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Intelligent Transportation Ecosystem

IoT, ITS, and the Talksum Ecosystem

Dale Russell, CTO, Talksum, San Jose

 

We’ve been hearing a lot about of Internet of Things (IoT) for the last decade. IoT is coming, IoT is here, IoT and Big Data…

 

Many of the people talking about IoT are from the computer industry. They’re selling us on a new market valued around $1.7 Trillion in 2020. While convincing us to invest in the IoT sector they will then point to a repackaging of a computer or data center solution. You can buy several brands of set top-media players listed as an IoT device. Upon further inspection they’re a small computer with a HDMI connector and a wireless network card connecting to a web service. Smart watches are but Bluetooth devices for your smart phone; a computer accessory. We have gone from Internet Hosting, Web Services, Cloud Services, and now IoT by  just a release of smaller computers and distributed web services?

 

That’s beginning to change and the consumers will be driving the market so to speak. We want self-driving smart cars! Automobile manufactures old and new are all working on developing self-driving modules, most governments want Intelligent Transportation Systems (ITS), and we as the consumer want gadgets!

 

What gadget is cooler than self-driving cars?

 

The consumer’s desire is to also bring infotainment and entertainment, social groups, smart devices, as well as personal data contracts and other services along for the ride. When you combine all the wants of the consumer we have the beginning of the Digital Transportation Eratm. We want self driving cars, traffic re-routing for first responders, reduced traffic congestion, quieter roads, and cleaner air. With all of these wonderful goals the automobile has become the consumers’ mobile data center bringing all of the same security concerns as an internet data center and many more. Automobile manufacturers, government and regulatory bodies, insurance and telematics services, and internet media providers all bring their own protocols into this new mobile data center. The new Smart Car will need to be considered part of the larger ITS and IoT clouds.

Intelligent Transportation Ecosystem

To meet the challenges of the Digital Transportation Eratm the vehicle needs to be an integral part of these new ecosystems. The Intelligent Transportation Systems will include new networks, data management, and new standards and protocols such as: Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Signal Phase and Timing (SPaT), and many yet to be legislated. These signals must be introduced in a manner that ensures validity and security to protect against DDoS attacks against these public networks. The introduction of Internet Services, Fleet Management, Insurance, and Telematics into this mobile data cloud also requires that firewalls and gateways are needed to ensure that the automobile is securely protected.

 

Automobiles already generate large streams of data from in-vehicle busses measured in gigabytes an hour. The additional radios, GPS, mobile carriers, infotainment systems, and self-driving systems will make data management and security to this new mobile cloud platform a must.

 

Some of the Challenges:

 

  • Cybersecurity Protection from DDoS, Man in the Middle, and other Internet Attacks
  • Real-time Validation and Insights from these Data Streams
  • Normalization of Standards and Protocols (CAN, LIN, I2C, WAVE, OpenXC, ASN.1…)
  • Extensible Design for Future Standards and Protocols (NHTSA)
  • Regulation Compliance

 

At Talksum we deliver a real-time scalable ecosystem that answers these concerns. Talksum is a Data Routing Engine that is deliverable as a Data Center solution, as a Virtual Router for Cloud deployment, as well as Embedded on select ARM, AARCH64, and customers’ boards. The Talksum product family provides a scalable and holistic ecosystem from the Dashboard to the Data Center.

 

We will be presenting this spring and summer at several conferences where will be discussing the Talksum Ecosystem. Until then follow this blog as next we will discuss the overlaps of the above networks and ecosystem requirements.

Internet of Things (IoT) to Reach $1.7 Trillion Market, Can the Data Center Handle It?

Barry Strauss, Talksum Head of MarketingBarry Strauss, Head of Marketing, Talksum

In a Wall Street Journal article published this summer entitled “Internet of Things Market to Reach $1.7 Trillion by 2020,” contributor Steven Norton cited IDC as proclaiming that the IoT market will grow from $665.8 billion last year to $1.7 trillion in 2020 as “more devices come online and a bevy of platforms and services grow with them.” Although security will bring a new wave of concerns, a possibly greater concern is the number of data centers that are not prepared for the massive amounts of data coming from all of the “things” in the near future.

The “things” constitute connected devices that are expected to grow from 10.3 billion last year to more than 29.5 billion in 2020 according to IDC. With those types of numbers, the data accelerating among the multitude of disparate devices needs to be processed and managed at wire speed and under common standards.

