• No results found

NEW LIFE FOR EMBEDDED SYSTEMS IN THE INTERNET OF THINGS

N/A
N/A
Protected

Academic year: 2021

Share "NEW LIFE FOR EMBEDDED SYSTEMS IN THE INTERNET OF THINGS"

Copied!
5
0
0

Loading.... (view fulltext now)

Full text

(1)
(2)

EXECUTIVE SUMMARY

The Internet of Things (IoT) is no longer a fanciful vision. It is very much with us, in everything from factory automation to on-demand entertainment. Yet by most accounts, the full potential of interconnected systems and intelligent devices for changing the way we work and live has barely been tapped.

Up until now, IoT software solutions have largely had to be built from scratch with a high degree of customization to specific requirements, which has driven up the cost and complexity of development and deterred many prospective entrants to the market. What have been missing are developer tools that alleviate the costs associated with building the foundational infrastructure—the “plumbing” of their solutions—so they can focus on optimizing the core functionality and bring solutions to market more quickly with less cost. Wind River® is addressing these challenges with new solutions that have the potential to expand the market for IoT by reducing the cost and complexity of development. This document outlines the challenges that IoT poses for developers, and how Wind River solutions can help overcome them.

TABLE OF CONTENTS

Executive Summary . . . . 2

Driving Business Value . . . . 3

Opportunities and Challenges for Embedded Systems . . . . 3

Optimizing the Operating System . . . . 3

Gaining the Edge . . . . 4

Conclusion . . . . 5

(3)

DRIVING BUSINESS VALUE

Businesses of all sizes and across a variety of sectors have begun to realize the potential of IoT . Driven by the convergence of cloud technology, rapidly growing data volumes, and connected, intelligent devices communicating with each other, IoT is transforming existing business and revenue models and generating new ones . It is the new driver of business value, enabling organizations to more effectively leverage their data, innovate in services, multiply productivity and efficiency, improve real-time decision making, and solve critical problems .

Consider just one key benefit made possible by IoT: predictive maintenance . Sensors in remote pieces of equipment in the field— the “edge” of the Internet of Things—can deliver a steady stream of intelligence on the health of the equipment, and alert operators in a central location when a piece is showing signs of wear . The equipment can be adjusted or repaired—often remotely—before it fails . This reduces the risk of lengthy downtime and also cuts down on the number of “truck rolls” (maintenance crews having to go out for routine inspections or repairs) . The greater the distance between the edge devices and the operator, the greater the value realized .

OPPORTUNITIES AND CHALLENGES FOR EMBEDDED SYSTEMS

The projected growth of IoT solutions creates vast new opportunities for developers of embedded systems . As devices become more powerful with technology such as the Intel® Edison, and more resource-constrained with the rising popularity of wearables, a more diverse set of devices will reside on the edge and need to rely on solution vendors seeking to con nect, manage, and secure the devices .

As often happens, however, these opportunities bring with them a host of challenges . Developers need to build devices that allow seamless connectivity with one another . They need to address security risks to protect highly interconnected, often wireless systems from intrusion while ensuring performance and reliability . And the race to deliver effective solutions will be highly

competitive, putting pressure on developers to offer differentiated products with leading-edge features and capabilities, and bring them to market faster .

A significant challenge in developing IoT solutions is the ability to centrally manage edge devices . In IoT “constellations”—networks with perhaps thousands to millions of end points—management of devices at the edge requires intelligence throughout the system, including device-level execution capabilities, remote management and provisioning capabilities at the gateway, and cloud-based delivery of software updates .

OPTIMIZING THE OPERATING SYSTEM

The engine that runs the billions of devices that run on the Internet of Things is the real-time operating system (RTOS) . To help developers of embedded systems meet the challenges posed by designing for IoT, an RTOS must deliver the scalability, modularity, connectivity, security, safety, and cutting-edge feature set demanded by highly connected, security-critical, remotely managed IoT solutions . It needs to support industry-leading communications standards and protocols such as CAN, Bluetooth, Continua, ZigBee, Wi-Fi, and Ethernet, and deliver high-performance networking capabilities out of the box .

The Wind River RTOS VxWorks® has long set the standard for manageability, connectivity, and security in embedded devices . Increasingly, developers are trying to build powerful deterministic capabilities and processing efficiency into ever smaller, resource-constrained, low-power devices . The Wind River IoT-optimized RTOS gives developers the flexibility to pack a lot of innovation into small form-factor devices without compromising performance, reliability, or security .

