This presentation covers the basics about OpenvSwitch and its components. OpenvSwitch is a Open Source implementation of OpenFlow by the Nicira team.
It also also talks about OpenvSwitch and its role in OpenStack Networking
Pushing Packets - How do the ML2 Mechanism Drivers Stack UpJames Denton
Architecting a private cloud to meet the use cases of its users can be a daunting task. How do you determine which of the many L2/L3 Neutron plugins and drivers to implement? Does network performance outweigh reliability? Are overlay networks just as performant as VLAN networks? The answers to these questions will drive the appropriate technology choice.
In this presentation, we will look at many of the common drivers built around the ML2 framework, including LinuxBridge, OVS, OVS+DPDK, SR-IOV, and more, and will provide performance data to help drive decisions around selecting a technology that's right for the situation. We will discuss our experience with some of these technologies, and the pros and cons of one technology over another in a production environment.
OVN (Open Virtual Network) を用いる事により、OVS (Open vSwitch)が動作する複数のサーバー(Hypervisor/Chassis)を横断する仮想ネットワークを構築する事ができます。
本スライドはOVNを用いた論理ネットワークの構成と設定サンプルのメモとなります。
Using OVN, you can build logical network among multiple servers (Hypervisor/Chassis) running OVS (Open vSwitch).
This slide is describes HOW TO example of OVN configuration to create 2 logical switch connecting 4 VMs running on 2 chassis.
This presentation covers the basics about OpenvSwitch and its components. OpenvSwitch is a Open Source implementation of OpenFlow by the Nicira team.
It also also talks about OpenvSwitch and its role in OpenStack Networking
Pushing Packets - How do the ML2 Mechanism Drivers Stack UpJames Denton
Architecting a private cloud to meet the use cases of its users can be a daunting task. How do you determine which of the many L2/L3 Neutron plugins and drivers to implement? Does network performance outweigh reliability? Are overlay networks just as performant as VLAN networks? The answers to these questions will drive the appropriate technology choice.
In this presentation, we will look at many of the common drivers built around the ML2 framework, including LinuxBridge, OVS, OVS+DPDK, SR-IOV, and more, and will provide performance data to help drive decisions around selecting a technology that's right for the situation. We will discuss our experience with some of these technologies, and the pros and cons of one technology over another in a production environment.
OVN (Open Virtual Network) を用いる事により、OVS (Open vSwitch)が動作する複数のサーバー(Hypervisor/Chassis)を横断する仮想ネットワークを構築する事ができます。
本スライドはOVNを用いた論理ネットワークの構成と設定サンプルのメモとなります。
Using OVN, you can build logical network among multiple servers (Hypervisor/Chassis) running OVS (Open vSwitch).
This slide is describes HOW TO example of OVN configuration to create 2 logical switch connecting 4 VMs running on 2 chassis.
[오픈소스컨설팅] Open Stack Ceph, Neutron, HA, Multi-RegionJi-Woong Choi
OpenStack Ceph & Neutron에 대한 설명을 담고 있습니다.
1. OpenStack
2. How to create instance
3. Ceph
- Ceph
- OpenStack with Ceph
4. Neutron
- Neutron
- How neutron works
5. OpenStack HA- controller- l3 agent
6. OpenStack multi-region
Service Function Chaining in Openstack NeutronMichelle Holley
Service Function Chaining (SFC) uses software-defined networking (SDN) capabilities to create a service chain of connected network services (such as L4-7 like firewalls,
network address translation [NAT], intrusion protection) and connect them in a virtual chain. This capability can be used by network operators to set up suites or catalogs
of connected services that enable the use of a single network connection for many services, with different characteristics.
networking-sfc is a service plugin of Openstack neutron. The talk will go over the architecture, implementation, use-cases and latest enhancements to networking-sfc (the APIs and implementation to support service function chaining in neutron).
