Next Generation Cloud

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Ana Maria Juan Ferrer
Contributing to Atos innovation strategy with Cloud and Edge Computing
Mission: 

The Next Generation Cloud Lab goal is to contribute to Atos strategy with regards to Cloud computing and its novel forms such as Edge and Swarm computing, for the development of new models and architectures that embrace resources increasingly available everywhere.  

Vision: 

Computing is today pervasive in all aspects of our life.  In the longer term, computing will not be constricted to specific devices but will be virtually embedded and pervasive to everything, enabling an unprecedented computing continuum. 

The capacity, size, and energy harvesting limitations of these devices will require novel computing and communication architectures beyond Edge and Cloud computing developments today embracing hardware heterogeneity and hyper-distribution of computing.

Values: 

The Next Generation Lab research encompasses topics as decentralization and over distribution of computing over Edge, Multi-Cloud and Hybrid Cloud environments; Edge and Fog workload Management and Across Edge execution orchestration; interoperability, standardization and heterogeneity exploitation; Edge Service Management; and novel areas of Application for Computing Continuum such as eco-systems of cyber-physical devices, edge, fog and cloud environments, each adding to the collective capability and insight.

Projects

AGILE

Adaptive gateways for diverse multiple environments
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H2020

Modular hardware and software gateway for IoT with support for protocol interoperability, device and data management, apps execution, and external Cloud communication.

BASMATI

Cloud brokerage across borders for mobile users and applications
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H2020

Development of an integrated Brokerage Platform targeting federated clouds in order to support dynamic needs of mobile applications and users.

H2020

Offers a complete high-performant stack of technologies addressing the emerging needs of data operations and applications.

H2020

Efficient distribution of big-data workloads along the compute continuum (from edge to cloud) while providing sound real-time guarantees on end-to-end data analytics responses

CloudSocket

Business and IT-Cloud Alignment using a Smart Socket
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H2020

Introduction of the BPaaS concept thanks to smart alignment techniques, packages BPaaS as “extended Cloudlets” autonomously deployable and including adaptive rules to appropriately react in a multi-cloud environment.

H2020

Aims to deliver a robust Fog Computing Platform, covering the whole Cloud-to-Things continuum, that will provide application-aware orchestration and provisioning of resources, driven by methods of Artificial Intelligence. The underlying infrastructure will span across borders into a federation and will utilize Blockchain and Smart Contracts.

DITAS

Data-intensive applications improvement by moving data and computation in mixed cloud/fog environments
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H2020

Propose a framework, composed by an SDK and an execution environment to overcome the barriers that hamper the adoption of Cloud Computing and increase the adoption of Fog computing by exploiting the full potential of these two paradigms. 

Elastest

An elastic platform to ease end to end testing
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H2020

Tool for helping developers to test and validate complex distributed systems, based on three principles: test orchestration, instrumentation and monitoring, and test recommendation.

I-BiDaaS

Industrial-Driven Big Data as a Self-Service Solution
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H2020

Aims to empower IT and non-IT big data experts to easily utilize and interact with big data technologies. The project proposes a unified solution that significantly increases the speed of data analysis and facilitates cross-domain data-flow towards a thriving data-driven EU economy

INDIGO-DataCloud

Integrating distributed data infrastructures for global exploitation
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H2020

Development of an innovative cloud platform for the scientific community based on open source software and providing access without restrictions to a diversity of e-Infrastructures.

mF2C

Towards an open, secure, decentralized and coordinated Fog-to-Cloud management ecosystem
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H2020

Design an open, secure, decentralized, multi-stakeholder management framework, with novel programming models, privacy and security, data storage, service creation, brokerage solutions, SLA policies, and resource orchestration methods.

RAPID

Heterogeneous secure multilevel remote acceleration service for low-power integrated systems and devices
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H2020

Development of an efficient heterogeneous cloud computing infrastructure, which can be used to seamlessly offload CPU-based and GPU-based tasks of applications running on low-power as well as more powerful devices over a heterogeneous network.

symbIoTe

Symbiosis of smart objects across IoT environments
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H2020

Fostering a simplified IoT application and service development process over interworking IoT platforms.

TANGO

Transparent heterogeneous hardware architecture deployment for energy gain in operation
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H2020

Control of underlying heterogeneous hardware architectures, configurations and software systems while providing tools to optimize various dimensions of software design and operations.