“Enterprises have to manage that, so they have to create new management policies for the devices and how they’re connected,” said Vernon Turner, IDC’s research fellow for the Internet of Things. “There is a life cycle that has to happen that might be different from the traditional application life cycle,” he said. Interoperability will also be a major sticking point when it comes to corporate adoption.

icon_telecomIoT-enabled devices bring processing challenges, which can be broken down into three areas – data ingestion, data storage, and data analytics.

The first two areas represent the cost of doing business while the third area – analytics – is seen as the value of Big Data, per se. According to a Forbes article entitled “The Internet of Things Will Radically Change Your Big Data Strategy,” contributor Mike Kavis said “Experts estimate that over half of all Big Data projects fail and most of those failures are due to projects never getting past the data ingestion phase.” In addition, Kavis stressed that even if an enterprise makes it past the data ingestion, it would still have to learn new technologies such as Hadoop, Map Reduce, and so on for provisioning enough disk, network, and compute capacity to keep up with the new incoming data. Finally, he mentions that analytics would be difficult since the IoT data would have problems integrating with existing data warehouse investments. And, he continued, “To make matters worse, the costs and effort to maintain and provision enough infrastructure to keep up with the incoming flow of data is an arduous task that continues to keep risks high throughout the life of the IoT investment.”

Worry no more.

The real-time Talksum Data Stream Router — TDSR — solves all of the challenges within all three areas.

First, let’s take a look at data ingestion. Today, the TDSR ingests, normalizes, and integrates most types of data originating from multiple sources. The highly configurable rack-mounted units can handle structured, semi-structured, and no-structure disparate data generating from any source over the network.

Secondly, the high-volume, high-performance TDSR keeps pace with all incoming data, processing millions of complex events per second, as it transforms, filters, data reduces, aggregates, enriches, analyzes and contextually routes the “actionable” data to any type of downstream system for storage, business intelligence, and/or database use. Data can quickly move where it is needed, in the format that is need, at the time it is needed. And, the TDSR is dynamically scalable to accommodate unpredictable data flow.

For the analytics area, the TDSR processes the data first as it comes in, then routes it to the appropriate analytics system for taking action. In other words, the TDSR transforms incoming disparate data from the various sources, allowing data to “talk” to each other, then routes the data to its respective downstream analytics tools for taking real-time action when needed and reduces reporting latency of critical events to seconds.

Costs are kept to a minimum since the TDSR comes highly configurable without the need for specialized coding to deploy highly tailored solutions. And the units include the foundational components for regulatory compliance, government standards, and policy control.

The Talksum data center solution streamlines service delivery and boosts overall performance – all with no impact on current infrastructure.

Click here for more information about Talksum solutions.

 

 

 

Talksum Announces Data Stream Router Integration for Microsoft SharePoint

Alex VarshavskyAlex Varshavsky, CEO, Talksum

Today we’re announcing our flagship Talksum Data Stream Router (TDSR) integration with Microsoft SharePoint. The easy-to-install TDSR product can now route data directly into SharePoint in real time, making it easy to create visualizations out of massive amounts of data without the need of building new or using existing specialized visualization software and tool sets.

Eighty percent of Fortune 500 companies use SharePoint today and two out of three enterprise workers have SharePoint at their fingertips to manage workflows for various aspects of their business operations.

With this integration, SharePoint users can now easily visualize their Big Data projects using the tool that they use every day – SharePoint.sharepoint

The Talksum SharePoint integration reduces complexity, time, and costs that in the past became barriers to accessing and visualizing the inordinate amounts of data required for successful analytics. Now, Talksum provides Big Data for SharePoint.

Designed to accelerate real-time decisions, the TDSR improves data acquisition and transformation, and converts data into flexibly managed event streams. The TDSR has the ability to output to most external data stores, and it can format, aggregate, filter, count, and contextually route data in real time, as well as enrich the data by correlating events with other external data sources.

To learn more about the TDSR and how it can deliver Big Data for SharePoint, contact us and we’ll send you more information.

 

 

Solving Two of the Biggest Challenges of IoT: Data Lag and the Interoperability of Things

Barry Strauss, Talksum Head of MarketingBarry Strauss, Head of Marketing, Talksum

Processing large volumes of disparate data coming in at high speeds (aka Big Data) not only requires vast computing resources, it also takes a long time. The delay in time from when the data is received to when it turns into actionable insights causes financial losses, which can include costly infrastructure, down time, operational inefficiencies, disaster recovery costs, policy violations, security violations, costs of standardization, and lost opportunities, among others.

