ICOS
Second ICOS Newsletter
19.03.24
We are excited to share our second Newsletter with the results of our first Open Call!
Fifth Face-to-Face meeting
29.01.24
The fifth ICOS F2F meeting will be hosted by Engineering in Engineering Ingegneria Informatica S.p.A. in Rome from on the January 30th to February 1st 2024.
The continuum
The unstoppable proliferation of novel computing and sensing device technologies, and the ever-growing demand for data-intensive applications in the edge and cloud, are driving the next wave of transformation in computing systems architecture. The resulting paradigm shift in computing is centered around dynamic, intelligent and yet seamless interconnection of IoT, edge and cloud resources in one computing system, to form a continuum.
A continuum, today also referred to as cloud continuum, IoT continuum, edge-to-cloud or fog-to- cloud, is expected to provide the means for data processing both in the edge and cloud, while inferring and persisting important information for post-mortem and offline analysis. We envision a holistic approach towards the solutioning of this technology trend in future systems, by architecting, designing and implementing the continuum as extensible, open, secure, adaptable, AI-powered as well as well highly performant and technology agnostic, managed through a meta OS, i.e., IoT2Cloud Operating System (ICOS).
IoT to Cloud Operating System
The ICOS project aims at covering the set of challenges coming up when addressing this continuum paradigm, proposing an approach embedding a well-defined set of functionalities, ending up in the definition of an IoT2cloud Operating System (ICOS). Indeed, the main objective of the project ICOS is to design, develop and validate a meta operating system for a continuum, by addressing the challenges of: i) devices volatility and heterogeneity, continuum infrastructure virtualization and diverse network connectivity; ii) optimized and scalable service execution and performance, as well as resources consumptions, including power consumption; iii) guaranteed trust, security and privacy, and; iv) reduction of integration costs and effective mitigation of cloud provider lock-in effects, in a data-driven system built upon the principles of openness, adaptability, data sharing and a future edge market scenario for services and data.
In-car Advanced Infotainment and Multimedia Management system (IAIMM)
The In-car Advanced Infotainment and Multimedia Management system (IAIMM) use case focuses on the main target to optimize the distribution of multimedia content so that highquality reception can be achieved even in low- connectivity situations while avoiding service interruptions. The service provides and enriches multimedia functionalities for planning, enjoying trips and visiting touristic sites. Its deployment architecture includes edge nodes to host rendering and preprocessing and more powerful cloud nodes.
Agriculture Operational Robotic Platform (AORP)
The Agriculture Operational Robotic Platform (AORP) use case optimizes farming with agro robots (Agbots). The use of Agbots for precision agriculture allows the development of processes on farms reducing operating costs, improves awareness of technology potential impact, digital competences, improves effective use of resources as well as reduces the amount of used plant protection products. To achieve these benefits, it is necessary to further develop digital and robotic systems based on data exchange ecosystems and services based on their semantic processing to provide knowledge and tools that will increase efficiency, ensure safety, and confirm product quality in the supply chain, while reducing costs and providing valuable information to farmers.
Railway Structural Alert Monitoring system (RSAM)
The Railway Structural Alert Monitoring system (RSAM) improves the railway monitoring process. Today the monitoring process is done by a special train, which can measure several key parameters of the railway system. However, this measurement is only taken every few months; in the remaining months, nobody knows what happens. The use of digital technology, such as IoT, aims to minimize the monitoring and maintenance costs by gaining knowledge of the status of key aspects of the railway infrastructure in real-time: rail tracks levelling, tensions and slope, surrounding areas settlements and falling elements, catenaries maintenance, cyber processes monitoring, etc.
Energy Management and Decision Support system (EMDS)
The Energy Management and Decision Support system (EMDS) use case focusses on the energy consumption in smart homes. Already consumers are investing in smart devices and energy storage to better manage their electricity consumption. Green energy is enabling the transition to smart homes through active participation in, and support of, ESBN’s SMART meter programme and the installation of solar PV, solar thermal, smart heating controllers and EV chargers through Airtricity Energy Services. The planned enablement of domestic services to support the distribution network will further drive uptake in smart, controllable domestic devices which can leverage payments for flexible energy usage.
