“A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications” Paper

The aerOS journal paper entitled “A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications” is now available!
In comparison with cloud computing, edge computing offers processing at locations closer to end devices and reduces the user experienced latency. The new recent paradigm of in-network computing employs programmable network elements to compute on the path and prior to traffic reaching the edge or cloud servers. It advances common edge/cloud server based computing through proposing line rate processing capabilities at closer locations to the end devices. This paper discusses use cases, enabler technologies and protocols for in-network computing. According to our study, considering programmable data plane as an enabler technology, potential in-network computing applications are in-network analytics, in-network caching, in-network security, and in-network coordination. There are also technology specific applications of in-network computing in the scopes of cloud computing, edge computing, 5G/6G, and NFV. In this survey, the state of the art, in the framework of the proposed categorization, is reviewed. Furthermore, comparisons are provided in terms of a set of proposed criteria which assess the methods from the aspects of methodology, main results, as well as application-specific criteria. Finally, we discuss lessons learned and highlight some potential research directions.
Find more information about the paper here: https://ieeexplore.ieee.org/document/9919270

EC AIOTI Webinar: Open Calls Opportunities

Ignacio Lacalle from Universitat Politècnica de València UPV presented aerOS Open Call upcoming opportunity in EC AIOTI Webinar: Open Calls Opportunities, 7 June 2023. You may find the video and the presentations here: https://aioti.eu/aioti-webinar-presenting-open-call-opportunities/

Cloud-Edge-IOT Skills Demands for Adoption workshop

During the Cloud-Edge-IOT Skills Demands for Adoption workshop, the key positions for the aerOS Port Continuum use case were identified, with the main purpose of recognizing the skills that are required to be developed in order to successfully complete the main project tasks. The skillset was focused on AI, IoT, Cloud, BI/Data Science and Cybersecurity and the result was a collection of new skills that should be acquired by the project team. Interestingly, this exercise even helped the project partners in identifying previously unknown knowledge gaps, which can be used to further prepare the Port Operator and other partners for the upcoming IoT and AI revolution.

Finally, during the last part of the workshop, key working positions were identified for the future industry adopters of the aerOS outcomes, which can further help guide the workforce and industry in developing the necessary Human Capital.

At this workshop the following presentations by aerOS project took place:

Session 1: Data driven cognitive production line Presenter: Pablo Patús Díaz, aerOS Project . Facilitator: Golboo Pourabdollahian

Session 3: Smart-edge services for the port continuum Presenter: Eduardo Garro Crevillen, aerOS project . Facilitator: J E Álvarez, Expert: Rudolf Susnik

Cloud-Edge-IoT Innovations in Manufacturing: Unveiling Market Insights and Use Cases Webinar

The “Cloud-Edge-IoT Innovations in Manufacturing: Unveiling Market Insights and Use Cases” webinar will take place on 10th of July! It is a co-organized webinar by aerOS and FluiDOS project with the support of EUCLOUDEDGEIoT.

The manufacturing industry has witnessed a remarkable transformation in recent years, driven by rapid technological advancements. From automation to artificial intelligence, emerging trends are reshaping how factories operate and revolutionising traditional manufacturing processes. One of the key drivers of this transformation is the convergence of cloud computing, edge computing, and the Internet of Things (IoT) into a seamless continuum. The CEI continuum offers unprecedented opportunities for manufacturers to optimise operations, enhance productivity, and unlock new levels of efficiency.

This UNLOCK CEI webinar, part of the EUCloudEdgeIoT.eu initiative, aims at providing in-depth market and industry insights for the manufacturing sector, with a specific focus on cloud-edge-IoT use cases.

The event will provide valuable information and knowledge to navigate the evolving manufacturing landscape and unlock the true potential of the Cloud-Edge-IoT continuum in this sector.

This webinar is co-organised with Meta Operating Systems projects of the EUCEI Community.

Find out more here: https://eucloudedgeiot.eu/cloud-edge-iot-innovations-in-manufacturing-unveiling-market-insights-and-use-cases/

A Novel Combinatorial Multi-Armed Bandit Game to Identify Online the Changing top-K Flows in Software-Defined Networks – Paper

Identifying the top-K flows that require much more bandwidth resources in a large-scale Software-Defined Network (SDN) is essential for many network management tasks, such as load balancing, anomaly detection, and traffic engineering. However, identifying such top-K flows is not trivial, not only because of the fluctuations in flow bandwidth requirements but also because of the combinatorial explosion of problem instance sizes. In this paper, we weaken the tradeoff between exploration and exploitation and innovatively define the online top-K flows identification problem as identifying the top-K arms in a Combinatorial Multi-Armed Bandit (CMAB) model. Then, we propose a general greedy selection mechanism with some identification strategies that focus on temporal variations in the rewards. Extensive simulation experiments based on real traffic data are conducted to evaluate the performance of different strategies. In addition, the results of numerical simulations demonstrate that our proposed greedy selection mechanism significantly outperforms existing counterparts on top-K arms identification.

Find the paper online here: http://mosaic-lab.org/uploads/papers/6fa449ad-7848-4db5-889f-f81f790b516d.pdf