MeshDynamics delivers one of the only third-generation wireless mesh networking solutions for high-performance outdoor data, voice, and video networking. Based on sophisticated dynamic channel-agile networking algorithms, MeshDynamics' MD4000 family of Structured Mesh™ wireless nodes deliver very low-latency and low-jitter performance, even over multi-hop topologies where many earlier generation wireless mesh networking products fail. MeshDynamics' products are in use worldwide in mining and industrial, homeland security/defense, transportation, and metro/municipal network applications. MeshDynamics, Inc. is privately held and headquartered in Santa Clara, CA. More information at: www.meshdynamics.com
MeshDynamics Mesh Networks- High Level OverviewMeshDynamics
MeshDynamics Third Generation Mesh Architecture: Earlier-generation mesh networking products perform poorly in multi-hop (node-to-node relay) environments. MeshDynamics' patented low latency multiple radio wireless mesh preserves high performance [over multiple hops] that's been available only in wired networks until today.
Mesh Networks in Underground Mining [MeshDynamics]MeshDynamics
Mines and industrial sites are becoming more networked. Emerging safety requirements demand real-time wireless communications for voice and data. These new applications create expectations of high performance over many hops. MeshDynamics nodes provide both voice and video in both surface and underground mines. Some underground tunnels are over 44+ hops deep.
Military, Defense and Public Safety Mesh Networks [MeshDynamics]MeshDynamics
Modern warfare is network centric. Robust communication with IP based devices is key. This creates expectations of high performance over many hops, supporting static and mobile mesh nodes in one secure framework.
This paper provides a high-level comparison
between LTE and WiMAX. The focus is on two primary areas: System Architecture and Physical Layer. The System Architecture describes the different functional elements in LTE and WiMAX and attempts to map similar functionality (such as mobility, security, access-gateway). We also compare and contrast the various aspects (such as transmission modes, duplexing types) of the physical layer.
The Abstracted Network for Industrial Internet- SlidesMeshDynamics
Taking cues from Nature, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to address challenges in supporting robust, real time, secure, scalable, subscribable messaging for our OEM licensees and their applications in Military and Industrial Internet (IIOT). Unclassified Section of Presentation.
http://www.slideshare.net/DaCostaFrancis/the-abstracted-network-for-industrial-internet
MeshDynamics Mesh Networks- High Level OverviewMeshDynamics
MeshDynamics Third Generation Mesh Architecture: Earlier-generation mesh networking products perform poorly in multi-hop (node-to-node relay) environments. MeshDynamics' patented low latency multiple radio wireless mesh preserves high performance [over multiple hops] that's been available only in wired networks until today.
Mesh Networks in Underground Mining [MeshDynamics]MeshDynamics
Mines and industrial sites are becoming more networked. Emerging safety requirements demand real-time wireless communications for voice and data. These new applications create expectations of high performance over many hops. MeshDynamics nodes provide both voice and video in both surface and underground mines. Some underground tunnels are over 44+ hops deep.
Military, Defense and Public Safety Mesh Networks [MeshDynamics]MeshDynamics
Modern warfare is network centric. Robust communication with IP based devices is key. This creates expectations of high performance over many hops, supporting static and mobile mesh nodes in one secure framework.
This paper provides a high-level comparison
between LTE and WiMAX. The focus is on two primary areas: System Architecture and Physical Layer. The System Architecture describes the different functional elements in LTE and WiMAX and attempts to map similar functionality (such as mobility, security, access-gateway). We also compare and contrast the various aspects (such as transmission modes, duplexing types) of the physical layer.
The Abstracted Network for Industrial Internet- SlidesMeshDynamics
Taking cues from Nature, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to address challenges in supporting robust, real time, secure, scalable, subscribable messaging for our OEM licensees and their applications in Military and Industrial Internet (IIOT). Unclassified Section of Presentation.
http://www.slideshare.net/DaCostaFrancis/the-abstracted-network-for-industrial-internet
Convergence of digital information has been initiated a couple decades ago. Practically, almost all networks have now been utilising Internet Protocol. However, networks, applications, and contents managements vary by the nature of service types: IMS, SDP, IPTV, etc. Should another convergence be arranged to unify the management of the entire network for optimal results?
