Distributed-Cloud-Intelligence
Distributed-Cloud-Intelligence

Distributed Cloud Intelligence

A smart approach to host and orchestrate cloud-native applications among devices, edge and the cloud

List-of-functionalities

LIST OF FUNCTIONALITIES

  • Improving Quality of Service through reducing unnecessary bandwidth consumption
  • Enhancing Real-time Control application including immersive technologies and cloud robotics
  • Improving security measures and promoting better compliance
  • Reducing Network Latency and Network Backhaul
used-technologies

USED TECHNOLOGIES

  • Microservices Design and Orchestration
  • Virtualisation and Containerisation
  • Application Program Interface Gateways
  • Continuous Integration and Continuous Delivery Pipelines
  • Future Networking Technologies (including 5G and SD-WAN)
  • Hybrid Cloud Technologies
  • AI and Machine Learning for Intelligent Decision-making

LIST OF FUNCTIONALITIES
  • Improving Quality of Service through reducing unnecessary bandwidth consumption
  • Enhancing Real-time Control application including immersive technologies and cloud robotics
  • Improving security measures and promoting better compliance
  • Reducing Network Latency and Network Backhaul

USED TECHNOLOGIES
  • Microservices Design and Orchestration
  • Virtualisation and Containerisation
  • Application Program Interface Gateways
  • Continuous Integration and Continuous Delivery Pipelines
  • Future Networking Technologies (including 5G and SD-WAN)
  • Hybrid Cloud Technologies (if there are too many bullet points, we could remove this point)
  • AI and Machine Learning for Intelligent Decision-making (if there are too many bullet points, we could remove this point)

KONICA MINOLTA GLOBAL R&D SOLUTION

Distributed Cloud Intelligence (DCI) is an integral part of our cognitive services’ architecture, enabling it to orchestrate AI services and agents in-between devices, edge, and cloud layers. Through Distributed Cloud Intelligence solution, we can optimally orchestrate containers and Virtual machines of microservices-based (e.g., Kubernetes and Docker Swarm) or Virtual Machines (e.g., Kernel-based Virtual Machines) architectures on a cloud edge infrastructure. It benefits from factors including open software-defined networking, containerisation, AI & ML decision making, and 5G networking.

ALMOST REAL TIME COMPUTING, REDUCED ENERGY AND BANDWIDTH CONSUMPTION

With DCI we can reduce network latency, making computing processes happen close to real-time. DCI reduces Internet bandwidth consumption pre-processing, transferring and receiving insight from the data on the users’ premise using a number of edge devices, which minimises the need for transferring data to the cloud core. DCI also orchestrates the components and services on Edge, Cloud, and the device by managing their discoverability during runtime. It also dynamically places them according to the resource availability, and users’ business logic (e.g., minimising energy consumption), and performance requirements (e.g., the demand for GPU).

PROTECTING PRIVACY, IMPROVING SECURITY AND APPLICATION AVAILABILITY

The DCI solution enables applications to keep the data on premise, and guarantees that all data sent to the cloud is anonymised, hashed, and encrypted. In the case of a connection failure and cloud services immediately unavailable, DCI creates a cloud fabric for edge devices to answer communication requests during this Internet disruption.

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CLOUD EDGE: OPTIMAL ORCHESTRATION
OF INTELLIGENCE IN A
HYPERCONNECTED ERA

The Edge computing paradigm is a solution that changes the current cloud-centric design. As an alternative to processing all of the data in the cloud core, it advocates dedicated hardware and software technologies to relocate application elements to the edge of a network closer to users’ premises. Within the development of Konica Minolta’s Cognitive Hub, a platform of Artificial Intelligence (AI) services for the Workplace of the Future, our laboratories are devising an edge computing solution called LightEdge that will constitute the backbone of the system architecture.

Application-context

APPLICATIONS

  • AI platforms
  • Cloud Robotics
  • Smart Manufacturing Systems
  • Immersive Experiences, Smart City
more-info-about-the-solution

MORE INFO

APPLICATIONS
  • AI platforms
  • Cloud Robotics
  • Smart Manufacturing Systems
  • Immersive Experiences, Smart City

MORE INFO