About the speaker: Farhad Sunavala is currently a principal architect/engineer working on Network Virtualization, Cloud service, and SDN technologies at Huawei Technology USA. He has led several wireless projects in Huawei including virtual EPC, service function chaining, etc. Prior to Huawei, he worked 17 years at Cisco. Farhad received his MS in Electrical and Computer Engineering from University of New Hampshire. His expertise includes L2/L3/L4 networking, Network Virtualization, SDN, Cloud Computing, and
mobile wireless networks. He holds several patents in platforms, virtualization, wireless, service-chaining and cloud computing. Farhad was a core member of networking-sfc.
Taking Security Groups to Ludicrous Speed with OVS (OpenStack Summit 2015)Thomas Graf
Open vSwitch (OVS) has long been a critical component of the Neutron's reference implementation, offering reliable and flexible virtual switching for cloud environments.
Being an early adopter of the OVS technology, Neutron's reference implementation made some compromises to stay within the early, stable featureset OVS exposed. In particular, Security Groups (SG) have been so far implemented by leveraging hybrid Linux Bridging and IPTables, which come at a significant performance overhead. However, thanks to recent developments and ongoing improvements within the OVS community, we are now able to implement feature-complete security groups directly within OVS.
In this talk we will summarize the existing Security Groups implementation in Neutron and compare its performance with the Open vSwitch-only approach. We hope this analysis will form the foundation of future improvements to the Neutron Open vSwitch reference design.
Software Defined networking - An overview
OpenStack Neutron Overview
OpenVswitch - Overview
Neutron-VXLAN-GRE-OVS : behind the scenes
neutron Packet flow to external network
neutron Packet flow from VM to VM
this slide is created for understand open vswitch more easily.
so I tried to make it practical. if you just follow up this scenario, then you will get some knowledge about OVS.
In this document, I mainly use only two command "ip" and "ovs-vsctl" to show you the ability of these commands.
Virtual Network Function Managers (VNFM) are Key components in NFV MANO framework. They work in concert with Network Function Virtualization Orchestrator (NFVO) and Virtual Infrastructure Manager (VIM).In this presentation, We will compare competing Opensource VNFMs with respect to various features supported.
[오픈소스컨설팅] Open Stack Ceph, Neutron, HA, Multi-RegionJi-Woong Choi
OpenStack Ceph & Neutron에 대한 설명을 담고 있습니다.
1. OpenStack
2. How to create instance
3. Ceph
- Ceph
- OpenStack with Ceph
4. Neutron
- Neutron
- How neutron works
5. OpenStack HA- controller- l3 agent
6. OpenStack multi-region
Service Function Chaining in Openstack NeutronMichelle Holley
Service Function Chaining (SFC) uses software-defined networking (SDN) capabilities to create a service chain of connected network services (such as L4-7 like firewalls,
network address translation [NAT], intrusion protection) and connect them in a virtual chain. This capability can be used by network operators to set up suites or catalogs
of connected services that enable the use of a single network connection for many services, with different characteristics.
networking-sfc is a service plugin of Openstack neutron. The talk will go over the architecture, implementation, use-cases and latest enhancements to networking-sfc (the APIs and implementation to support service function chaining in neutron).
About the speaker: Farhad Sunavala is currently a principal architect/engineer working on Network Virtualization, Cloud service, and SDN technologies at Huawei Technology USA. He has led several wireless projects in Huawei including virtual EPC, service function chaining, etc. Prior to Huawei, he worked 17 years at Cisco. Farhad received his MS in Electrical and Computer Engineering from University of New Hampshire. His expertise includes L2/L3/L4 networking, Network Virtualization, SDN, Cloud Computing, and
mobile wireless networks. He holds several patents in platforms, virtualization, wireless, service-chaining and cloud computing. Farhad was a core member of networking-sfc.
Taking Security Groups to Ludicrous Speed with OVS (OpenStack Summit 2015)Thomas Graf
Open vSwitch (OVS) has long been a critical component of the Neutron's reference implementation, offering reliable and flexible virtual switching for cloud environments.
