Skip to main content
LTTS

LTTS

Quick Links mini

  • Search
  • info@LTTS.com
  • English
  • 日本語
  • Israel
  • German
  • Contact
  • Engineering the change
  • Industry
    • Transportation
      • Aerospace
      • Automotive
      • Rail Transportation
      • Travel & Hospitality
      • Trucks & Off-Highway Vehicles
    • Industrial Products
      • Building Solutions
      • Lighting Engineering
      • Power electronics & drives
      • Renewable Energy
      • Test & Measurement
      • Power Generation & Transmission
    • Plant Engineering
      • CAPEX Project E/EPCM Services
      • Digital Engineering Services
      • Engineering Reapplication & Global Rollouts
      • Integrated Asset Management Services
      • Operational excellence
      • Plant sustenance & management
      • Regulatory compliance engineering
    • Semiconductors
      • IP Core Solutions
    • Media & Entertainment
      • Cable & Broadcasting
      • OTT
      • Rdk
      • Set-Top Boxes
      • Smart Home
    • Consumer Electronics
      • Consumer IoT
      • Enterprise Devices
      • Personal Devices
    • Healthcare
      • Healthcare Providers
      • Medical Devices
    • Telecommunications
      • 5G
      • SDN/NFV
      • Wireless Networks
      • Wireline Networks
    • Oil & Gas
      • Digitalization
      • Oil Field Equipment
      • Owners and Operators
    • Software Products
  • Services
    • Product Engineering
      • User Experience
      • Mechanical Design
        • CAE & CFD
        • CAx Automation
        • Integrated Design, Validation & Testing
      • Security
        • Security Monitoring
        • Security Solutions
        • Security Services
      • Software
        • Cloud Engineering
        • DevOps
        • Engineering Analytics
        • Immersive Experiences
        • Voice Innovations
      • Hardware
        • Embedded Systems
        • Wearables Engineering
        • Testing
        • Sustenance
      • VLSI
      • Testing & Validation
    • Manufacturing Engineering
      • PLM on Cloud
      • aspenONE on Cloud
      • Plant Design & Engineering
      • Digital Factory & Simulations
      • Line Expansion & Transfer
      • Frugal Product Design
      • Asset Care
      • Accelerated Operations
      • Manufacturing Automation
      • Agile Supply Chain
      • Content Engineering
    • Operations Engineering
      • Connected Service Support
      • Integrated Content Management
      • Intelligent Building Management
      • Sourcing & Procurement
    • Engineering Consultancy
      • Industry 4.0
      • Product Strategy
      • Security
      • Smart Factory
      • Sustainability
  • Solutions
    • FlyBoard®Advanced Digital Signage Solution
    • Connected Security Integrative Zero Trust Architecture
    • ESM Energy and Sustainability Manager
    • Cogmation Device Test Automation Framework
    • i-BEMSIntelligent Building Experience Management
    • UBIQWeise 2.0 Device to Cloud IoT Platform
    • AiKno™ Machine Learning, NLP & Vision Computing
    • Semiconductor IP For Security, Communication & Verification
    • nBOnnB-IoT Protocol Stack
    • Avertle®AI Predictive Maintenance Solution
    • ARC Asset Reliability Centre
    • CHEST-rAi™ AI Chest X-Ray Radiology Assist Suite
    • AnnotAi
    • AiCEArtificial Intelligence Clinical Evaluation
  • Insights
    • Blogs
      • 6 DevOps Trends to Watch Out for in 2023
      • A Validation Overview of ECU Communication Protocols in Automotive Audio Management
      • QOE Testing Paradigms for Media Streaming Platforms: Is Automation Your Answer
      • SIMD/SAMD: Everything You Need to Know
    • News
      • L&T Technology Services reports 21% growth and crosses the ₹300 crore mark in Net Profit in Q3FY23
      • LTTS Selected as Strategic Engineering Partner to Airbus for Advanced Capabilities and Digital Manufacturing Services
      • LTTS agrees to acquire Smart World & Communication business of L&T
      • Top global enterprises and engineers named winners of the inaugural Digital Engineering Awards
    • POV
      • Hidden Correlations Shaping the Future of European Enterprises
      • From the Super Bowl to 5G
      • Vehicle-to-Everything (V2X) Enabling Smarter, Safer, and Greener Transportation
      • Will 5G Technologies Drive a New Future for Media & Entertainment?
    • eBooks
      • The Art of Cyberwar
      • Digital Twin - The Future of Manufacturing
      • Digitalising Wind Energy Ecosystem
      • INDUSTRY 4.0: The Future Is Now
      • Digital Engineering Explained
      • Sustainability Engineering
  • Explore LTTS
    • About Us
    • Nearshore Centers
    • Testimonials
    • Events & Webinars
    • News & Media
    • Board of Directors
    • CSR
    • Accolades
    • Quality Management
    • Analysts
    • Careers
    • Investors
    • Media Kit
    • Resources
    • Alliances
    • Sustainability
  • Contact
 