LTE Backhaul Challenges, Small Cells and the Critical Role of MicrowaveAviat Networks
Aviat Networks's chief technology officer
(CTO), Paul Kennard, offers a presentation to IEEE's Communications Society on the critical role microwave networking will play in the deployment of Small Cell backhaul to service the throughput needs of LTE 4G mobile telecommunications providers.
Convergence of digital information has been initiated a couple decades ago. Practically, almost all networks have now been utilising Internet Protocol. However, networks, applications, and contents managements vary by the nature of service types: IMS, SDP, IPTV, etc. Should another convergence be arranged to unify the management of the entire network for optimal results?
LTE Backhaul Challenges, Small Cells and the Critical Role of MicrowaveAviat Networks
Aviat Networks's chief technology officer
(CTO), Paul Kennard, offers a presentation to IEEE's Communications Society on the critical role microwave networking will play in the deployment of Small Cell backhaul to service the throughput needs of LTE 4G mobile telecommunications providers.
High Performance in Mobile Wireless Applicationsdigitallibrary
Outdoor enteprises need wireless mobility but the challenges of such fixed and unfixed situations can be complex. First generations of these types of networks used a mesh system where any node could talk to any node (ad hoc). The second generation added backhaul radios, which offered some improvement. Third generation delivers the highest performance with radio spectrum flexibility which delivers switch-like performance. MeshDynamics offers a software-based third generation solution that delivers distributed dynamic radio intelligence, exceptional mobility capabilities, and high performance with many hops.
This session provides a brief overview of the various models available for adopting cloud and their strategic considerations, ranging from providing Enterprise class service to business alignment. This session also explores the infrastructure, management, and benefits of cloud computing and cloud storage.
Objective 1: Understand the various cloud models and their associated benefits and considerations.
After this session you will be able to:
Objective 2: Gain a high-level understanding of technologies that EMC can provide to accelerate adoption of the cloud models.
Objective 3: Understand the tactical approaches to cloud consumption available to their organization based on its needs and transformation phase.
Watch the recordings via http://www.brainshark.com/emcworld/vu?pi=zGfzHnlI1zB8sLz0
This is a presentation on the evolution of the public network, including POTS, ATM, SONET, DWDM, RPR, Ethernet, and other technologies. Explains how needs and design principles have changed over time and compares the different technologies. A full research paper is available at http://www.ericgoldman.name
Chirp_Primer_Slides:ULtra Low Power Edge ConnectivityMeshDynamics
The only systems on earth that have ever scaled to the size & scope of the Internet of things are natural systems: pollen distribution, ant colonies, redwoods, and so on. This proposal outlines how Massive IoT may be achieved by rethinking last mile connectivity. Today’s last mile is crippled by proprietary transport protocols, not sustainable. EdgeCloud thinking focused on smarts at the radio end to manage collision avoidance by segmenting collision domains in RF space (channel diversity) and time (time reservation slots). Current IoT Radios have to be “smart” because they use phones and computers as carrier pigeons to connect. These devices, intended for humans are rechargeable and thus not energy constrained. They can afford power hungry communication protocols. In order to communicate, the IoT edge devices must then also confirm to protocols and RF channels supported – or provide private networks.
Conversely, in Cloud->Edge thinking, we let Clouds manage ant-like reprogrammable intelligence – purpose driven, minimal processing and thus low power usage and cheap. A 433 MHz wireless modem costs $0.10. A WiFi and Bluetooth wireless chipset costs $20. Also CSMA/CA protocols are inherently inefficient and insecure without “heavy” encryption on top of a heavy protocol. An IP header is 40 bytes vs. 1-2 bytes for Chirp headers. Chirp protocols and their minimal hardware cleanly cut through all Gordian knots in Fig. above. The Edge can be small dumb cheap and copious. Think sensor grids for forest fires, air and ocean pollution..Key Points addressed in this presentation relate to “CloudEdge” thinking. A. Global-Scale “Edge” challenges are: simplicity, cost, energy & (as always) security. B. Chirpers don’t need heavy OSI stack -> minimal power and cost for connectivity. C. Software Driven Mesh for the Edge -> Moves Chirping Edge Intelligence to Cloud. D. Trusted walled gardens become globally relevant through our imprinted chipsets. E. Massive IoT – burgeons with Cloud messaging and AI Globally Relevant Solutions.Please see Chirp_Primer - intended as a prelude for these slides - for more. Thank you for your consideration. Your feedback is welcomed. Francis daCosta Jan 2024.