Being an early adopter of the OVS technology, Neutron's reference implementation made some compromises to stay within the early, stable featureset OVS exposed. In particular, Security Groups (SG) have been so far implemented by leveraging hybrid Linux Bridging and IPTables, which come at a significant performance overhead. However, thanks to recent developments and ongoing improvements within the OVS community, we are now able to implement feature-complete security groups directly within OVS.
In this talk we will summarize the existing Security Groups implementation in Neutron and compare its performance with the Open vSwitch-only approach. We hope this analysis will form the foundation of future improvements to the Neutron Open vSwitch reference design.
Software Defined networking - An overview
OpenStack Neutron Overview
OpenVswitch - Overview
Neutron-VXLAN-GRE-OVS : behind the scenes
neutron Packet flow to external network
neutron Packet flow from VM to VM
this slide is created for understand open vswitch more easily.
so I tried to make it practical. if you just follow up this scenario, then you will get some knowledge about OVS.
In this document, I mainly use only two command "ip" and "ovs-vsctl" to show you the ability of these commands.
Virtual Network Function Managers (VNFM) are Key components in NFV MANO framework. They work in concert with Network Function Virtualization Orchestrator (NFVO) and Virtual Infrastructure Manager (VIM).In this presentation, We will compare competing Opensource VNFMs with respect to various features supported.
Netronome's Nick Tausanovitch, VP of Solutions Architecture and Silicon Product Management, Linley Data Center Conference in Santa Clara, CA on February 9, 2016.
Imagine you're tackling one of these evasive performance issues in the field, and your go-to monitoring checklist doesn't seem to cut it. There are plenty of suspects, but they are moving around rapidly and you need more logs, more data, more in-depth information to make a diagnosis. Maybe you've heard about DTrace, or even used it, and are yearning for a similar toolkit, which can plug dynamic tracing into a system that wasn't prepared or instrumented in any way.
Hopefully, you won't have to yearn for a lot longer. eBPF (extended Berkeley Packet Filters) is a kernel technology that enables a plethora of diagnostic scenarios by introducing dynamic, safe, low-overhead, efficient programs that run in the context of your live kernel. Sure, BPF programs can attach to sockets; but more interestingly, they can attach to kprobes and uprobes, static kernel tracepoints, and even user-mode static probes. And modern BPF programs have access to a wide set of instructions and data structures, which means you can collect valuable information and analyze it on-the-fly, without spilling it to huge files and reading them from user space.
In this talk, we will introduce BCC, the BPF Compiler Collection, which is an open set of tools and libraries for dynamic tracing on Linux. Some tools are easy and ready to use, such as execsnoop, fileslower, and memleak. Other tools such as trace and argdist require more sophistication and can be used as a Swiss Army knife for a variety of scenarios. We will spend most of the time demonstrating the power of modern dynamic tracing -- from memory leaks to static probes in Ruby, Node, and Java programs, from slow file I/O to monitoring network traffic. Finally, we will discuss building our own tools using the Python and Lua bindings to BCC, and its LLVM backend.
Generalized Virtual Networking, an enabler for Service Centric Networking and...Stefano Salsano
In this presentation we introduce the Generalized Virtual Networking (GVN) concept. GVN provides a framework to influence the routing of packets based on service level information that is carried in the packets. It is based on a protocol header inserted between the Network and Transport layers, therefore it can be seen as a layer 3.5 solution. Technically, GVN is proposed as a new transport layer protocol in the TCP/IP protocol suite. An IP router that is not GVN capable will simply process the IP destination address as usual. Similar concepts have been proposed in other works, and referred to as Service Oriented Networking, Service Centric Networking, Application Delivery Networking, but they are now generalized in the proposed GVN framework. In this respect, the GVN header is a generic container that can be adapted to serve the needs of arbitrary service level routing solutions. The GVN header can be managed by GVN capable end-hosts and applications or can be pushed/popped at the edge of a GVN capable network (like a VLAN tag). In this position paper, we show that Generalized Virtual Networking is a powerful enabler for SCN (Service Centric Networking) and NFV (Network Function Virtualization) and how it couples with the SDN (Software Defined Networking) paradigm.
