Experiment #2 (Load Balancer for Scalable Handling of Traffic Flows) Steps Overview

28

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SDN/GENI Lab Experiment #1

• Use the OpenvSwitch commands to set the network policies

• Setup 3 queues (Q0, Q1 and Q2) on every switch and configure

network-edge bandwidth capacity using the ‘ovs-vsctl’ commands

– Q0 – default queue

– Q1 – queue 1 rate limiting bandwidth to 50 Mbps

– Q2 – queue 2 rate limiting bandwidth to 40 Mbps

29

SDN/GENI Lab Experiment #2

• Use a Load Balancing experiment topology with pools of end-hosts and load balancers – Test load balancing functionality with Ping requests from end-hosts

• Extend the ‘Load Balancing’ module in your Floodlight Controller – Scale the load balancer to handle more Ping requests by adding two new

hosts to the load balancer pool

– Examine the response patterns from end-host Ping responses

30

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16

In-class Exercise

• What emerging technologies can you think that SDN will enable in the next “Hype Cycle(s)”?

– Location-aware Apps

– Virtual Assistants; Virtual Worlds

– Social Analytics based Mobile Services

– Augmented Reality

– Desktop-as-a-Service

– Simulation-as-a-Service

– Remote Elder-care

– ….others

See US Ignite – http://us-ignite.org/next-gen-applications that is fostering creation of next-generation Internet applications that provide transformative public benefit

31

Discussion Topics

• Traditional Networking versus Software-Defined Networking

– Overlay Networking

– Network Function Virtualization

– OpenFlow Protocol for SDN

– SDN Programming for Applications

– SDN Experiments on Real Cloud Platforms

32

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17

Science DMZ Use Case with OpenFlow

Gatekeeper Proxy

Middleware

Extended VLAN Overlay

Science

Application

Science

Application

Software-Defined

Network

Remote

Collaborator

Instrument Site on

CampusScience

Application

Normal

Application

Campus

Network

Cam

pu

s A

cces

s

Netw

ork

Ca

mp

us

Acc

ess

Netw

ork

Public Cloud

Science

Application

Dir

ect

Con

nec

t

Netw

ork

Web Application

IP

Network

33

Science DMZ Flow Orchestration with OpenFlow

Extended VLAN Overlay

Imaging MicroscopeImage Processing

Cluster

Campus-A Edge Campus-B Edge

Gatekeeper Proxy Middleware

OpenFlow ControllerAuthenticated

Researcher

Performance

Engineer

1. Define application end-points

and monitoring objectives

Service Engine Measurement EngineRouting Engine

3. Install HTC flow 3. Install HTC flow

2. Provision policy-directed flow rules

Campus-A Firewall Campus-B FirewallIP

Network

Non-IP

Network

3. Install measurement flow

4. Non-Science DMZ flow

4. Authorized HTC flow4. Authorized measurement flow

Legend:

Data Flow

Control Flow

34

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Virtual Desktop Clouds (DaaS)

“Brain of the Cloud”

35

Example DaaS Use Cases

(a) Virtual classroom lab involving faculty and students

(b) Computationally intensive interactive applications for biomedical community (e.g., remote volume visualization)

(c) Simulation-as-a-Service requiring HPC resources for advanced manufacturing

(d) ElderCare-as-a-Service requiring proactive medical intervention for health care

(e) Virtual desktops for underserved communities

36

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VIMAN Lab’s “VDC-Analyst” Leveraging OpenFlow for Resource Placement of Virtual Desktop Cloud Applications

VD Provisioning and Placement

GENI Slice Testbed for VDC Hosting

• VDC-Analyst → GENI

• Design & Development →

Validation and design tuning

• Large-scale simulations →

Cloud deployment experiments

37

VDC-Analyst Features

‘Run Simulation’

(Offline)

‘Run Experiment’

(In GENI) Net-utility per

experiment run

Resource allocation of

thin-clients to data centers

38

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VDC-Analyst Use Cases

• Research

– Plug-in new provisioning and placement schemes

– Study cloud dynamics to see how they affect net-utility

• Education

– Explore server-side adaptation

• E.g., write a macro script to reduce user interaction round-trips for control actions during network health bottlenecks

– Explore client-side adaptation

• E.g., select thin-client encodings that delivers best QoE for different user groups – knowledge worker vs. designer/artist

– Explore network-side adaptation

• E.g., ??

39

Problem Scope

• To use OpenFlow for dynamic resource placement of VD

applications via an URB

– Provisioning of non-IP VD application traffic flows between thin-

client sites and data centers

– Path selection and load-balancing of VD flows to improve

performance of interactive applications and video playback

– Leveraging in-band instrumentation and measurement to gather

performance intelligence on cross traffic impact affecting VD

– Automated management and centralized network control

40

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Marker Packet Header Format

41

OpenFlow

Switch

OpenFlow

Controller

Smart

Thin-client

Virtual

Desktop

Join OpenFlow network

Install flow rules for

marker packets

Send marker packet to

request virtual desktop

Recognize and punt

the marker packet

Parse marker packet and

install client/server flows

Access virtual

desktop applications

Flow Setup Sequence Diagram

1

2

3

4

5

6

42

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VDC-Analyst Experiment w/o Load-Balancing

43

VDC-Analyst Experiment w/ Load-Balancing

44

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OpenFlow Switch

Client In Port

Out Port

SUNNW PG48 50 51

SUNNW PG49 50 51

ATLANTA PG46 52 52

ATLANTA PG47 52 52

ATLANTA PG46 20 52

ATLANTA PG47 20 52

VDC-Analyst OpenFlow Demonstration

Route setup Step-1 Cross-traffic Impact

Step-2 Load-balancing Improvement Step-3

OpenFlow Switch

Client In Port

Out Port

ATLA PG46 20 52

ATLA PG47 20 52

OpenFlow Switch

Client In Port

Out Port

ATLANTA PG46 20 52

ATLANTA PG47 20 52

SUNNW PG48 50 52

SUNNW PG49 50 52

Video runs smooth, GUI applications are responsive

Video freezes, disconnects, GUI applications are not responsive

Video runs smooth, GUI applications are responsive

45

0.21

15.36

0

5

10

15

20

Application Cross-Traffic

VDC-Analyst OpenFlow Demonstration

Route setup Step-1 Cross-traffic Impact

Step-2 Load-balancing Improvement Step-3

Video runs smooth, GUI applications are responsive

Video freezes, disconnects, GUI applications are not responsive

Video runs smooth, GUI applications are responsive

Bandwidth Consumed (Mbytes/s)

4.45

14.8

0

5

10

15

20

Application Cross-Traffic

4.6

0 0

5

10

15

20

Application Cross-Traffic

46

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Simulation-as-a-Service

47

ElderCare-as-a-Service

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Further Reading

• GENI – http://www.geni.net

• Open Networking Foundation - https://www.opennetworking.org

• Select papers network and server adaptation for scientific

applications on virtual desktops:

– P. Calyam, S. Rajagopalan, S. Seetharam, A. Selvadhurai, K. Salah,

R. Ramnath, “VDC-Analyst: Design and Verification of Virtual

Desktop Cloud Resource Allocations”, Elsevier Computer Networks

Journal (COMNET), 2014.

– P. Calyam, S. Rajagopalan, A. Selvadhurai, S. Mohan, A.

Venkataraman, A. Berryman, R. Ramnath, “Leveraging OpenFlow

for Resource Placement of Virtual Desktop Cloud

Applications”, IFIP/IEEE International Symposium on Integrated

Network Management (IM), 2013.

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