Small, Dumb, ¬¬Cheap, and Copious – the Future of the Internet of Things,
Abstract
Over the next decade, billions of interconnected devices will be monitoring and responding to transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans, and other resources.
The unique characteristic that the majority of these otherwise incredibly diverse Internet of Things (IOT) devices will share is that they will be too small, too dumb, too cheap, and too copious to use traditional networking protocols such as IPv6.
For the same reasons, this tidal wave of IOT devices cannot be controlled by existing operational techniques and tools. Instead, lessons from Nature’s massive scale will guide a new architecture for the IOT.
Taking cues from Nature, and in collaboration with our OEM licensees, MeshDynamics is extending concepts outlined in the book “Rethinking the Internet of Things” to real-world problems of supporting “smart: secure and scalable” IOT Machine-to-Machine (M2M) communities at the edge.
Simple devices, speaking simply
Today companies view the IOT as an extension of current networking protocols and practices. But those on the front lines of the Industrial Internet of Things are seeing problems already:
“While much of the ink spilled today is about evolutionary improvements using modern IT technologies to address traditional operational technology concerns, the real business impact will be to expand our horizon of addressable concerns. Traditional operational technology has focused on process correctness and safety; traditional IT has focused on time to market and, as a recent concern, security. Both disciplines have developed in a world of relative scarcity, with perhaps hundreds of devices interconnected to perform specific tasks. The future, however, points toward billions of devices and tasks that change by the millisecond under autonomous control, and are so distributed they cannot be tracked by any individual. Our existing processes for ensuring safety, security and management break down when faced with such scale. Stimulating the redevelopment of our technologies for this new world is a focal point for the Industrial Internet Consortium.”
Francis da costa rethinks the internet of things zd_netMeshDynamics
https://www.zdnet.com/article/francis-dacosta-rethinks-the-internet-of-things/ and see
https://thefrugalnetworker.files.wordpress.com/2014/05/francis_dacosta_rethinking_the_internet_of_things.mp3
Over the past decade, Meshdynamics has supplied customized versions of our mesh networking software to OEMs that include multiple military contractors, industrial mining solution providers and industrial network equipment manufacturers.
The core mesh software was ported to run on boards (processors) and radios of the customer's choosing. Meshdynamics system integrators, working directly with the OEM licensee, developed the finished product. The intellectual property and trade secrets related to their new or upgraded products was thus preserved.
Post 2014, Meshdynamics developed a generic, customizable suite of software modules to accelerate time to market for OEMS requiring mesh network connectivity to be baked into their connected devices. The tools include simulation and test automation tools specific to mesh networking and working source code for exemplary board-radio ensembles.
Towards Rapid Implementation of Adaptive Robotic SystemsMeshDynamics
Current automation design practice produces expensive one-of-a-kind installations where the system cannot be easily modified to
meet changing demands or advancements in technology. It is imperative that we design robot systems to be modular, portable and
easily re-configurable in order to reduce the design lead times and life cycle costs of providing automation alternatives.
The Unified Tele-robotics Architecture Program (UTAP) was developed under the sponsorship of the US Air Force Robotics and
Automation Center of Excellence. A goal of the program was to define and develop prototypes of commonly used software building
blocks for sensor guided real time embedded control of telerobotic devices. Standard building blocks and a non-proprietary
communication protocols would provide the Air Force and specifically the Logistic Centers with a support infrastructure designed to
rapidly and efficiently build and maintain mission critical automation systems.