This talk will give you an overview on OpenStack Networking. We will first go through a little bit of theory on the challenges that traditional Networking has in OpenStack, and in cloud environments in general. We will then explore the options given to us by the OpenStack community and ecosystem. After this we will go into more implementation details of OpenSource implementations of programatic overlays, traditional bridging, and some of the commercially available plugins.
This is my latest OpenStack Networking presentation. I presented it at OSDC 2014. It includes a lot of backup slides with CLI outputs that show how ML2 with the OVS agent creates GRE based overlay networks and logical routers
These slides were presented at the 2013 Linux Plumbers Conference in New Orleans by myself and Vina Ermagan. We are doing work to enable LISP and NSH in Open vSwitch, and these slides gave some background on both of these protocols as well as detail on what we've accomplished and future directions.
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
Openstack Networking Internals - first partlilliput12
Openstack Networking Internals - first part
Description of the Virtual Network Infrastructure inside an OpenStack cluster
The pictures of the VNI were taken with the "Show my network state" tool
https://sites.google.com/site/showmynetworkstate/
Scaling OpenStack Networking Beyond 4000 Nodes with Dragonflow - Eshed Gal-Or...Cloud Native Day Tel Aviv
As OpenStack matures, more users move from “dipping a toe” to deploying at large scale, with 1000's of nodes.
OpenStack networking has long been a limiting factor in scaling beyond a few hundreds of nodes, forcing users to turn to cell splitting, or to complete offloading of the networking to the underlay systems and forfeit the overlay network altogether.
Dragonflow is a fully distributed, open source, SDN implementation of Neutron, that handles large scale deployments without splitting to cells.
In testing we've conducted, we were able to scale to 4000+ controllers (each controller is typically deployed on a compute node), while maintaining the same performance we had on a small 30 node environment.
Interop Tokyo 2014 SDI (Software Defined Infrustructure) ShowCase Seminoar Presentation. The presentation covers Neutron API models (L2/L3 and Advanced Network services), Neutron Icehouse Update and Juno topics.
PLNOG 13: Michał Dubiel: OpenContrail software architecturePROIDEA
Michał Dubiel – TBD
Topic of Presentation: OpenContrail software architecture
Language: Polish
Abstract:
OpenContrail is a complete solution for Software Defined Networking (SDN). Its relatively new approach to network virtualization in data centers utilizes the overlay networking technology in order to achieve full decoupling of the physical infrastructure from the tenant’s logical configurations.
This presentation describes the software architecture of the system and its functional partitioning. A special emphasis is put on a compute node components: the vRouter kernel module and the vRouter Agent. Also, selected implementation details are presented in greater details along with an analysis of their impact on an overall system’s exceptional scalability and great performance.
Disaggregated Networking - The Drivers, the Software & The High AvailabilityOpen Networking Summit
Dis-agregration is real… This trend started with SDN and the separation of Data plane and Control plane. The scope has expanded to include separate of hardware and software and created a whole new industry of white boxes, general purpose X86 commodity hardware. All three markets - Cloud, Enterprise and Carriers are now engaged in various solutions inside the Data Center. The disaggregation is impacted all parts of the network including Access and Edge layers.
This presentation was shown at the OpenStack Online Meetup session on August 28, 2014. It is an update to the 2013 sessions, and adds content on Services Plugin, Modular plugins, as well as an Outlook to some Juno features like DVR, HA and IPv6 Support
An Introduce of OPNFV (Open Platform for NFV)Mario Cho
OPNFV is Open Platform for Network Function Virtualization.
It lecture are talk on Open Software Conference 2015.
The Lecture of OPNFV explain OPNFV sub-software technology like The Linux Kernel, Virtualization, Software Defined Network, OpenStack, OpenDaylight, and Network Function Virtualization.
