all about ipv6

MIT selling 8 million coveted IPv4 addresses; Amazon a buyer

By Paul McNamara

MIT is selling half of its 16 million valuable IPv4 addresses – an increasingly scarce stash it has held since the birth of the Internet. While details of the sale have not been made public, at least some of those addresses have already been transferred to Amazon.

MIT says it will use the proceeds of the sale to finance its own IPv6 network upgrades and “support activities focused on the future of the Internet and the global cyber-infrastructure.”

From an announcement by Next Generation MITnet.

Fourteen million of these IPv4 addresses have not been used, and we have concluded that at least eight million are excess and can be sold without impacting our current or future needs, up to the point when IPv6 becomes universal and address scarcity is no longer an issue. The Institute holds a block of 20 times 10^30 (20 nonillion) IPv6 addresses.

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MIT selling 8 million coveted IPv4 addresses; Amazon a buyer

By News Aggregator

By Paul McNamara

MIT is selling half of its 16 million valuable IPv4 addresses – an increasingly scarce stash it has held since the birth of the Internet. While details of the sale have not been made public, at least some of those addresses have already been transferred to Amazon.

MIT says it will use the proceeds of the sale to finance its own IPv6 network upgrades and “support activities focused on the future of the Internet and the global cyber-infrastructure.”

From an announcement by Next Generation MITnet.

Fourteen million of these IPv4 addresses have not been used, and we have concluded that at least eight million are excess and can be sold without impacting our current or future needs, up to the point when IPv6 becomes universal and address scarcity is no longer an issue. The Institute holds a block of 20 times 10^30 (20 nonillion) IPv6 addresses.

To read this article in full or to leave a comment, please click here

Read more here:: www.networkworld.com/category/lan-wan/index.rss

The post MIT selling 8 million coveted IPv4 addresses; Amazon a buyer appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Introducing the Arduino MKRFOX1200

By Arduino Team

On Arduino Day, we announced the latest member of the Arduino MKR family: the MKRFOX1200. This powerful IoT development board offers a practical and cost effective solution for Makers looking to add Sigfox connectivity to their projects with minimal previous networking experience.

The MKRFOX1200 shares several similarities with other MKR products, like the MKR1000 and MKRZero, including a compact form factor (67 x 25mm) and a Microchip SAM D21 32-bit Cortex-M0+ microcontroller at its core. The recently unveiled board also features an ATA8520 module for long-range, low-energy consumption, and is capable of running for over six months on two standard AA 1.5V batteries.

Designed for Makers ready to take their IoT projects into the real world, the MKRFOX1200 comes with a GSM antenna that can be attached to the board and a two-year subscription to the Sigfox network. This provides users with full access to Sigfox’s efficient messaging system (up to 140 messages per day), cloud platform, webhooks, APIs, as well as the new Spot’it geolocation service.

MKRFOX1200 can be used in a wide variety of settings, from agriculture (livestock management, smart irrigation and weather stations), to smart cities (dumpster monitoring, air quality networks, street lighting or parking lot tracking), to utility metering and other industrial applications.

“Sigfox loves Makers,” says Nicolas Lesconnec, Head of Developer Relations. “Sigfox aims to empowers billions of new IoT solutions. We’re proud to partner with Arduino, the leading open-source electronics platform, to offer the simplest way to connect anything.”

Sigfox currently operates in over 30 countries, with more to follow in the next few years. (Use this map to see whether it has been deployed or is rolling out in your area.) The first version of the MKRFOX1200 is compatible with Sigfox Radio Configuration Zone 1 (868MHz, 14dBm), meaning it is only supported in network-covered regions of Europe, the Middle East, and South Africa.

Interested? You can find the MKRFOX1200’s specs here, and watch Massimo Banzi’s overview below. The board is now available on Arduino’s European online store!

Read more here:: blog.arduino.cc/feed/

Introducing the Arduino MKRFOX1200

By News Aggregator

By Arduino Team

On Arduino Day, we announced the latest member of the Arduino MKR family: the MKRFOX1200. This powerful IoT development board offers a practical and cost effective solution for Makers looking to add Sigfox connectivity to their projects with minimal previous networking experience.

The MKRFOX1200 shares several similarities with other MKR products, like the MKR1000 and MKRZero, including a compact form factor (67 x 25mm) and a Microchip SAM D21 32-bit Cortex-M0+ microcontroller at its core. The recently unveiled board also features an ATA8520 module for long-range, low-energy consumption, and is capable of running for over six months on two standard AA 1.5V batteries.