Wind River also provides development environments such as Wind River Intelligent Device Platform, which enables developers of embedded systems to jump-start development with pre-configured software components and developer tools that leverage Wind River Linux and additional integrated security features .

(4)

GAINING THE EDGE

Until now, costs, complexity, and time-to-deployment challenges have imposed serious barriers to entry into IoT for many organizations . IoT solutions have tended to be highly customized to specific vertical applications, which adds to both the upfront development and ongoing maintenance costs, as well as to the length of development projects .

Wind River Edge Management System stands to break down those barriers . Edge Management System is a cloud-based middleware stack that serves as a centralized console for an IoT solution, monitoring and exchanging data with edge devices .

Edge Management System divides edge management into two planes: the data plane and the management plane . The data plane focuses on gathering data from the edge—for example, sensor data or metadata related to device health . The management plane focuses on such activity as device provisioning, on-boarding, and

lifecycle management . It also enables engineers to access devices remotely and reset them if problems arise . This device manageability component is what differentiates the Wind River solution from existing IT platforms available .

Another key differentiator is that the Edge Management System agent is integrated with VxWorks and Wind River Linux, enabling the system to interact seamlessly with edge devices . This integra-tion abstracts away the complexity related to cloud connectivity, the management protocol, and command interpretation, which simplifies device-side application development .

Edge Management System enables developers to leapfrog having to build their own infrastructure and custom-code their own software for the technology stack, installing the “plumbing” that has to be in place in order for the solution to be developed and deployed . In so doing, it dramatically reduces the cost, time, and engineering resources required for development .

4 | White Paper

Figure 1: Wind River Edge Management System

Vertical Packaged Apps Remote Service, Vehicle Telematics, UBI, Asset Tracking, M-health, Smart Building Analytics Systems Hadoop, Greenplum Business Systems Salesforce, SAP Custom Apps GE, Philips, EMC, Diebold,Carefusion, NCR

IoT Application Services

Scripting API Web Services API

IoT Data Management

IoT Rules Engine IoT Data Model

IoT Connectivity

Agents Any Device Service

Service Delivery Platforms Billing, Provisioning, Device Management

Network Services

Data/Rate Plans

Communications Hardware

(Cellular, Wi-Fi, Satellite, Internet, ZigBee, Bluetooth, etc.)

IOT PLATFORM EDGE DEVICES ASSETS NETWORK SOLUTIONS Northbound Southbound CONNECT BUILD MANAGE

Heavy Equipment Insurance M-health

(5)

CONCLUSION

Just as the Internet of Things presents businesses in all industries with opportunities for innovation, it also presents tremendous opportunities for developers of embedded systems and IoT solutions . Developers who can meet the demand for reliable, secure, and readily manageable IoT solutions, quickly and at a fair cost, are the ones who stand to benefit . Wind River IoT-optimized solutions, backed by industry-leading expertise in embedded technology, give developers the competitive edge needed to capitalize on opportunities in this rapidly growing market .

References

Related documents

(3) The relationship between social support and smoking cessation outcomes (change in cotinine scores, cigarette use, withdrawal, urges, motivations for quitting smoking, and LDA

Y = yes, the authors in each study examined the effect of baseline psychological factors and found that they did have an effect on postoperative outcomes related to pain, function and

The American Association of Neurological Surgeons (AANS), the American Association of Orthopaedic Surgeons (AAOS), the Congress of Neurological Surgeons (CNS), the AANS/CNS

1) Regular arbitrators. Each arbitrator selects a random user node as its backup arbitrator to store a copy of its game states. If the user node fails, the backup arbitrator

4 Plasma a disintegrin-like and metalloproteinase with thrombospondin type-1 motifs 13 (ADAMTS13) activity (A) and antigen level (B) in plasma of healthy controls and patients

How enterprises will adopt Web Services How Pramati enables faster adoption Orchestration, management services Why choose Pramati tools.. The future is

Parkinsonova choroba, hypokinetická dyzartria, predspracovanie signálu, parametre rečo- vého signálu, post–processing parametrov, Pearsonov a Spearmanov koeficient, bloková schéma

Most subjective probability aggregation procedures use a single prob- ability judgment from each expert, even though it is common for experts studying real problems to update