OASEES: Difference between revisions

Latest revision as of 12:03, 22 October 2025

OASEES edit edit source

Open Autonomous programmable cloud appS & smart EdgE Sensors edit edit source

Full project details (EU Research results portal): https://cordis.europa.eu/project/id/101092702

Project description: edit edit source

The massive increase in device connectivity and generated data has resulted in the proliferation of intelligent processing services to create insights and exploit data in a multi-modal manner. Currently, the most powerful data processing operates in a centralized manner at the cloud, which provides the ability to scale and allocate resources on demand and efficiently. Centralized processing and cloud hosting, bound and limit their services and applications to operate in a resource restricted manner, relying usually on large single entities to provide, i) Authentication, ii) Data storage, iii) Data processing, iv) Connectivity, v) Vendor-locked environments for development and orchestration. This significantly limits the user from its data governance and even identity management. Similarly, existing solutions for edge device authentication require a centralized entity to trust them and authenticate them, rendering a non-portable identification paradigm. OASEES aims to create an open, decentralized, intelligent, programmable edge framework for Swarm architectures and applications, leveraging the Decentralized Autonomous Organization (DAO) paradigm and integrating Human-in-the-Loop (HITL) processes for efficient decision making. The OASEES vision is to provide the open tools and secure environments for swarm programming and orchestration for numerous fields, in a completely decentralized manner. An important aspect in this process is identification and identity management, in which OASEES targets the implementation of a portable and privacy preserving ID federation system, for edge devices and services, with full compliance and compatibility to GAIA-X federation and IDSA trust directives and specifications. This situation solidifies the need for an integrated enabler framework tailored to the edge’s extreme data processing demands, using different edge accelerators, i.e. GPU, NPU, SNN and Quantum.

EuroVoc IDs: /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/computer hardware/quantum computers

EU Programme: Horizon Europe

EU Project

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 ==[[EU Project short name::OASEES]]==
-===[[EU Project full name::RISC-V for Cloud Services]]===
+===[[EU Project full name::Open Autonomous programmable cloud appS & smart EdgE Sensors]]===
-'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101092993]]
+'''Full project details (EU Research results portal):''' [[CORDIS URL::https://cordis.europa.eu/project/id/101092702]]
 === '''Project description:''' ===
-Building on top of outcomes from the EPI and EUPilot projects, RISER will develop the first all-European RISC-V cloud server infrastructure, significantly enhancing Europe's open strategic autonomy. RISER will leverage and validate open hardware high-speed interfaces combined with a fully-featured operating system environment and runtime system, enabling the integration of low-power components, including the RISC-V processor chips from EPI and EUPilot and LPDDR4 memories, in a novel energy-efficient cloud architecture.RISER brings together a set of 7 partners from industry and academia to jointly develop and validate open-source designs for standardized form-factor system platforms suitable for supporting cloud services. Specifically, RISER will build the following two cloud infrastructures:(1) An accelerator platform, which includes the ARM-based RHEA processor from EPI and a PCIe acceleration board that will be developed within the project which will integrate up-to four RISC-V based EPI and EUPilot chips.(2) A microserver platform, which interconnects up to ten microserver boards all developed by the project, each one supporting up to four RISC-V chips coupled with high-speed storage and networking. Embracing hyperconvergence, the microserver architecture will allow for distributed storage and memory to be used by any processor in the system with very low overhead.The open-source system board designs of RISER will also be accompanied by open-source low-level firmware and systems software, and a representative Linux-based software stack to support cloud services. To evaluate and demonstrate the capabilities of the RISER platforms we will develop three use cases: (a) Acceleration of compute workloads, (b) Networked object and key-value storage, and (c) Containerized execution as part of a provider-managed IaaS environment. RISER will offer open access to the microserver platform, facilitating uptake and enhancing the commercialization path of project results.
+The massive increase in device connectivity and generated data has resulted in the proliferation of intelligent processing services to create insights and exploit data in a multi-modal manner. Currently, the most powerful data processing operates in a centralized manner at the cloud, which provides the ability to scale and allocate resources on demand and efficiently. Centralized processing and cloud hosting, bound and limit their services and applications to operate in a resource restricted manner, relying usually on large single entities to provide, i) Authentication, ii) Data storage, iii) Data processing, iv) Connectivity, v) Vendor-locked environments for development and orchestration. This significantly limits the user from its data governance and even identity management. Similarly, existing solutions for edge device authentication require a centralized entity to trust them and authenticate them, rendering a non-portable identification paradigm. OASEES aims to create an open, decentralized, intelligent, programmable edge framework for Swarm architectures and applications, leveraging the Decentralized Autonomous Organization (DAO) paradigm and integrating Human-in-the-Loop (HITL) processes for efficient decision making. The OASEES vision is to provide the open tools and secure environments for swarm programming and orchestration for numerous fields, in a completely decentralized manner. An important aspect in this process is identification and identity management, in which OASEES targets the implementation of a portable and privacy preserving ID federation system, for edge devices and services, with full compliance and compatibility to GAIA-X federation and IDSA trust directives and specifications. This situation solidifies the need for an integrated enabler framework tailored to the edge’s extreme data processing demands, using different edge accelerators, i.e. GPU, NPU, SNN and Quantum.
-'''EuroVoc IDs:''' [[EuroVoc ID::/natural sciences/computer and information sciences/software]]
+'''EuroVoc IDs:''' [[EuroVoc ID::/engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/computer hardware/quantum computers]]
 '''EU Programme:'''
 [[Programme::Horizon Europe]]
+[[ItemType::EU Project]]