An Integrated Prototyping Environment For Programmable AutomationMeshDynamics
We are implementing a rapid prototyping environment for robotic systems, based on tenets of modularity,
reconfigurability and extendibility that may help build robot systems "faster, better and cheaper". Given a task
specification, (e.g. repair brake assembly), the user browses through a library of building blocks that include both
hardware and software components. Software advisors or critics recommend how blocks may be "snapped" together to
speedily construct alternative ways to satisfy task requirements. Mechanisms to allow "swapping" competing modules
for comparative test and evaluation studies are also included in the prototyping environment. After some iterations, a
stable configuration or "wiring diagram" emerges. This customized version of the general prototyping environment still
contains all the hooks needed to incorporate future improvements in component technologies and to obviate unplanned obsolescence...
The Abstracted Network for Industrial InternetMeshDynamics
Widespread adoption of TCI/IP protocols over the last two decades appears on the surface to have created a lingua franca for computer networking. And with the emergence of IPv6 removing the addressing restrictions of earlier versions, it would appear that now every device in the world may easily be connected with a common protocol.
But three emerging factors are requiring a fresh look at this worldview. The first is the coming wave of sensors, actuators, and devices making up the Internet of Things (IOT). Although not yet widely recognized, it is beginning to be understood that a majority of these devices will be too small, too cheap, too dumb, and too copious to run the hegemonic IPv6 protocol. Instead, much simpler protocols will predominate (see below), which must somehow be incorporated into the IP networks of Enterprises and the Internet.
At the other end of the scale from these tiny devices are huge Enterprise networks, increasing movingly to the cloud for computing and communication resources. An important requirement of these Enterprises is the capacity to manage, control, and tune their networks using a variety of Software Defined Networking (SDN) technologies and protocols. These depend on computing resource at the edges of the network to manage the interactions.
The third element is a conundrum presented by the first two: Enterprises will be struggling with the need to bring vast numbers of simple IOT devices into their networks. Though many of these devices will lack computing and protocol smarts, the requirement will still remain to manage everything via SDN. Along with this, many legacy Machine-to-Machine (M2M) networks (such as those on the factory floor) present the same challenges as the IOT: simple and/or proprietary protocols operating in operational silos today that Enterprises desire to manage and tune with SDN techniques.
MeshDynamics Internet of Things (IoT) initiatives are in partnership with the US Military agencies and our commercial OEM licensees.
Our embedded software runs on OpenWRT and MAC80211. Network processors supported, include Intel, Cavium, MIPS. OEM Customer applications, running on the routers, support real time, secure, M2M Machine control. Kernel level applications provide real time translation and encapsulation of Native Machine protocols and their transmitters (e.g. LED remote).
MeshDynamics routers thus support low power IoT "chirp" devices, see "Rethinking the Internet Of Things". [Slides] [Jolt Award]
Author Francis daCosta, previously founded Advanced Cybernetics Group, providing robot control system software for mission critical applications, including both local and supervisory real time M2M control. At MITRE, he served as an advisor to the United States Air Force Robotics and Automation Center of Excellence (RACE). Francis also held senior technical positions at Northrop Grumman, Ingersoll-Rand, Xerox. He has a MS from Stanford University and BS from Indian Institute of Technology.
Scale-able Internet of Things (Presented June 12015) MeshDynamics
Scalable, Mission Critical Mesh Networking for Internet of Things.that support resource constrained devices, operating with Native Machine protocols, rudimentary communications capabilities. These simpler devices communicate with trusted routers through custom interfaces (e.g. LED remote). Custom routers also run applications providing the processing needed for low cost devices connectivity. The framework supports dynamic, temporal and mobile mesh networking infrastructure for both IP and non IP based devices. Applications use local processing power for both analysis (e.g. deep packet inspection) and control (e.g Real time M2M control). OEM Licensees include the US Military.
The only systems on earth that have ever scaled to the size and scope of the Internet of Things are natural systems: pollen distribution, ant colonies, redwoods, and so on. From examining these natural systems, I developed the concept of the three-tiered IoT network architecture described in the book: simple end devices, networking specialist propagator nodes, and information-seeking integrator functions operating within an organically grown ecosystem
Open Source For Self Classification of Data Stream in the Internet Of Things. MeshDynamics
It is well understood that the Internet of Things represents unprecedented challenges of scope, with trillions of appliances, sensors, and actuators expected to be connected over the coming years. What is not yet appreciated is that current peer-to-peer networking schemes will be unable to create the kind of publish / discover / subscribe architectures that will be needed. Instead, a new type of self-classified data stream is needed, which can only be enabled by open-source collaborations in defining and implementing the emerging architecture of the IoT. Mr. daCosta will explore the implications of open source for end devices and networking equipment, as well as describing how even proprietary IoT data flows can help build an open source implementation.
