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Edge Computing Solution

ManEDGE the future with unique edge computing solutions

Edge Computing Solution

Edge is a buzzword. Like ‘IoT’ and ‘Cloud’ before it, Edge means everything and nothing. The advent of edge computing as a buzzword is the realization that there isn’t much growth left in the cloud space. Almost everything that can be centralized has been centralized. Most of the new opportunities for the ‘cloud’ lie at the ‘edge’. An edge computing solution is deployed at or near the source of the data, instead of relying on the cloud at one of a dozen data centers to do all the work.

For many mobile edge computing solution provider companies, the cost savings alone acts as a key driver towards deploying an edge-computing architecture. Companies that embraced the cloud for many of their applications have already discovered that the costs in bandwidth are much higher than they expected. At its basic level, edge to cloud solutions bring computation and data storage closer to the devices where it is being gathered, rather than relying on a central location that can be thousands of miles away. By doing so, real-time data does not suffer latency issues that would impact the application’s performance. In addition, companies also save a lot of money by having the processing done locally by reducing the amount of data that needs to be processed in a centralized or cloud-based location, by using an edge computing solution. Even though the initial goal of edge computing platform was to reduce bandwidth costs over long distances for IoT devices, it is expected that this technology will be driven by the advent and growth of real-time applications that require local processing and storage capabilities.

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ManEdge Your Future with PraEdge – Our Edge Computing Platform

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Key Use Cases of Edge Computing

Condition Based Monitoring

Predictive Maintenance

Asset Performance Management

Industial Process Optimization

Edge Computing Accelerator: PraEdge

Pratiti is one of the leading edge cloud providers which has developed its own edge computing platform – PraEdge, for building IoT Apps on Edge to enable industrial device connectivity with a simple drag and drop interface, application deployment, and secure access to remotely located gateways.

PraEdge – Modules and Components

Device Managemen
Device Management

Device Management Module

  • Adding, Removing and updating devices
  • Measurement parameters management
  • Device configuration & control

Device Management Component

Features

  • Device Onboarding
  • OTA via secured TLS connections with devices*
  • Remote Control *
  • Admin console via web Ul Features
Data Acquisition
Data Acquisition

Data Acquisition Module

  • Protocol support for MDBUS, OPC UA
  • Data storage with time series DB
  • Data aggregation

Data Acquisition Component

Multiple data source

  • MODBUS over TCP
  • OPC UA
  • MQTT JAVA based Microservice
  • Configuration via JSON based input
  • Data Storage: Timescale DB as time series DB
Analytics
Analytics

Analytics Module

  • KPI processing
  • Events processing Integrations

Analytics Component

Features

  • Aggregation
  • Alerting Based on native Java processing
    Integration with Kafka (based on analytics requirement)
Business Modeller
Business Modeller

Business Modeller Module

  • Business object modeling
  • Site configurator
  • User access management

Application Framework Component

  • User-defined dashboards
  • User-configurable widgets
  • Drag & drop parameters visualization
Dashboard Builder
Dashboard Builder

Dashboard Builder Module

  • User-defined dashboards
  • User-configurable widgets
  • Drag & drop parameters visualization

Dashboard Builder Component

  • Angular 7 based self-serviced dashboards
  • User selection of graphical widgets
  • REST end points configuration via web UI
Cloud Connectivity
Cloud Connectivity

Cloud Connectivity Module

  • Data adapters for Cloud systems
  • Readily available adapter for Siemens MindSphere

Cloud Connectivity Component

  • JAVA based KPI engine
  • Integration is available with Kafka and WSO2 for event processing. Native JAVA event processing available.
Key features Of PraEdge

Key features Of PraEdge

  • It is an IoT services for building IoT Apps on the Edge.
  • It is meant for collecting data from various industrial systems, aggregate it, analyse it and connectivity to cloud systems.
  • Industrial systems include Sensors, PLCs, Industrial Controllers, SCADA systems or Historians
  • It is meant for on-premises of Industrial Plants Discrete Manufacturing, Process Manufacturing, Power Generation, Water Distribution, Sewage Treatment etc.
  • It is meant for various IoT apps requirements ranging from data acquisition services for cloud apps to building full-fledged apps to run within plant firewalls.
  • It is deployable on Industrial PCs or Windows Servers or Linux Servers.
  • Benefits of PraEdge include maximum privacy & security, enables proactive use cases, lowers bandwidth & latency issues, reduces hosting costs and triggers real-time insights.

Our Other Edge Apps

What makes Pratiti one of the leading edge computing service providers?

Cloud Computinng2 IcnMultiple domain and business cases understanding
Cloud Computinng2 IcnExpertise in hardware and software (immersive technologies & application development)
Cloud Computinng2 IcnExpertise in IoT, Data Science, Digital Twin, AI & ML
Cloud Computinng IcnIoT experience enablement through mobile apps and AR/VR
Cloud ComputingProprietary digital accelerators in the form of Analytics360, MFGSuite & Anuva

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Frequently Asked Questions

What is Edge Computing and How Does it Work?

Edge Computing is the practice of bringing data computation and storage closer to the sources of data, instead of something like on cloud. This is meant to save bandwidth and improve response time. It can be any kind of computer program that delivers low latency nearer to requests.

In Which Situation Would an Edge Computing Solution be Used?

Edge computing solution or edge computing platform can be used when response time for data computations is a major consideration. An example use case would be when healthcare professionals need to deliver remote care where internet connectivity might not be great.

How Does IoT Relate to Edge Computing?

Data is collected and processed on an edge device. When an object has enough storage and computational power to make low-latency decisions and analyze data in milliseconds, it can be considered part of the Internet of Things. IoT device and edge device are phrases that are occasionally used interchangeably.

Is Edge Computing More Secure?

Since data is filtered at the source instead of rather than sending it to a central data center, Edge Computing can be more secure. However, there are other considerations that depend on you, like how you set up security on your Edge devices (for e.g.: 2-factor authentication for device access.)

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