What is the source of the problem? Existing solutions first store the data, then make sense out of it when needed. By doing this, 80 percent of an analytics project typically involves data preparation for analysis when it is needed, leaving only 20 percent for actually performing the analysis. Data preparation includes items such as indexing, mapping, data reducing, organizing, and cleaning.

data_information_decision

Traditional approaches try to solve this by making storage bigger and faster (improving traditional databases and building new storage solutions such as Hadoop, in-memory, and others), and building better analytics on top of it. But this comes with complexity and implementation expenses, as well as scalability and stability concerns.

Enter the Talksum solution, which takes the approach of first understanding the data and acting upon it in real time before storing. The hardware-based solution allows enterprises to apply business logic early in the process before data is stored; optimizing what needs to be acted upon in real time and what needs to be routed to respective downstream sources.

This approach also allows enterprises to efficiently manage, distribute, and track real-time Internet of Things (IoT) data. The Talksum solution provides the “Interoperability of Things” for the Internet of Things. Talksum products – the Talksum Data Stream Router™ (TDSR™) and the Embedded TDSR (eTDSR™) – connect data sources coming from multiple systems in different schemas, protocols, and formats. The solution can also extract, transfer, and asynchronously load data to different storage systems, providing interoperability to the systems that would otherwise live in silos.

iot_tdsr_solution

 

The TDSR/eTDSR solution works at both remote sites (IoT, Smart Cities) and at the data center. Each can be independent of the other or can work together.

At remote locations, the eTDSR collects any type of sensor data, filters it, determines critical events, and contextually routes the relevant data to the appropriate services, including the data center.

At the data center, the TDSR retrieves data from the eTDSR and other sources for consumption by respective applications and data storage systems. It forwards relevant information back to the remote sites, to data centers, and to multiple domains, as applicable.

If you are interested in more information about the Talksum IoT solution and how it can help your organization, fill out our contact form and we will get back to you as soon as possible.

 

Click here for more information about Talksum products.

 

 

A Talksum Perspective – Understanding Data Early in the Process

Barry Strauss, Talksum Head of MarketingBarry Strauss, Head of Marketing, Talksum

With the amount of data increasing at exponential rates, you would think that businesses today would have it made, that they would be overwhelmed with information, and that they could apply information to problems on the spot, react instantaneously, and even be more proactive than ever. Unfortunately, this is most often not the case.

The inordinately massive amount of available information has ironically put a strain on the enterprise, more specifically on the network infrastructure. Big Data that gets bottlenecked and can’t be served properly becomes responsible for down time, operational inefficiencies, potential disasters, policy violations, lost opportunities, higher costs, security violations, and other problems.

Ultimately, the ineffective infrastructure triggers financial losses that occur because of the inability to make real-time decisions with the data.

The traditional approach to fixing this problem is to first store data, and then to make something out of it. The focus of innovation is to make storage bigger and faster (improve traditional databases and build new storage solutions such as Hadoop, in-memory databases, and others) and build analytics on top of it. This becomes complex and expensive to implement and also raises concerns in scalability and stability.

Talksum has tackled this problem with an efficient approach – understanding data and then acting upon it in real time before storing. This allows enterprises to apply business logic early in the process before data is stored, and optimize what needs to be acted upon in real time and what needs to be routed to respective downstream sources.

Again, the key point of the Talksum approach is to understand the data first before it is stored, as opposed to today’s approach of storing first, and then trying to figure out what is in the data.

At the end of the day, it all comes down to saving $$$$ and eliminating financial losses. The underlying, innovative approach built into the Talksum product allows a single Talksum Data Stream Router (TDSR) to replace racks of servers in the data center. This drastically reduces the infrastructure footprint, staffing and support needs, energy consumption, the number of required software licenses, and other costs. At the same time, the TDSR reduces the number of steps and the amount of time (from days or weeks to seconds and minutes) needed to make timely decisions, create reports, build charts, and take appropriate actions.

The Talksum solution also helps data centers solve one of their biggest challenges – dealing with multiple logging formats and data schemas – by providing a universal logging profiler, as well as other systems interoperability problems.

The TDSR performs all of this while enforcing security and policy compliance.

To sum it up, the TDSR reduces many solutions that apply to challenges and problems to a single solution that covers all. And it does this in real time at network speeds.

 

Click here for more information about the Talksum product and its features.