distributed cloud Archives | Ericsson Research Blog

Ericsson Research Blog

Research, insights and technology reflections

Scaling cloud platforms the P2P way

With the size of centralized cloud deployments continuing to increase and with distributed and edge cloud deployments becoming a reality, how can cloud management platforms scale regardless of infrastructure size and shape? Can performance levels be maintained as scale increases? Centralized and hierarchical approaches have historically dominated but distributed approaches based on peer-to-peer (P2P) technologies are highly relevant to bring into the conversation.

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Cloud 3.0: Making Cloud Easy

We envision Cloud 3.0 as a platform making it easy for developers to both deploy and develop directly in the datacenter and for datacenter managers to administer, for delivering services in compute clusters of all sizes – from large centralized datacenters to clusters of 3 to 5 machines in a radio base station. Such increased usability and scalability should encourage wider utilization of the cloud computing model. Our vision is for cloud computing to become an affordable, secure, and performant information technology utility that is ubiquitously available and can be successfully deployed to digitalize governments, industries, and society. We believe Cloud 3.0 will play a critical role in this vision.

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ARTEMIS – a parallel and distributed cloud simulation suite

Autonomous control systems can manage the placement of compound virtual services on distributed cloud infrastructure in a quick and efficient way, satisfying all constraints specified by service clients. Development and evaluation of realistic placement solutions requires a test environment that can match the massive scale of a distributed cloud. To support our own research in the field, we have developed Artemis – a parallel and distributed cloud simulation suite that can support massive-scale cloud computing scenarios involving millions of live entities and hundreds of thousands of events per second.

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Handling mixed workloads for data centers

Data centers play a significant role in a networked society, by providing cloud‐scale computing clusters. These can contain over 10,000 servers per cluster and run tens of thousands of services and applications to fulfill different user demands. The workloads of data centers are often mixed between short‐lived (e.g. in‐memory informational query search), medium‐lived (e.g. analytics batch jobs), and long‐lived service jobs (e.g. streaming, gaming and OS hosting services). An efficient cluster management system is critical for all performance aspects of a data center, and handling mixed workloads is a big challenge for existing solutions.

In Ericsson Research, we are developing a cluster management system for handling mixed workloads, which our preliminary evaluation results show to reduce job response time and improve scheduling throughput while considering security and being large scale and fault-tolerant .

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DevOps for Service Providers – next generation tools

Disruptive telecom concepts like NFV promise agility and high velocity of service innovation and deployment. These requirements call for a novel management paradigm beyond traditional telco workflows and processes. Together with our partners in the EU-FP7-funded UNIFY project, we tackle these challenges by taking inspiration from DevOps ideas widely applied at scale in data centers. Discuss with us our recently released SP-DevOps Toolkit, and how it helps showcase ideas that could usher a next generation of tools for telecom services in software-defined infrastructures.

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Unifying cloud and carrier networks

Service innovation and efficient use of resources are goals of Service Providers and Content Providers in the ICT space. Advances in cloud and networking technologies provide tools to achieve this. Combining cloud technologies and carrier networks in a common orchestration framework can create new levels of performance and innovation, and this has been the goal of the EU FP7-funded UNIFY-project led by Ericsson.

This blog post provides a deep-dive into the UNIFY solution for readers that are well-versed in the technologies of SDN, NFV and data centers. Learn about the BiS-BiS solution, applying the narrow-waist design principle, Infrastructure-as-a-Service (IaaS), how to fill the gap between SDN and the ETSI Management and Orchestration framework and diverse infrastructure domains.

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