Automatically distribute your workloads across the edge-to-cloud continuum

Model-driven optimization for edge computing and its networking

Acheive required latency and performance at lowest possible cost

Support the entire life-cycle of your edge cloud computing services

Analyze the business case for investing in edge computing by optimizing the return on investment
Planning your edge compute network to make sure wanted characteristics such as latency are met
Enable scalable business through automating service delivery across your edge-to-cloud continuum
Make sure edge service delivery is assured automatically in case of failures

Edge Compute Optimization (ECO)

Arctos Labs provides a dynamic workload placement optimization solution (ECO) that determines the most optimal distribution of application components across an edge-to-central cloud continuum.  The solution is capable to consider a variety of application constraints, such as latency and jitter.

ECO is delivered as a SW component that is easy to integrate into customers orchestration solutions thereby providing unique features for optimization and support for edge compute scenarios.

ECO provides the following key features:

    • Multi-cluster capable
    • Cost optimization (among other optimization criterias)
    • Declarative approach
    • Service chain across cloud to edge continuum
    • Placement with resource-awareness considering compute & data transport
    • Scaling and clustering across geography
    • Constraints across entire service topology
    • GitOps compatible
    • Holistic multi-service optimization to avoid fragmentation

Discover our edge cloud placement optimization technology

ECO used in joint KonicaMinolta &
Arctos Labs demo

As part of the research project ANIARA, the companies have jointly developed a Hybrid IT demo, that automates the deployment of IT applications across private and public clouds. The demo is also capable of dealing with disaster recovery situations dynamically.

Arctos Labs Placement Optimization integrated into OSM

An open source version of Arctos Labs Edge Cloud Placement Optimization technology is included as an integral part from release eight of the Open source MANO project. Our technology enables optimization on how virtual network functions are distributed across multiple locations, taking compute and link attributes into account to achieve latency constraints at lowest possible cost.

Creative Telecom Concept

Emerging technologies

Our broad knowledge and experience from working hands-on with the latest technologies bring our clients to the forefront of technical development. Our experience also makes us suitable to judge which of the latest trends that has the potential to bring value to your business in the near term.

Creative Telecom Concept

Creativity & Experience

Our broad knowledge and experience from working hands-on with Cloud, software defined networking, edge compute & 5G makes us suitbale to help clients navigating the increasingly complex tech landscape.

Creative Telecom Concept


Theoretical knowledge alone will not solve your challenges. The craftsmanship of an excellent engineer is always needed. This element results in selecting the appropriate methods and approaches to find the way forward and reach the targets.

The team of Arctos Labs has extensive experience from developing some of the most successful network products on the telecom market today. Our team members have been lead architects of overall systems and product architectures, as well as being instrumental in project, product and business management for the leading telecom vendors. We are currently engaged in a variety of telco cloud transformation activities including operators.