Designed for Makers ready to take their IoT projects into the real world, the MKRFOX1200 comes with a GSM antenna that can be attached to the board and a two-year subscription to the Sigfox network. This provides users with full access to Sigfox’s efficient messaging system (up to 140 messages per day), cloud platform, webhooks, APIs, as well as the new Spot’it geolocation service.

MKRFOX1200 can be used in a wide variety of settings, from agriculture (livestock management, smart irrigation and weather stations), to smart cities (dumpster monitoring, air quality networks, street lighting or parking lot tracking), to utility metering and other industrial applications.

“Sigfox loves Makers,” says Nicolas Lesconnec, Head of Developer Relations. “Sigfox aims to empowers billions of new IoT solutions. We’re proud to partner with Arduino, the leading open-source electronics platform, to offer the simplest way to connect anything.”

Sigfox currently operates in over 30 countries, with more to follow in the next few years. (Use this map to see whether it has been deployed or is rolling out in your area.) The first version of the MKRFOX1200 is compatible with Sigfox Radio Configuration Zone 1 (868MHz, 14dBm), meaning it is only supported in network-covered regions of Europe, the Middle East, and South Africa.

Interested? You can find the MKRFOX1200’s specs here, and watch Massimo Banzi’s overview below. The board is now available on Arduino’s European online store!

Read more here:: blog.arduino.cc/feed/

The post Introducing the Arduino MKRFOX1200 appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Industrial IoT startup Elmodis closes $4.9M Series A

Elmodis, a Poland-based industrial IoT startup raised $4.9M Series A on April 9, 2017 from Innovation Nest, Intel Capital, and SET Ventures.

Led by CEO Artur Hanc and COO Adam Komarnicki, the company started with seed capital of $250,000 in 2015. Its primary target market includes OEMs (Original Equipment Manufacturers) and end-users i.e. plants operating in industries such as manufacturing, mining, energy, and oil & gas.

Elmodis is an integrated hardware and software solution which consists of Elmodis Plug&Play diagnostics device connected directly to electric motors of industrial machines, a dedicated client dashboard integrated with Microsoft Azure IoT cloud, and Elmodis machine-specific algorithms on each device using advanced edge computing technology.

The three key use cases of Elmodis are energy efficiency, predictive maintenance, and asset optimization.

Existing machine-specific IIoT solutions use vibration or temperature sensors to gauge machine-health. Elmodis turned the approach on its head. Instead, it appends a plug & play device directly to the electric motor of a machine eliminating the need to install several sensors and have a specialist who knows where to place them. The hardware component of Elmodis reads motors for problems and improvements, sends the data to the Azure cloud, and provides insights such as risk notifications. It also builds analytical models for diagnostics of connected machines.

Typical business benefits that Elmodis promises for asset-intensive industries are reduction in warranty and repair costs, energy consumption, and prevention of failures arising from incorrect usage. A report by World Economic Forum and Accenture observed that manufacturers using IIoT solutions are “achieving results such as savings on scheduled repairs (12%), reduced maintenance costs (nearly 30%) and fewer breakdowns (almost 70%)”.

The market activity in IIoT space corresponds to these findings. Another industrial IoT startup GoFactory which raised $2M was acquired in 2016 by Space‐Time Insight, Inc., a provider of situational intelligence solutions.

Read more here:: feeds.feedburner.com/iot

Industrial IoT startup Elmodis closes $4.9M Series A

By News Aggregator

Elmodis, a Poland-based industrial IoT startup raised $4.9M Series A on April 9, 2017 from Innovation Nest, Intel Capital, and SET Ventures.

Led by CEO Artur Hanc and COO Adam Komarnicki, the company started with seed capital of $250,000 in 2015. Its primary target market includes OEMs (Original Equipment Manufacturers) and end-users i.e. plants operating in industries such as manufacturing, mining, energy, and oil & gas.

Elmodis is an integrated hardware and software solution which consists of Elmodis Plug&Play diagnostics device connected directly to electric motors of industrial machines, a dedicated client dashboard integrated with Microsoft Azure IoT cloud, and Elmodis machine-specific algorithms on each device using advanced edge computing technology.

The three key use cases of Elmodis are energy efficiency, predictive maintenance, and asset optimization.

