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Deep Dive into Edge/IoT Architectures

This is a part of our webinar series on Edge Computing. To learn more about our previous sessions, explore our library of webinar recordings

Impact & Opportunities

IoT as a technology has had a significant impact on all forms of smart products and business processes across industries, including retail, manufacturing & logistics, automobile, agriculture, hospitality & transportation, energy & utilities, healthcare, and more.

The global IoT market was worth over $690 billion in 2019, and is expected to surpass $1.2 trillion at a CAGR of 10.53% between 2020 and 2025.

Installation of IoT connected devices through worldwide.
IoT connected devices installed base worldwide

2015
15.41Bn
2020
30.37Bn
2025
75.44Bn

(expected)

The large-scale deployment of IoT-enabled products and devices has resulted in a growing need for computing power at the edge that can cater to the colossal amounts of data generated by these devices. This, in turn, has given rise to new services, platforms, and solutions that are driven by four key elements:

  • Computing Models
  • Data Processing Architectures
  • Connectivity Requirements
  • Solution Development Models

Whether you are an existing IoT user or exploring the ways IoT and edge computing can help transform your business, determining the best suited approach to business maturity level is crucial for an effective and accelerated implementation.

The State of Edge Computing Today

Computing Models
All major cloud service providers are emerging as the leaders in the edge computing space with offerings such as AWS Greengrass (Amazon), Azure IoT (Microsoft), and Cloud IoT Edge (Google). In the edge hardware space, the biggest launches include HPE’s edge computing device Edgeline Converged Edge Systems, NVIDIA’s computing platform Jetson TX2, and Dell’s Edge Gateways.
Networking & Connectivity
The combination of edge computing with 5G technology gives rise to opportunities that can significantly augment digital experiences, boost performance, and support data security. Enterprises around the world are investing in 5G technology to leverage newer kinds of networking capabilities for advanced enterprise assets at reduced dependencies.
Data Processing Architectures
Innovation in AI/ML space and related applications has surged with the rise in edge computing adoption. By bringing the processing units closer to the data source, edge computing architectures are enabling enterprises to leverage real-time data processing to get faster access to meaningful insights; while also ensuring reduced backhaul costs, improved automation efficiency, and optimal equipment utilization.
Solution Development Models
All of these new systems and architectures need a supporting ecosystem of services, products and solutions too. This has opened up a need for newer solution development models for software, hardware, and connectivity infrastructures.

With the emergence of 5G, service providers and enterprises are preparing for a new generation of dynamic, customized, and profitable business services.

These elements have given rise to distinct architectures depending upon the nature of the industry and use case.

Architectures and Landscape models of Edge computing

Adopting Edge/IoT Computing Service for Your Enterprise

Edge computing has the power to generate significant competitive advantages for its early adopters across industries. That said, there are several factors to be considered before stepping into the game. The following decision matrix lays out the factors you should assess and analyze to determine the kind of edge architecture and adoption approach that would work best for the unique needs of your business:

Latency

Latency

Location

Location

Analysis

Analysis

Dashboard

Dashboard

Device Monitoring

Device Monitoring

Deployment

Deployment

Security

Security

Compliance

Compliance

On/Offline Support

On/Offline Support

Data Management

Data Management

Remote Management

Remote Management

ACS Solutions can work with you to determine the suitable architecture for your enterprise based on these parameters and incubate the same within our Edge Center.

Why ACS Solutions

With 20+ years of IT consulting experience, ACS Solutions has helped mid-market to Fortune 1000 organizations plan and execute their cloud strategy to meet current and future needs.

Partnerships

ACS Edge Lab - Partnerships -ACS Solutions

Beta Partners with Cloud platform providers around their Edge offerings (AWS Wavelength, Azure Edge Zones)

Repository and Quickstarts for rapid Edge emulation, development and deployment on 5G/4G LTE networks

ACS EdgeLab (5G) setup

ACS Edge Lab being setup in Atlanta – leveraging 5G/MEC services by Verizon/AT&T

Pro-certified Architects - ACS Solutions

Deep pool of Pro-certified Architects, Specialists across Native cloud, Networking, IoT, Data/AI/ML, XOps

Core multi-skilled team trained on Edge/IoT services across AWS/Azure

IOT Hub - ACS Soltuions
IoT experience
  • Remote Firmware updates, monitoring, and management for 100,000+ Condor devices across three geographies using Azure IoT Hub
  • Energy monitoring and operations optimization platform at Bax Energy for 6000+ renewable power plant locations, integrated to 5m+ devices and streaming . Built using Azure IoT Hub and other Azure services.

ACS Edge Lab

Edge Lab

ACS Solutions has established an Edge Lab in Atlanta GA, where we have developed an ecosystem of technology assets and talent in the field of Edge Computing. The goal is to work with customers and accelerate their adoption of edge computing services tailored to specific use cases across industries.

Areas our Edge lab is focused on at present are:

Multi-platform environment, leveraging partnerships with AWS, Azure and GCP, combined with device offerings from NVIDIA, Intel, and others.

Pre-built components and quickstarts that can rapidly enable integration of IoT products and solutions with 5G/Edge services.

Emulations for different Edge computing architectures and patterns – onsite, local, private networks, carrier-driven – within ACS Edge Sandbox environment.

Areas our Edge lab is focused on at present are:

Multi-platform environment, leveraging partnerships with AWS, Azure and GCP, combined with device offerings from NVIDIA, Intel, and others.

Pre-built components and quickstarts that can rapidly enable integration of IoT products and solutions with 5G/Edge services.

Emulations for different Edge computing architectures and patterns – onsite, local, private networks, carrier-driven – within ACS Edge Sandbox environment.

Speakers
Gary Palmersheim

Gary Palmersheim

Sr. Director, Cloud and Infrastructure Practice

Armando Aleman

Armando Aleman

Network/Infrastructure Architect

Supriya Jadhav

Supriya Jadhav

Data Scientist

Get in touch with us for feasibility studies, joint workshops, pilots and ideation sessions.













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