Hybrid Cloud Computing
Improved IT experiences with applications closer to users
Relocating elements of an application to the edge of a network is a key Service Delivery vehicle for systems and applications. This paradigm shift is possible as more robust computing machines on the edge of a network become more viable due to the decreasing cost of hardware. Adopting this paradigm means we can build distributed scalable solutions that host applications on any of the existing public and on-premise platforms. As the volume of data generated by local machines and sensors is increasing exponentially, processing the data on-premise is more affordable, reliable and secure.
Our focus is on boundless computing, which means we’re committed to a single orchestration platform that blurs the boundaries between CPUs, servers, data and data centres and supports the delivery of resources wherever they are required. This aims to increase security and application availability by leveraging current Konica Minolta solutions and future digital services on the edge and in cloud layers.
- Real-time and low latency computing capabilities for machine learning applications
- Improving the energy performance of Internet of Things devices, robotics and machine automation services through task offloading
- Maintaining the data on-premise and guaranteeing anonymisation, hashing, and encryption of data sent to the cloud
- Containerisation, planning, deployment, monitoring and management of Cloud Native applications
CONNECTING PEOPLE SPACES AND TECHNOLOGIES IN HYBRID WORKPLACES WITH DCI
Distributed Cloud Intelligence (DCI) is a 5G-enabled solution developed by Konica Minolta Digital Services R&D. We exploit Artificial Intelligence to distribute the computing amongst the edge and the cloud to connect people, spaces and technologies in the new hybrid workplace. In the contexts of the digital industry, Smart Cities, digital Workplaces, transportation and logistics, DCI is the brain that is capable of orchestrating Digital services.
DISTRIBUTED CLOUD INTELLIGENCE
Distributed Cloud Intelligence orchestrates 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, in an SDN-enabled Cloud-edge Environment.
PUSHING IT INFRASTRUCTURE
TO THE EDGE
As new cloud computing trends and working practices emerged during the COVID-19 pandemic, the benefits derived from the adoption of hybrid cloud solutions are more evident than ever before. However, as demand increases, it also raises challenges for bandwidth, latency and near real-time analytics. Edge technology, as a complementary evolution of cloud computing, can help alleviate these barriers. This whitepaper presents Distributed Cloud Intelligence (DCI), a 5G-enabled solution that offers customers new ways of deploying and managing their workloads within multi and hybrid cloud environments.
CLOUD EDGE: OPTIMAL ORCHESTRATION
OF INTELLIGENCE IN A
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 Konica Minolta’s Digital Services development, DCI will support Future Network Technologies (5G, 6G…) – Cognitive Network deployed and operated with minimum human intervention, using trustworthy AI technologies.