We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.

Embedded Technology trends: an industry view



Industry analyst company The Gartner Group predicts that sensor technologies will be part of our everyday life by the year 2015. Sensors will be everywhere, as RFID tags on consumer products, devices monitoring tyre pressure, location-tracking tags carried by workers in sensitive or hazardous environments etc. In addition, most enterprise activities will be monitored by micro-controller based tools connected to the network - there is a general consensus that by 2010 embedded devices will represent 95% of all internet connected systems [2].

Gartner states that the widespread adoption of sensor technology will create the need for a new infrastructure to manage the unprecedented volumes of data generated [1,3].

Scalable grids of relatively cheap computational units, completely decoupled from the signal sources, will receive, modify, enrich and store data3. But to what purpose? Over the last 15 years we have become used to the idea that the main objective of business applications is to query stored data in order to gather meaningful insights. This is a manually instigated process, initiated by the particular need of an individual, but with real time sensor data this ‘pull’ approach provides very little business value.

Sensor technologies force us to rethink how we use data. We cannot possibly query databases to know the position or status of billions of items. Instead, each change in an item’s position or status, detected by sensors, must trigger specific, completely automated processes, such as updating a bus schedule, alerting a driver of the need to replace a tyre, or updating inventory level and raise a replenishment order.

Thus, the processing power provided by ever increasing capacity made available at lower costs by concepts such as grid-computing must be complemented by automated processing capabilities based around the sensor-generated events. Gartner has defined the software products capable of delivering both the ‘extreme’ transactional performance provided by grid-computing and the event-driven automated processing capabilities required to leverage the real time value of sensor information as Event Driven Application Platforms [4,5,8].

Satisfying the needs for event-driven performance with grid-based application platforms

By Year 2015 millions of signals generated by sensors and by network embedded devices will reach the enterprise every second. Obviously responding automatically to such tera-volumes of incoming events requires completely parallel process execution capabilities. However, parallel processing creates some specific technical requirements:

  • Business processes must modify core business data. Parallel processes trying to access and modify the same data object will create contention. This must be resolved to ensure determinism, so that data and transaction integrity is maintained.
  • A large number of computational resources need to access data stored in relational databases. If one single database, however powerful, is used, it will become a bottleneck. This issue must be addressed to provide scalability not only at the execution level, but also at the persistence layer.

-1-

1  2  3  

   Next Page

Explore Our Topics

  • EDITOR'S BRIEFING
  • Virtual Conferences
  • Webinars
  • Roundtables

BPM in Action

March 10, 2011

The sixth annual BPM in Action 2011 Virtual Conference will explore cutting-edge market developments in BPM and describe how to leverage them for improved business operation and performance. More

View All Virtual Conferences

Smart Case Management: Why It's So Smart.

Date:Nov 05, 2009
Time:12:00 PM ET- (17:00 GMT)

REGISTER TODAY!

Date:Oct 29, 2009
Time:15:00 PM ET- (19:00 GMT)

REGISTER TODAY!
View All Roundtables
  • Research Library
  • Podcasts
  • News

Joe McKendrick: Part II of II: Designing Evolve-ability into SOA and IT Systems

In part two of Joe McKendrick's recent podcast with Miko Matsumura, chief strategist for Software AG, they talk about how SOA and IT systems need to change and grow and adapt with the organization around it.

Listen Now

Phil Wainewright: Helping Brands Engage with Social Media

Phil Wainewright interviews David Vap, VP of products at RightNow Technologies, and finds out how sharing best practices can help businesses understand how best to engage with online communities.

Listen Now

Peter Schooff: Making Every IT Dollar Result in a Desired Business Outcome: Scott Hebner of IBM Rati

Scott Hebner, Vice President of Marketing and Strategy for IBM Rational, discusses a topic on the top of every company's mind today: getting the most from IT investments.

Listen Now

Jessica Ann Mola: Where Will BI Fit In? Lyndsay Wise Explains

In BI, this tough economy and the increasing role of Web 2.0 and MDM are certainly topics on people's minds today. WiseAnalytics' Lyndsay Wise addresses each of them in this informative podcast.

Listen Now

Dennis Byron: Talking with...Deepak Singh of BPM Provider Adeptia

Deepak Singh, President and CTO of Adeptia, joins ebizQ's Dennis Byron in a podcast that gets its hand around the trend of industry-specific BPM.

Listen Now
More Podcasts
  • Most Popular
  • Quick Guide
  • Most Discussed

Quick Guide: What is BPM?

Learn More

Quick Guide: What is Event Processing?

Smart event processing can help your company run smarter and faster. This comprehensive guide helps you research the basics of complex event processing (CEP) and learn how to get started on the right foot with your CEP project using EDA, RFID, SOA, SCADA and other relevant technologies. Learn More

Quick Guide: What is Enterprise 2.0?

A lot of people are talking about Enterprise 2.0 as being the business application of Web 2.0 technology. However, there's still some debate on exactly what this technology entails, how it applies to today's business models, and which components bring true value. Some use the term Enterprise 2.0 exclusively to describe the use of social networking technologies in the enterprise, while others use it to describe a web economy platform, or the technological framework behind such a platform. Still others say that Enterprise 2.0 is all of these things. Learn More