Cloud engineering

Decentralizing Computing Power – Bringing Intelligence Closer to the ‘Edge’

  1. Home
  2. Blogs
  3. Industry
  4. Decentralizing Computing Power – Bringing Intelligence Closer to the ‘Edge’

Decentralizing Computing Power – Bringing Intelligence Closer to the ‘Edge’

Decentralizing Computing Power – Bringing Intelligence Closer to the ‘Edge’
Published on: 28 Mar, 2018
0 Views
0 comments
Share This Article:
  • Twitter
  • Facebook
  • Linked in
Artificial Intelligence
Cloud Computing
Edge Computing
On-Device Processing

There’s often a sense of ambiguity around new tech trends. No matter how promising they sound, there will be a pool of critics trying to disregard the possibilities they bring. Consider Cloud computing as an example. Back in 2008, many industry bigwigs dismissed the trend as a fad and yet here we are – almost a decade later – watching Cloud computing being taken to the edge.

Edge Computing – Toward Advanced On-Device Processing

Cloud services have long helped companies simplify and secure their data aggregation and processing functions. But, with time as processes, devices, machines and assets became more connected and distributed, companies realized that there was a need for more immediate intelligence from data closer to the source. This is where edge computing made its entry.

With this on-device computing approach, companies can reduce latency for applications, lower their dependencies on the Cloud, and better manage huge data sets generated by the Internet of Things (IoT). It is for this reason edge computing is fast making its way into manufacturing, which now needs enormous computing power to drive its smart factories.

Edge computing can help the manufacturing fraternity combat a range of challenges, including equipment breakdown and unplanned downtime. For instance, intelligent temperature monitoring sensors in factories– network, computing and storage capabilities–can be programmed to record temperature changes in the immediate surroundings. Should there be a fire, these programmed devices can self-trigger sprinklers, send a message to the fire department, and shut down the electrical system in the factory to prevent an explosion.

A scenario such as this would require machine-to-machine (M2M) edge computing to decrease network latency and deliver real-time control and monitoring. Historically, devices at the edge only ‘knew’ how to locally collect data and transmit it to a remote server. With the advent of artificial intelligence (AI), edge devices can be equipped with machine learning capabilities to self-learn and perform actions instead of waiting for a response from a central computer.

Industrial controllers like programmable logic controllers (PLCs) in an electronics manufacturing plant can be ‘taught’ to detect an abnormality, analyze the issue, and action remedial measures to enable seamless production. The PLCs can act as edge nodes with machine learning capabilities to actuate prescriptive and predictive maintenance, without any IT or human intervention.

Optimizing Remote Processes with Greater Agility

In difficult-to-reach locations, real-time decision making is imperative for optimizing processes, saving infrastructure from major disasters, and cost management. Offshore oil platforms, for instance, are places where real-time decision making is a major challenge.

Data pertaining to oil production, drilling safety, weather monitoring, etc. continues to be generated in real-time from the supervisory control and data acquisition (SCADA) system of each platform, at the rate of about one to two terabytes daily. Sending this amount of data directly to the Cloud and expecting real-time processing requires consistent and extremely high network bandwidth, which at an offshore site like this is not always possible.

A better approach is to process the data and churn out intelligence on-site, relieving the network from unwanted latency issues. Recently, a fault tolerant computer server and software manufacturer launched a virtualized, self-protecting edge computing platform which is specifically designed for industrial control system environments. The platform comes embedded with zero-touch computing properties and is expected to simplify a range of remote management activities such as Cloud-based health monitoring, automated site and data recovery.

Combining AI with Edge Computing – A Match Made in Heaven

Together, AI and edge computing can foster unprecedented innovations in sectors like automotive where assembly line operations are still largely scattered. From operating conveyor belts to managing supply chain operations, there are several areas where there remains a need to run real-time machine learning (ML) at the edge.

Any delay in data processing on the Cloud premise can cause total network disruption in a company, leading to operational downtime. AI processors – chips that can execute advanced ML algorithms can help in alleviating this shortage of intelligence at the edge. The market for this is still in its nascent stages but the results so far are promising.