Presented at IoTWorldEvent, June 16, 2014
MeshDynamics P3M Persistent and Dynamic Mesh NetworksMeshDynamics
MeshDynamics has enhanced its industry-leading MD4000 third generation WiFi wireless mesh nodes with new features offering better performance and reliability in mobile or mixed fixed/mobile environments. The new software, called Persistent 3rd-Generation Mesh (P3M) is intended for dynamic military, transportation, and public safety applications, as well as in critical applications such as mine safety.
In recent tests, the company demonstrated persistent high-throughput and low-delay and low-jitter networking as mobile wireless mesh nodes connected automatically with other mobile and fixed wireless mesh nodes. As some elements of the network moved out of WiFi range from other nodes, they automatically formed into separate independent networks, allowing communication to continue. When brought back into range, these network elements seamlessly reconnected with the rest of the network. All of this occurred without any operator intervention or reconfiguration and the process takes place in a fraction of a second.
MeshDynamics MD4000 nodes are already being used in tactical battlefield environments to transmit video, voice, and sensor data between moving armored vehicles. The new P3M features now allow for smaller groups that become separated from the main formation or column to maintain the same high performance among themselves while isolated, and then automatically rejoin the larger force when they again come into range.
The P3M features have also been proven in demanding underground mining environments, where possible cave-ins and other disasters may lead to a section of the network becoming isolated from the main portion of the network. With P3M technology, miners in the isolated sections may still communicate with one another, providing persistent Voice-over-IP and location capabilities and potentially speeding rescue.
Third-generation wireless mesh networking has always delivered higher performance in rooted environments than does traditional wireless mesh technology. This is primarily achieved through imposing a logical Structured MeshTM topology on the mesh network, with uplink and downlink paths minimizing turnaround and multiple radios optimizing performance. Typically, the "uplink" and "downlink" determinations have been made by the nodes themselves at network start-up, based on the location of the fixed fiber or copper connection to the Internet or enterprise backbone.
But the new P3M technology allows the nodes to structure the network dynamically, even if there is no fixed connection anywhere in the network or if the fixed connection is lost. Patent-pending route-finding algorithms permit the nodes to establish the optimal topology rapidly and to reconfigure quickly as nodes move in relation to one another and any fixed points. This allows for persistent high-performance networking, regardless of the topology formed by the mobile nodes.
MeshDynamics Mesh Networks - Video SurveillanceMeshDynamics
MeshDynamics provides the network infrastructure to make a fully distributed IP surveillance system possible for cameras, video servers, storage clusters, custom applications and remote viewing to be located in any location.
The Department of Homeland Security (DHS) and SPAWAR engineers selected MeshDynamics Wi-Fi mesh nodes to provide remote video surveillance for stationary and vehicle mounted cameras along the US national border. IP cameras are connected to the MeshDynamics MD4000 mesh nodes transmitting high resolution real time video over the mesh network to the base station video monitors. Live video feeds from the IP based cameras is also available via the MeshDynamics mesh network to patrol vehicles with wireless access. Mobile nodes mounted in security forces vehicles join the network dynamically and while in motion. Service radios in the vehicles provide connectivity for staff in vehicles and operating nearby. In similar applications, UK, Israeli and Canadian defense agencies have also selected MeshDynamics for wireless video surveillance applications in those countries
Installing and Troubleshooting MeshDynamics Wireless Mesh Networks. Guidelines on network deployment, antenna selection, range calculations etc. See also MeshDynamics Layout Design and Best Practices Presentations.
Battelle AoA Evaluation Report on Military Mesh Network Products MeshDynamics
This Battelle Institute Evaluation Report evaluates multiple wireless mesh networking providers. In each test category, MeshDynamics out performs the competition - more hops, better throughput and latency, robust mobility etc.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP