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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.

Talksum Announces Cross-Domain Data Management Solution for Oil and Gas Exploration and Production

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San Francisco, CA — October 16, 2013 — Talksum, Inc., a leader in real-time data processing solutions, today announced its high-speed cross-domain data management solution for oil and gas exploration and production. Designed to accelerate real-time decisions, the Talksum solution improves data acquisition and transformation, and converts data into flexibly managed event streams, tailored for cross domains such as exploration, extraction, navigation, distribution, communications, health and services, refinery control, and others within the oil and gas sector.

The Talksum cross-domain solution handles data sets at the well site, remote units, regional sites, headquarters, and at the real-time operation center (RTOC) level and can format data in real time, as well as enrich data by correlating events with other external data sources.

The Talksum Data Stream Router – TDSR – filters, data reduces, monitors, aggregates, enriches, analyzes, and routes live streams to power, in real time, data sensor information and alerts such as flow rate, fluid pressures, casing seals, blowout preventer integrity, fracture gradient conditions and pore pressure, gas detection, and other safety and efficiency mechanisms, and routes the relevant data to the respective locations. The TDSR data management solution offers a systems approach, which integrates multiple domains that together assess and potentially affect overall well integrity and safety.

“Oil and gas engineering, production, and operations are exceedingly complex and depend on a wide range of technologies and a large number of contractors and service providers with disparate types of data,” said Alex Varshavsky, founder and CEO of Talksum. “In a cross-domain scenario, the TDSR solution would ingest the different types of data, allow the data to “talk” to each other, and intelligently route relevant parts to the appropriate real-time BI tools, dashboards, and respective databases at the well site, remote units, RTOC, and so on, for immediate action. In addition, pertinent parts of the data flow would be streamed to other cross domains such as health services, insurance companies, and the like, to minimize latency.”

The TDSR can be used for cyber security, a difficult task that must account for different transports, syntaxes, structures, and content. “It’s critical to implement mechanisms for detecting, deterring, and analyzing security events in real time – no matter where they originate from or what they affect,” said Varshavsky. “The TDSR offers an efficient and cost-effective way to accomplish this.”

In addition to cross-domain data management, the Talksum product includes foundational components for changes in government regulations and standards, as well as for policy control.

 

About Talksum

Talksum, Inc. is a leader in high-speed data processing and management solutions whose mission is to develop new ways of processing, routing, and managing Big Data. The Talksum Data Stream Router provides a real-time streaming data solution that is perfect for Big Data initiatives that require massive amounts of data processing.

Connect with Talksum via Facebook, Twitter and LinkedIn.

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Press contact:
Talksum Inc.
Barry Strauss
Head of Marketing
barrys@talksum.com
415-580-2489

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Insurance Telematics: Disparate Data Needs to “Talk”

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

Last week, we attended the Chicago Insurance Telematics USA 2013 conference, which is now billed as the largest ever conference devoted to insurance telematics. Day one of the conference focused on what insurers need to be doing to get their usage-based insurance (UBI) products off the ground. A large part of day two was devoted to how they could do a better job with the products they already have on the market.

A key ingredient to both days revolved around data acquisition – more precisely, how does the massive amount of disparate data from various providers “talk” to each other.

There is a divergence in the telematics data provided by different providers. For example, some companies may only report the odometer reading of a vehicle; another company might focus on brake pedal usage; and a third might offer transmission gear positioning. How does the information from the various providers “talk” to each other within one UBI system?

The Talksum Data Stream Router (TDSR) handles disparate data sets from multiple companies and can format the data in real time, as well as enrich the data by correlating events with other external data sources. The TDSR ingests, normalizes, filters, data reduces, monitors, aggregates, enriches, analyzes, and routes live streams to the targeted insurance system. The TDSR can ingest and normalize any type of sensor data, including JSON, CEE, OpenXC, and many others. It handles multiple protocols, such as TCP and UDP and multiple message types, such HTTP, RFC3164, Access Log, and so on. The Talksum product transforms the information into a common protocol and message format and routes to the UBI system.

What does this mean? The TDSR lets the incoming, disparate data from different providers “talk” to each other, setting a common ground for insurance telematics systems.

In addition, the Talksum product includes foundational components for regulatory compliance, government standards, and policy control, making it easier for insurance companies to focus on what they do best – insurance.

 

A Router by Any Other Name …

bios_sergeySergey Biryukov, Founder and President, Talksum

When Shakespeare’s Juliet said to Romeo, “What’s in a name? That which we call a rose by any other name would smell as sweet,” Juliet was saying that a name is an artificial and meaningless convention, and that she loved the person who was called “Montague,” not the Montague name. Applying that wisdom to Big Data processing and management today, Juliet might ask, “What’s in a router?” And, we would say, “it’s not the router, per se, it’s the approach to data architectures and management strategies used to create the router that matters, and which adds the value.”