OpenStack and Kubernetes - A match made for Telco HeavenTrinath Somanchi
With the advent of Containerization of Telco Clouds for NFV and SDN based deployments, OpenStack with Kubernetes is a best chosen option to solve the challenges is a better way to build a containerized Telco cloud. This involves, "Kubernetes in OpenStack", "OpenStack in Kubernetes" and "Independent OpenStack and Kubernetes". With this complementing collaboration, in the Stadium of OpenStack's Open Infrastructure, Telecom gaints are developing cloud-native solutions to best fit the next generation networking deployments. In this Presentation, we talk about Containerization and benefits, OpenStack and Kubernetes match making and we give a brief overview on Airship and Kata Container projects.
Creating a Safer, Smarter ride - NFV for AutomotiveTrinath Somanchi
While NFV and SDN have showcases their potential in cloud Data centers, experts are looking to bring its expertise for creating a secured safer smart ride through the integration of vehicle-vehicle and vehicle-infrastructure communications which create smart locales. Today we have understood the requirements and networking involved to realize centralized and distributed clouds to support customer premise services and IIoT. But we have a partial gain from these technologies. To unlock the real potential of Edge networks, the Automotive industry is moving towards integrating ADAS and intelligent roadside infrastructure with Cloud Edge and NFV technologies to create a Safer and Smarter Ride.
This presentation showcases on NFV for Automotive to create safer and smart ride.
SDN and NFV integrated OpenStack Cloud - Birds eye view on SecurityTrinath Somanchi
Network security and reliability are the most challenging tasks in any cloud. With NFV and SDN in place, Network Functions are virtualzied and network traffic is managed in separated control and data planes. Thus reducing the operational and capital expenditure. Virtualized Network Functions are tied with Software Defined Networks to boost the power of virtualization.
This itself is challenging when Network services and security is a concern. While OpenStack is the best opted solution for IaaS, many service provides are moving towards best solutions to deal with service delivery and security challenges in SDN and NFV integrated OpenStack Cloud.
OpenStack Collaboration made in heaven with Heat, Mistral, Neutron and more..Trinath Somanchi
Cross-project collaboration is something OpenStack community has embraced for a long time. Common libraries like Oslo reduces the time and effort to build a new service. Another way this manifests is in new OpenStack services getting built using existing services to solve an higher level use-case.
In this talk we are present how the band of projects comprising of Mistral, Tacker, Neutron, Heat, TOSCA-parser and Barbican came together to build an industry leading ETSI NFV Orchestrator that leveraged the best of these projects. Each of these projects brought in critical functionalities needed towards the final product. You will learn how, when strung together, this solution follows the classic Microservices design pattern that the industry is rapidly adopting.
Securing NFV and SDN Integrated OpenStack Cloud: Challenges and SolutionsTrinath Somanchi
Network security and reliability are the most challenging tasks in any cloud. With NFV and SDN in place, Network Functions are virtualzied and network traffic is managed in separated control and data planes. Thus reducing the operational and capital expenditure. Virtualized Network Functions are tied with Software Defined Networks to boost the power of virtualization. This itself is challenging when Network services and security is a concern. While OpenStack is the best opted solution for IaaS, many service provides are moving towards best solutions to deal with service delivery and security challenges in SDN and NFV integrated OpenStack Cloud.
The Presentation outlines the challenges and proposes probable solutions for NFV and SDN integrated OpenStack Cloud.
Distributed VNF Management - Architecture and Use casesTrinath Somanchi
Telco operators are on journey to discover what virtualization means for the network. Markets have believed that NFV architecture elements: NFVI and VIM, hold the complete responsibility in providing virtualized networks with carrier grade properties.
Telco operators have reached to a conclusion that VNFs must take their fair share of responsibility to realize NFV goals while meeting carrier-grade behavior in the entire NFV architecture. While the trend moves on, Cloud native VNFs are emerging best citizens of the cloud. Thus communication from EMS to VNFM is blurred and eventually may disappear in the future. This requires better understanding of, and agreement over the role of VNFMs and EMS for VNFs.