Existing machine-specific IIoT solutions use vibration or temperature sensors to gauge machine-health. Elmodis turned the approach on its head. Instead, it appends a plug & play device directly to the electric motor of a machine eliminating the need to install several sensors and have a specialist who knows where to place them. The hardware component of Elmodis reads motors for problems and improvements, sends the data to the Azure cloud, and provides insights such as risk notifications. It also builds analytical models for diagnostics of connected machines.

Typical business benefits that Elmodis promises for asset-intensive industries are reduction in warranty and repair costs, energy consumption, and prevention of failures arising from incorrect usage. A report by World Economic Forum and Accenture observed that manufacturers using IIoT solutions are “achieving results such as savings on scheduled repairs (12%), reduced maintenance costs (nearly 30%) and fewer breakdowns (almost 70%)”.

The market activity in IIoT space corresponds to these findings. Another industrial IoT startup GoFactory which raised $2M was acquired in 2016 by Space‐Time Insight, Inc., a provider of situational intelligence solutions.

Read more here:: feeds.feedburner.com/iot

The post Industrial IoT startup Elmodis closes $4.9M Series A appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

IDG Contributor Network: IoT protects fishing fleets and global fisheries with RPMA technology

By Deepak Puri

The global seafood industry is over $190 billion. Millions of fishers take to the oceans each day to feed local communities and a growing global appetite for seafood.

How can the demand for fish be met while maintaining healthy oceans? A new IoT-based solution holds promise.

Background: The challenge of monitoring fishing boats

Over half of the world’s seafood is exported from developing countries. Much of the catch is from small fishing boats, which are difficult to monitor and protect. Commercial fishing in developing regions typically occurs within 30 miles from land. Establishing a communication channel that can support hundreds of fishing boats spread out over a large area is a challenge. Boats are small and lack dependable power. Devices have to be both affordable and rugged.

To read this article in full or to leave a comment, please click here

Read more here:: www.networkworld.com/category/lan-wan/index.rss

IDG Contributor Network: IoT protects fishing fleets and global fisheries with RPMA technology

By News Aggregator

By Deepak Puri

The global seafood industry is over $190 billion. Millions of fishers take to the oceans each day to feed local communities and a growing global appetite for seafood.

How can the demand for fish be met while maintaining healthy oceans? A new IoT-based solution holds promise.

Background: The challenge of monitoring fishing boats

Over half of the world’s seafood is exported from developing countries. Much of the catch is from small fishing boats, which are difficult to monitor and protect. Commercial fishing in developing regions typically occurs within 30 miles from land. Establishing a communication channel that can support hundreds of fishing boats spread out over a large area is a challenge. Boats are small and lack dependable power. Devices have to be both affordable and rugged.

To read this article in full or to leave a comment, please click here

Read more here:: www.networkworld.com/category/lan-wan/index.rss

The post IDG Contributor Network: IoT protects fishing fleets and global fisheries with RPMA technology appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Cognitive Push: Progress Software Buys DataRPM

By News Aggregator

By George Leopold

The acquisition of a cognitive-based predictive maintenance specialist by application developer Progress Software Corp. may signal the beginning of a long-awaited big data consolidation, perhaps driven by emerging deployments such as the industrial Internet of Things.

The late March acquisition of DataRPM, a privately held machine learning company by Progress (NASDAQ: PRGS) is part of what the software vendor said was it’s a key component of its platform strategy for delivering “cognitive-first” applications.

Progress acquired DataRPM for $30 million, including $28.3 million paid in cash, and the balance payable to DataRPM’s founders in the form of restricted Progress stock.

Progress, Bedford, Mass., said the acquisition of DataRPM gives it a predictive analytics capability it can use to round its emerging cognitive apps platform. DataRPM’s cognitive capability would be integrated with current front-end application development tooling along with back-end application services and data connectivity, the company said.

Founded in 2012, DataRPM of Redwood City, Calif., offers a cognitive data science platform for developing predictive analytics. The patented platform uses “meta” machine learning and artificial intelligence to automate predictive maintenance used in industrial IoT deployments. The platform leverages meta-learning capabilities to improve predictions about equipment failures. Industrial customers for the prediction platform include automaker Jaguar, Mitsubishi Heavy Industries (TYO: 7011) and South Korean electronics giant Samsung (KRX: 005930).