For example, large enterprises look at routers to not only “route,” but also to monitor, plan, data reduce, enrich, analyze, prevent network failures, and protect against cyber attacks. This doesn’t just happen; it’s a function of the architectural approach and data management design of the product. When talking about routers, Vladimir Gabrelyan, CTO of Mail.ru, says “At Mail.ru, it is a top priority to not only monitor network flow, but also to plan accordingly, prevent network failure, and protect against cyber attacks – all without limitations such as the high cost of implementation and privacy concerns.”

We’ve built the high-performance Talksum Data Stream Router, or TDSR, with that in mind. Talksum has taken a new approach to data management with a focus on speed, simplicity, and value. It handles the Big Data initiatives of today that require massive amounts of data processing in real time. It simplifies the data management process, making it easy to plan, transform, filter, data reduce, monitor, enrich, and analyze data in real time while reducing costs of acquisition, ETL, and integration; and the privacy-compliant TDSR prevents network failures and protects against cyber attacks. Value can be seen from its high efficiency, which requires less resources and less spend, resulting in greater value.

Vladimir adds, “The Talksum Data Stream Router works with network protocols such as NetFlow to provide a cost-efficient solution. The TDSR reduces the amount of data by orders of magnitude without information loss. It acts on abnormal conditions in real time; it aggregates, orders, and sorts NetFlow data before routing it to the downstream sources, making it ready for BI tools to consume in real time.”

I only wonder what may have happened if Romeo and Juliet had the benefit of a TDSR? In my scenario, monitored, data-reduced information would have been routed and consumed by Romeo letting him know that Juliet was safely sleeping, no need for poisoning himself. And maybe the TDSR would have routed information to the parents, who could have analyzed their disputes in real time to put their feud to rest.

 

The Importance of Handling Stale, Out-of-Date Big Data

Dale Russell, Talksum CTODale Russell, CTO, Talksum

Last month, freelance writer Loraine Lawson wrote an article in IT Business Edge entitled Three Reasons Why Life Cycle Management Matters More With Big Data. In the article, she points to the following three reasons why life cycle management matters more with Big Data:

  1. Big Data grows ridiculously fast. According to Maria C. Villar, managing partner of Business Data Leadership, each day we create 2.5 EB of unstructured and structured data. She goes on to say that “a single jet engine can generate 10 TB of data in 30 minutes.”
  2. Most Big Data is ephemeral by nature. It not only grows at a fast rate, it also becomes outdated too quickly to be useful.
  3. Out-of-date Big Data can undermine the results of your business analytics.  A lot of data gets outdated quickly. Since you often look for deviations from normal conditions, she adds that real-time monitoring plays a major role in many Big Data use cases.

With this in mind, you can see how the market has added to the three defining properties of Big Data – volume, variety, and velocity – which was introduced as the 3Vs in a 2001 MetaGroup research publication. We now have to look at the affect of stale, out-of-date Big Data on business, as well as how it affects consumers and ultimately everyone. An organization doesn’t care when things are under control, it’s when they fail or take a wrong turn that is critical.

As an example of this, let’s take a look at the automotive industry, which is currently testing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) digital short-range communications (DSRC) processing solutions for the “connected vehicle.” In this market, high-volume data processing of 1 million+ events/sec is required, along with real-time management and routing of sensor data, which affects engine performance, braking, direction of travel, velocity, road conditions, emergency circumstances, navigation, and other time-sensitive operations. You get the picture; stale data turns into nightmares and catastrophes.

In this connected vehicle scenario, where cars and emergency vehicles “talk” to each other, as well as to remote data centers, it is extremely important to process the data as it comes in, to reduce the data so as not to overload the system, and to act on the “alert” data, in real time, to avoid catastrophes and ensure smooth V2V and V2I operations. The Talksum Data Stream Router™, or TDSR™, does just that. It is designed to accelerate real-time decisions by improving data acquisition and transformation and converting data into flexibly managed event streams. Using the TDSR, different types structured and semi-structured data can be ingested and normalized, non-critical data can be reduced without losing the informative part, and the critical data can be routed appropriately.

In addition, the TDSR includes the foundational components for regulatory compliance, government standards, and policy control, which are mandatory in the automotive market.

This is just one of many examples for handling ridiculously fast-growing Big Data, processing it before it becomes stale, and reducing, filtering, monitoring, and routing the data in real time to avoid disasters and to keep operations running smoothly – ultimately resulting in an efficient and safe solution. To view other examples, click Talksum Data Stream Solutions.