This presentation describes the evolution of Distributed VNF management, Architectural design considerations and Use-case scenarios. The following proposal is based on a comprehensive study on evolving cloud native VNF management.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
2. Agenda
• Introduction – What is OVN ? Why its different?
• Openstack Neutron with OVN
• OVN architecture – DB schema and Utilities
• OVN – ACL and L3 Design
• OVN L2 – Deep dive – Example
• OVN Limitations
3. Introduction
“Open vSwitch is the most popular choice of virtual switch in OpenStack deployments. To
make OVS more effective in these environments, we believe the logical next step is to
augment the low-level switching capabilities with a lightweight control plane that provides
native support for common virtual networking abstractions.”
- OVN, uses a protocol called OVSDB (Open vSwitch Database), which is an open protocol defined in
RFC 7047 and has been used up until now as a management protocol to configure OVS.
4. What is OVN?
• Opensource Virtual Networking for OVS.
• Provides L2/L3 virtual Networking
• Logical Switches and Routers.
• Security groups
• L2/L3/L4 ACLs
• Multiple tunnel overlays (Geneve, STT and VxLAN)
• TOR-based and software-based logical-physical gateways
• Work on same platforms as OVS
• Linux (KVM and XEN).
• Containers
• DPDK
• Integration with Openstack and other CMS.
5. Why OVN is different ?
• Will not require any additional agents for functionality for simplified
deployment and debugging.
• Security groups using new in-kernel conntrack integration.
• More secure and faster than other methods.
• DPDK-based and hardware-accelerated gateways.
• Leverages new OVS DPDK port.
• Works with switches from Arista, Brocade, Cumulus, Dell, HP, Juniper, and
Lenovo
6. Openstack Neutron with OVN
• ML2 driver for OVN.
• Replaces OVS ML2 driver and Neutron’s OVS agent.
• Speaks OVSDB to configure OVN via its Northbound database.
• Only run Neutron API server – No other agents.
• No RabbitMQ ( except for notifications to ceilometer and other stuff).
• OVN DHCP agent (TODO)
7. Openstack Neutron with OVN - Overview
Neutron
DB
Neutron Server ovsdb-server
rabbitmq
ovn-northd
ovn-controller
neutron-*aas
8. OVN – Architecture
Openstack CMS (Neutron-Server)
OVN North bound DB
OVN – Northd
(daemon)
OVN South bound DB
ovn-controller
ovsdb-server ovs-vswitchd
ovn-controller
ovsdb-server ovs-vswitchd
openflowOVSDBOVSDB
openflow
OVSDB
OVSDB
OVSDB
Hypervisor 1 Hypervisor N
ovn-northd
Translate between the logical network elements configured by the CMS to the Northbound DB and
model them to the Southbound DB tables, which holds the physical/infrastructure bindings and the
logical flows which enable the logical connectivity.
Service Plugins
L3 Service Plugin OVN
ML2 Mechanism Driver
OVN Mech. Driver
9. OVN – Databases – Northbound DB
• Two clients
• CMS which translate its own notion of logical networking configuration into the OVN model (Openstack
Neutron for example, it translate neutron networks/ports/security groups into logical switches/logical
ports/ACL's).
• ovn-northd daemon, which translate this DB into the Southbound DB model.
• Describes the logical network in conventional network concepts with only virtual elements and the
connectivity between them.
• Like., logical switches, logical ports that connect to these switches and logical routers which connects between different
logical switches.
• Also ACL's which we can attach to logical switches and configure them for specific logical ports.
• Communication between the ovn-northd and the CMS is bidirectional.
• ovn-northd can update the CMS when a port operational status is up, indicating all needed hooks and configuration took
place (This is useful in the Neutron case as Neutron needs to indicate to Nova when a port is ready after deploying a VM).
CMS – Cloud Management System (here, Openstack)
OVN North bound DB
10. OVN – Databases – Southbound DB
• Data Classification
• Physical Network: Information about the chassis nodes in the system. This contains all the information
necessary to wire the overlay, such as IP addresses, supported tunnel types, and security keys.