The combination of the Progress application platform with DataRPM’s cognitive predictive maintenance tool would hasten development of “cognitive applications across multiple markets,” Sundeep Sanghavi, co-founder and CEO of DataRPM, noted in a statement.

The predictive maintenance technology is currently used to detect random and unknown failures using unsupervised and partially supervised machine learning techniques. Unsupervised learning involves presenting a machine presented with unlabeled data. It is instructed to discover underlying patterns such as a clustering structure.

In the case of semi-supervised learning, unlabeled examples are used along with a small amount of labeled data to improve learning accuracy.

DataRPM also touts its approach as addressing the data scientist shortfall by teaching machines to automate analytics by via “meta learning,” or learning from experience and feedback. The resulting automation would eliminate the need for hiring sought-after data scientists.

The startup’s approach also can be scaled across industrial operations to monitor and track a range of machines.

“The combination of application development, data connectivity, and business rules management software with machine learning and predictive analytics makes sense in terms of providing a platform that will enable [independent software vendors] and enterprises to develop operational applications that take advantage of the intelligence being generated by big data and IoT projects,” noted Matt Aslett, research director for data platforms and analytics at 451 Research.

Recent items:

DataRPM Gets $5M to Liberate Data From Warehouses

Why Big Data Isn’t Changing Everything (At Least Not Yet)

The post Cognitive Push: Progress Software Buys DataRPM appeared first on Datanami.

Read more here:: www.datanami.com/feed/

The post Cognitive Push: Progress Software Buys DataRPM appeared on IPv6.net.

Read more here:: IPv6 News Aggregator

Cognitive Push: Progress Software Buys DataRPM

By George Leopold

The acquisition of a cognitive-based predictive maintenance specialist by application developer Progress Software Corp. may signal the beginning of a long-awaited big data consolidation, perhaps driven by emerging deployments such as the industrial Internet of Things.

The late March acquisition of DataRPM, a privately held machine learning company by Progress (NASDAQ: PRGS) is part of what the software vendor said was it’s a key component of its platform strategy for delivering “cognitive-first” applications.

Progress acquired DataRPM for $30 million, including $28.3 million paid in cash, and the balance payable to DataRPM’s founders in the form of restricted Progress stock.

Progress, Bedford, Mass., said the acquisition of DataRPM gives it a predictive analytics capability it can use to round its emerging cognitive apps platform. DataRPM’s cognitive capability would be integrated with current front-end application development tooling along with back-end application services and data connectivity, the company said.

Founded in 2012, DataRPM of Redwood City, Calif., offers a cognitive data science platform for developing predictive analytics. The patented platform uses “meta” machine learning and artificial intelligence to automate predictive maintenance used in industrial IoT deployments. The platform leverages meta-learning capabilities to improve predictions about equipment failures. Industrial customers for the prediction platform include automaker Jaguar, Mitsubishi Heavy Industries (TYO: 7011) and South Korean electronics giant Samsung (KRX: 005930).

The combination of the Progress application platform with DataRPM’s cognitive predictive maintenance tool would hasten development of “cognitive applications across multiple markets,” Sundeep Sanghavi, co-founder and CEO of DataRPM, noted in a statement.

The predictive maintenance technology is currently used to detect random and unknown failures using unsupervised and partially supervised machine learning techniques. Unsupervised learning involves presenting a machine presented with unlabeled data. It is instructed to discover underlying patterns such as a clustering structure.

In the case of semi-supervised learning, unlabeled examples are used along with a small amount of labeled data to improve learning accuracy.

DataRPM also touts its approach as addressing the data scientist shortfall by teaching machines to automate analytics by via “meta learning,” or learning from experience and feedback. The resulting automation would eliminate the need for hiring sought-after data scientists.

The startup’s approach also can be scaled across industrial operations to monitor and track a range of machines.

“The combination of application development, data connectivity, and business rules management software with machine learning and predictive analytics makes sense in terms of providing a platform that will enable [independent software vendors] and enterprises to develop operational applications that take advantage of the intelligence being generated by big data and IoT projects,” noted Matt Aslett, research director for data platforms and analytics at 451 Research.

Recent items:

DataRPM Gets $5M to Liberate Data From Warehouses

Why Big Data Isn’t Changing Everything (At Least Not Yet)

The post Cognitive Push: Progress Software Buys DataRPM appeared first on Datanami.

Read more here:: www.datanami.com/feed/