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The Internet of Things

Wind River is a world leader in embedded and mobile software. Wind River has been pioneering computing inside embedded devices since 1981, and its technology is found in more than 1 billion products. Wind River is headquartered in Alameda, California, with offices in more than 20 countries. To learn more, visit Wind River at www.windriver.com.

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www.windriver.com/iot

PrivateCloud

EmbeddedCloud

Data Center

BigData

Analytics

Gateways

Data CentersWith the amount of data doubling every two years, Data Centers are looking to efficiently scale in anticipation of the flood of data generated by people and machines, driving interest in software defined networking (SDN), off-the-shelf hardware, and open source technology.

6.2 GBper userper monthby 2017

Driven by the convergence of cloud technology, rapidly growing data volumes, and increasingly connected devices, the Internet of Things (IoT) poses new challenges and presents a host of new opportunities that can be seized right now by businesses of all sizes and industries. This system-of-systems will be fundamental to realizing business value in the future—unlocking the value hidden in data, identifying and creating new services, enhancing productivity and e�ciency, improving real-time decision making, solving critical problems, and developing new and innovative user experiences.

TelcosAs carriers look to monetize the massive amounts of data traveling over their networks, requirements for flow analysis, deep packet inspection, and sheer speed will grow. Cost pressure will drive interest in software solutions like network functions virtualization (NFV).

GatewaysGateways sit on the horizon between the revenue generative territory “north of the gateway,” where app stores, adaptive analytics, and the cloud are transforming businesses, and those devices “south of the gateway,” where cost pressure coexists with rapid innovation. Gateway devices must support a broad range of connectivity protocols and satisfy complex management and provisioning requirements.

Private CloudCompanies looking to transform their business through data will rely increasingly on private clouds tailored to their own anlalytic, security, and reliability requirements. The challenges faced by providers of public cloud infrastructure will hit home for IT departments.

Embedded CloudThe widespread adoption of multi-core technology in the embedded industry is spurring system-level approaches to computing. Virtualized application architectures open the door to the cloud, while advances in networking will enable this shift with nanosecond and microsecond latencies.

There will be a 50-fold growth in stored data from 2010 to 2020.

The CloudBy 2020 nearly 40% of data will interact with the public cloud, but its IT-like levels of reliability are inconsistent with the up-time demands of critical infrastructure and trusted systems designed to leverage IoT architectures.

AutomotiveModern IVI systems consist of as many as fifty million lines of code. The intelligence required to deliver on the promise of V2X capabilities or autonomous vehicles will be net-new, meaning more engineers and more complexity.

A single intelligent jet engine can generate 1TB of data during a five-hour flight.

Machine-generated data is expected to grow by a factor of 15x between now and 2020.

Sensor NetworksAs companies look to deploy sensor networks with millions of end-points, each sensor requires extreme reliability, wired or wireless connectivity, sensing, and security—all of which results in a complex requirement set.

Sensor HubsSensor hubs aggregate a representative data set from numerous packets of sensed data. This process requires opening those packets, analyzing their contents, validating their integrity, and verifying that these actions have taken place securely.

The Internet

Global ConnectivityBy 2020, 70% of data will be generated in locations other than the United States and Western Europe.

Only 15% of data today is structured; 85%—generated by humans and machines—is not.

SecurityEnd-to-end security is checked at the final destination; but before reaching the gateway, packets will often go through one or more wireless links that are by nature exposed to potential attackers. Per-hop security depends on the intelligence required to detect altered, dropped, or fake packets at each node that data intersects in the system-of-systems.

data point/second

data pointsper year1 =31.5M

Of the billions of devices that comprise our social and industrial infrastructure, a significant number perform discrete functions in network isolation. A subset of these devices will continue to be manufactured and maintained in this way, while others will require migration strategies—often referred to as “bolt-on” approaches— to connect and realize the benefits of IoT.

Greenfield devices are built from the ground up to take advantage of IoT and the system-of-systems. Connected, secure, and managed remotely, these devices are transforming established industrial companies by opening up new software-enabled revenue streams and enabling competitive differentiation.

Real-Time AnalyticsEnabling predictive maintenance and self-diagnostics, real-time analytics are performed autonomously by machines and devices. For example, systems can extend the life of components that are near failure by reducing mechanical load, or request service calls autonomously; and businesses can transition from costly scheduled maintenance to more efficient maintenance as needed.

The Intelligence in the Internet of Things

The Cloud

Edge ManagementIn device networks with thousands to millions of end points, attached to trusted systems and critical infrastructure, management of devices at the edge will require intelligence throughout the systems-of-systems: agent-based execution at the device level, remote management and provisioning capabilities delivered by gateways, and cloud-based delivery of updated software.

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Sources

Cisco, "Embracing the Internet of Everything to Capture Your Share of $14.4 Trillion,” 2013GE, "Industrial Internet: Pushing the Boundaries of Minds and Machines," November 2012IDC, The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East – United States, February 2013IDC, The Diverse and Exploding Digital Universe, March 2008IDC, Worldwide Intelligent Systems 2011-2015 Forecast: The Next Big Opportunity, September 2011“High availability,” Wikipedia

Headers

Aggregated Packet• Headers• Sensed Data• Message Integrity Code

Headers

Firmware Update• Headers• Firmware Content• Message Integrity Code

• Data Source (ID)• Data Destination• Timestamps• Key Identifier• Security Content

Adaptive AnalyticsTransforming business with insights gleaned from Big Data requires adaptive analytics, the study of large-scale data sets for emergent insights. In the system-of-systems, this work will be performed in the cloud as massive Hadoop clusters crunch data sets gathered through time. Adaptive analytics will also be crucial in evolving intelligence at the edge, refining requirements for data gathering.

99.999% availability means less than 5.26 minutes of downtime per year.

99.95% availability means as much as 21.56 minutes of downtime per month.