• Logical Network: the topology of logical switches and routers, ACLs, firewall rules, and everything
needed to describe how packets traverse a logical network, represented as logical datapath flows.
• Bindings: The current placement of logical components (such as VMs and vifs) onto chassis and the
bindings between logical ports and MACs.
• The ovn-northd daemon populate the logical datapath flows, while the ovn-controller (OVN agent
in the hypervisor) populate the physical elements and the bindings.
• ovn-controller uses the DB information and connects to the local OpenVSwitch as an Openflow
controller to actually configure the needed flows for correct connectivity and also as an OVSDB
manager to read the local configurations.
OVN South bound DB
11. OVN – Database schema
ovn_nb :: OVN Northbound database schema
name (str)
ports (set of logical_ports)
acls (set of acls)
logical_switch
name (str)
type (str)
options (str-str)
parent_name (str)
tag (int 1-4095)
up (bool – port state)
enabled (bool – port state)
addresses (str)
port_security (str)
logical_port
priority (int 1-32767)
direction (str to-lport or
from-lport)
match (str)
action (str – allow-
rejected, drop, allow,
reject)
log (bool)
acl
name (str)
ports (str set of logical_router_ports)
default_gw (str)
logical_router
name (str)
network (str)
mac (str)
enabled (bool)
peer (attachment of LRP)
logical_router_port
Each of the tables in this database contains a special
column, named external_ids. This column has the
same form and purpose each place it appears.
12. OVN – Database schema
ovn-sb :: OVN Southbound database schema
name (str)
encaps (set of 1 or more
encaps)
vtep_logical_switches (set
of str)
chassis
Logical_datapath
(datapath_binding)
pipeline (str, ingress-
egress)
table_id (int 0-15)
priority (int 0-65,535)
match (str)
actions (str)
stage_name (str)
logical_flow
tunnel_key (int 1-
16,777,215)
logical_switch (nb-relation)
logical_router (nb-relation)
datapath_binding
type (str, one of stt, geneve or vxlan)
options (str-str)
ip (str, ipv4 addr of encap tep)
encap
datapath (datapath_binding)
tunnel_key (int, 32768-65535)
name (str)
ports (set of 1 or more weak
reference to Port_Bindings)
multicast_group
Each of the tables in this database contains a special column, named external_ids. This
column has the same form and purpose each place it appears.
datapath (datapath_binding)
logical_port (str)
chassis (str chassis)
tunnel_key (int, 1-32768)
mac (str)
type (str)
port_binding
13. OVN – Utilities
• ovn-nb - OVN_Northbound database schema
• This database is the interface between OVN and the cloud management system (CMS), such as OpenStack,
running above it. The CMS produces almost all of the contents of the database. The ovn-northd program
monitors the database contents, transforms it, and stores it into the OVN_Southbound database.
• ovn-sb - OVN_Southbound database schema
• This database holds logical and physical configuration and state for the Open Virtual Network (OVN) system
to support virtual network abstraction.
• ovn-nbctl - Open Virtual Network northbound db management utility
• This utility can be used to manage the OVN northbound database.
• ovn-sbctl - utility for querying and configuring OVN_Southbound database.
• ovn-northd - Open Virtual Network central control daemon
• Responsible for translating the high-level OVN configuration into logical configuration consumable by
daemons such as ovn-controller. It translates the logical network configuration in terms of conventional
network concepts, taken from the OVN Northbound Database, into logical datapath flows in
the OVN Southbound Database below it.
• ovn-controller - Open Virtual Network local controller
• ovn-controller-vtep - Open Virtual Network local controller for vtep enabled physical switches.
14. OVN – Security Groups
• Existing way
• Requires extra linux bridge and
vEth pair per VM.
• Uses Iptables.
• Using OVN ACLs
• Uses kernel conntrack module
directly from OVS.
• Design benefits.
• No complicated pipeline.