Recently, a renowned chip maker managed to embed a high-end machine vision processor into a smart plug-and-play USB stick. Companies looking to implement AI technologies within physical products or machines can leverage this USB stick to expediently manage neural networks locally.

Moving to the edge doesn’t nearly spell doom for traditional data centers. Much rather, it opens up an opportunity for them, as companies will have to tap into the capabilities of the Cloud, data centers and field devices collectively to strike the right balance between innovation, efficiency and cost.

Authors

Ashok Kumar
Ashok Kumar
General Manager, Industrial Products

Related Blogs

Abhik Sengupta
Smartphone Age: The New Era of Human Evolution
07 Jun, 2018
Amit Kumar
Things Computing: Wait, What About the Cloud?
21 Feb, 2018
Amit Chadha
The Interconnected Fabric: That Ingredient to Raise Your Digital Quotient
24 May, 2017
Leave a Comment
About text formats

Comments

No Comments

×Explore
  • Industry
  • Spotlight
  • ×
  • Automotive
  • Consumer Electronics
  • Industrial Engineering
  • Lighting & Building Solutions
  • Media & Entertainment
  • Medical Devices
  • Oil & Gas
  • Plant Engineering
  • Power Electronics
  • Renewable Energy
  • Semiconductors
  • Industrial Products
  • Transportation
  • Telecommunications
  • 5G
  • Cloud engineering
  • Cyber security
  • Embedded systems
  • Industry 4.0
  • Smart Manufacturing
  • Smart Products
  • Sustainability
  • Artificial Intelligence
  • AR/VR
  • Image Processing
  • Connected Healthcare
  • Smart Factory
  • Digital Twins
  • Building Automation
  • Autonomous Transport
  • Robotics
  • Digital Entertainment
  • Machine Learning
  • UI/UX
  • Manufacturing Automation
  • Smart Sourcing
  • Simulation
  • Software Defined Networking
  • Telehealth
  • Wearables
  • Design Thinking
  • IoT Security
  • ER&D Hackathon 2019
  • Digital Media
  • The New Normal
  • Data Mesh
  • Media
  • parent-company-logo.png
  • Need Help
  • Contact Us
  •  

Contact Us

By clicking Submit, you agree to the Privacy Policy

  • Engineering the change
  • Industry
    • Transportation
    • Industrial Products
    • Plant Engineering
    • Semiconductors
    • Media & Entertainment
    • Consumer Electronics
    • Healthcare
    • Telecommunications
    • Oil & Gas
    • Software Products
  • Services
    • Products
      • CAE & CFD
      • CAx Automation
      • Cloud Engineering
      • DevOps
      • Embedded Systems
      • Engineering Analytics
      • Immersive Experiences
      • Integrated Design, Validation & Testing
      • Security Monitoring
      • Security Solutions
      • Security Services
      • Sustenance
      • Testing
      • Testing & Validation
      • User Experience
      • VLSI
      • Voice Innovations
      • Wearables Engineering
    • Manufacturing
      • PLM on Cloud
      • aspenONE on Cloud
      • Plant Design & Engineering
      • Digital Factory & Simulations
      • Line Expansion & Transfer
      • Frugal Product Design
      • Asset Care
      • Accelerated Operations
      • Manufacturing Automation
      • Agile Supply Chain
      • Content Engineering
    • Operations
      • Connected Service Support
      • Integrated Content Management
      • Intelligent Building Management
      • Sourcing & Procurement
    • Consultancy
      • Industry 4.0
      • Product Strategy
      • Security
      • Smart Factory
      • Sustainability
  • Solutions
    • i-BEMS
    • Connected Security
    • nBOn
    • UBIQWeise 2.0
    • ESM
    • AiKno™
    • Cogmation
    • Avertle®
    • ARC
    • Chest-rAi™
    • AiCE
  • Insights
    • Blogs
    • News
    • POV
    • eBooks
  • Explore LTTS
    • About Us
    • Nearshore Centers
    • Testimonials
    • Events & Webinars
    • News & Media
    • Board of Directors
    • CSR
    • Accolades
    • Alliances
    • Quality Management
    • Sustainability
  •  
  •  
  •  
  •  
  •  
^
  •  
  •  
  •  
  •  
  •  

© 2023 L&T Technology Services Limited. All Rights Reserved.

  • COPYRIGHT & TERMS
  • PRIVACY
  • Site Map
  • info@LTTS.com