Posts Tagged ‘edge ecosystem’

Apps and Ecosystem Critical for 5G Edge Success

May 18, 2020

According to the gospel of IBM, Edge computing with 5G creates opportunities in every industry. It brings computation and data storage closer to where data is generated, enabling better data control, reduced costs, faster insights and actions, and continuous operations.

Edge computing IBM Cloud Architecture

By 2025, 75% of enterprise data will be processed more efficiently on devices at the edge, compared to only 10% today. It will eliminate the need to relay data acquired, and often used for decision making in the field back to a data center for processing and storage. 

In short, the combination of 5G and smart devices on the edge aids this growing flow of data and processing through the proliferation of a variety of clouds: private, public, multi, and hybrid. But more is needed.

To get things rolling, IBM announced a handful of applications and tools and an edge ecosystem. As IBM notes: organizations across industries can now fully realize the benefits of edge computing, including running AI and analytics at the edge to achieve insights closer to where the work is done and the results applied. These new solutions include:

  • IBM Edge Application Manager – an autonomous management tool to enable AI, analytics and IoT enterprise workloads to be deployed and remotely managed, delivering real-time analysis and insight at scale. It aims to enable the management of up to 10,000 edge nodes simultaneously by a single administrator. It is the first to be powered by Open Horizon, which is folded into the Linux Foundation. 
  • IBM Telco Network Cloud Manager – runs on Red Hat OpenShift and Red Hat Open Stack,  a cloud computing platform that virtualizes resources from industry-standard hardware, organizes them into clouds, and manages them to provide new services now and going forward as 5G adoption expands.
  • A portfolio of edge-enabled applications and services, including IBM Visual Insights, IBM Production Optimization, IBM Connected Manufacturing, IBM Asset Optimization, IBM Maximo Worker Insights and IBM Visual Inspector. All aim to deliver the flexibility to deploy AI and cognitive applications and services at the edge and at scale. 
  • Red Hat OpenShift, which manages containers with automated installation, upgrades, and lifecycle management throughout the container stack—the operating system, Kubernetes cluster services, and applications—on any cloud.
  • Dedicated IBM Services teams for edge computing and telco network clouds that draw on IBM’s expertise to deliver 5G and edge-enabled capabilities across all industries.

In addition, IBM is announcing the IBM Edge Ecosystem, through which an increasingly broad set of ISVs, GSIs and more will be helping enterprises capture the opportunities of edge computing with a variety of solutions built upon IBM’s technology. IBM is also creating the IBM Telco Network Cloud Ecosystem, bringing together a set of partners across the telecommunications industry that offer a breadth of network functionality that helps providers deploy their network cloud platforms. 

These open ecosystems of equipment manufacturers, networking and IT providers, and software providers include Cisco, Dell Technologies, Juniper Networks, Intel, NVIDIA, Samsung, Packet, Equinix Company, Hazelcast, Sysdig, Turbonomic, Portworx, Humio, Indra Minsait, Eurotech, Arrow Electronics, ADLINK, Acromove, Geniatech, SmartCone, CloudHedge, Altiostar, Metaswitch, F5 Networks, and ADVA as members. 

Making the promise of edge computing a reality requires an open ecosystem with diverse participants. It also requires open standards-based, cloud native solutions that can be deployed and autonomously managed at massive scale throughout the edge and can move data and applications seamlessly between private data centers, hybrid multiclouds, and the edge. IBM has already enlisted dozens of organizations in what it describes as its open edge ecosystem.  You can try to join the IBM ecosystem or start organizing your own.

DancingDinosaur is Alan Radding, a veteran information technology analyst, writer, and ghost-writer. Follow DancingDinosaur on Twitter, @mainframeblog, and see more of his work at http://technologywriter.com/


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