• Faster* -- Fewer hops and veth ports.VM VM
Linux
Bridge
Linux
Bridge
OVS (br-int)
eth eth
tap tap
veth
veth veth
veth
VM VM
OVS (br-int)
eth eth
tap tap
15. OVN – L3 design
• Neutron L3 Agent – Current design
• Agent based.
• Used the Linux IP stack and iptables.
• Forwarding.
• NAT.
• Overlapping IP address support using namespaces
• OVN L3 design
• Native support for IPv4 and IPv6.
• Distributed.
• ARP/ND suppression.
• Flow caching improves performance.
• Without OVN: multiple per-packet routing layers.
• With OVN: cache sets dest mac, decrements TTL.
• No use of Neutron L3 agent
16. OVN L2 – Deep dive
• Multi node Openstack Setup with OVN plugin.
• 3 VM’s
• one in the controller node (VM1) and
• two in the other compute node (VM2 and VM3)
• All connected to the “private” network.
Network Topology
OVN recognizes, two nodes on Chassis with Geneve tunnel
Between them, it's important to note that the tunnel was
created only when VM’s from the same logical network were
actually deployed in the two nodes.
Tunnel port created on br-int.
Router namespace creation remains unaffected.
The OVN Southbound DB Binding table has entries that link
between the logical elements configured in the Northbound
DB and their location in the physical infrastructure.
17. OVN L2 – Deep dive
Flow tables at each Node:
Table 0 - Network classification and incoming tunnel traffic dispatching.
Table 16 - Ingress Port Security (This table blocks broadcast/multicast src addresses and
also logical VLANs as they are not yet supported)
Table 17 - Destination lookup, broadcast, multicast and unicast handling (and unknown
MACs)
Table 18 – ACL (not implemented)
Table 19 - Egress Port Security
Table 64 - Output table (Logical to Physical or Local - last step in the pipeline which now
need to send the packet to the correct port (local or over a tunnel to other compute
node))
18. OVN – an example – On HV1
Name Ports
LS1 LP1, LP2
Name MAC
LP1 AA11
LP2 BB22
Chassis Name Encap IP address
HV1 Geneve* 10.0.0.10
HV2 Geneve* 10.0.0.11
Datapath Match Action
LS1 eth.dst = AA11 LP1
LS1 eth.dst = BB22 LP2
LS1 eth.dst = <broadcast> LP1, LP2
Logical switch
Logical port
Chassis (ovn-controller)
Bindings (ovn-controller)
Pipeline (ovn-northd)
Logical Port Name Chassis Name
LP1 HV1
*Geneve: Generic Network Virtualization Encapsulation
19. OVN – an example – LP2 arrives on HV2
Name Ports
LS1 LP1, LP2
Name MAC
LP1 AA11
LP2 BB22
Chassis Name Encap IP address
HV1 Geneve 10.0.0.10
HV2 Geneve 10.0.0.11
Datapath Match Action
LS1 eth.dst = AA11 LP1
LS1 eth.dst = BB22 LP2
LS1 eth.dst = <broadcast> LP1, LP2
Logical switch
Logical port
Chassis (ovn-controller)
Bindings (ovn-controller)
Pipeline (ovn-northd)
` Chassis Name
LP1 HV1
LP2 HV2
20. OVN - Limitations
• HA/Redundancy
• ovsdb-server is not distributed, which means you cannot have a cluster or redundancy/high
availability to your instance which has a critical job in the process.
• Scale
• since ovsdb-server is not distributed it also does not support load sharing, this means that all
controllers connect to the same instance and hence can introduce bottlenecks on busy
setups, this doesn't scale up well.
• Different environments might have different requirements
• Different users might need different solutions for DB distribution in regards to latency /
configuration changes / resource availability to run the control plane software / SLA regarding
configuration loses and so on, this approach means that ovsdb-implementation must support
all possible use cases.
• Locked-In Solution
• User/Cloud admin is locked to a single solution implementation which is not necessary
related to network virtualization