- General Chair:
- Massimo Coppola,
- Program Chairs:
- Luca Ferrucci,
- Hanna Kavalionak,
- Publications Chair:
- Antonios Makris
It is our great pleasure to welcome you to the 1st Workshop on Flexible Resource and Application Management on the Edge - FRAME 2021, held in conjunction with the HPDC 2021 conference as an online event on June 25th, 2021.
The mission of the FRAME workshop is to bring together cloud and edge computing experts from academia and industry in order to identify new challenges for the management of resources in cloudedge infrastructures, as well as to promote the vision of a Continuum of resources including Edge and Cloud platforms among academia and industry stakeholders.
By merging into the so-called Cloud/Edge Continuum, Cloud and Edge infrastructures can work together to fulfill requirements from a variety of Next-generation applications. Edge resources can act as a first layer of computing capacity that is close to the user, exploiting proximity to reduce latency and increase the exploitable portion of network bandwidth. Conventional Cloud infrastructures provide higher levels of reliability and performance than Edge resources to large groups of different users, also acting as a computing-power capacitor for the Edge of the network.
From a technological perspective, by improving the features of scalability, interoperability, and efficient allocation of resources at the edge we can enable a whole new set of scenarios. Interactive and time-sensitive services can close the proximity gap with (potential) users by extending their services toward them. Real-time, data-driven decisions can promptly be made without waiting for data to travel to the Cloud and back.
Proceeding Downloads
Filling the Gap between Scientific Research on Artificial Intelligence and Industry 4.0 Need
AI improves the data acquisition and analysis typical of the 4.0 paradigm, leading to the optimization of the industrial processes through fast, lightweight and well-performing algorithms. The academic research efforts on AI have followed a trend of ...
Latency Preserving Self-optimizing Placement at the Edge
The Internet is experiencing a fast expansion at its edges. The wide availability of heterogeneous resources at the Edge is pivotal in the definition and extension of traditional Cloud solutions toward supporting the development of new applications. ...
Inter-operability and Orchestration in Heterogeneous Cloud/Edge Resources: The ACCORDION Vision
- Ioannis Korontanis,
- Konstantinos Tserpes,
- Maria Pateraki,
- Lorenzo Blasi,
- John Violos,
- Ferran Diego,
- Eduard Marin,
- Nicolas Kourtellis,
- Massimo Coppola,
- Emanuele Carlini,
- Zbyszek Ledwoń,
- Przemysław Tarkowski,
- Thomas Loven,
- Yago González Rozas,
- Mike Kentros,
- Michael Dodis,
- Patrizio Dazzi
This paper introduces the ACCORDION framework, a novel framework for the management of the cloud-edge continuum, targeting the support of NextGen applications with strong QoE requirements. The framework addresses the need for an ever expanding and ...
AI-Based Container Orchestration for Federated Cloud Environments
This paper proposes an architecture for artificial-intelligence-based container orchestration in cloud federation environments. The paper adapts the architecture proposed by Kurze et al. [1] and enhances it with two subcomponents in the federation layer ...
Towards a Federated Learning Approach for Privacy-aware Analysis of Semantically Enriched Mobility Data
Today, Artificial Intelligence is still facing a major challenge which is the fact of handling and strengthening data privacy. This challenge rises from the collected data which are associated with the fast development of mobile technologies, the huge ...
A Methodological Perspective on Lawful Internet Surveillance
In this paper we discuss research issues, practical matters and legal constraints driving the design and development of lawful tools and frameworks for a real-time, automated analysis of Internet traffic, supporting detection and recovery of hidden ...
An Osmotic Ecosystem for Data Streaming Applications in Smart Cities
- Emanuele Carlini,
- Lorenzo Carnevale,
- Massimo Coppola,
- Patrizio Dazzi,
- Gabriele Mencagli,
- Domenico Talia,
- Massimo Villari
Modern multi-tier Cloud-Edge-IoT computational platforms seamlessly map with the distributed and hierarchical nature of smart cities infrastructure. However, classical tools and methodologies to organise data as well as computational and network ...
Collaborative Visual Environments for Evidence Taking in Digital Justice: A Design Concept
- Ugo Erra,
- Nicola Capece,
- Nicola Lettieri,
- Ernesto Fabiani,
- Francesco Banterle,
- Paolo Cignoni,
- Patrizio Dazzi,
- Jacopo Aleotti,
- Riccardo Monica
In recent years, Spatial Computing (SC) has emerged as a novel paradigm thanks to the advancements in Extended Reality (XR), remote sensing, and artificial intelligence. Computers are nowadays more and more aware of physical environments (i.e. objects ...
Cloud and Data Federation in MobiDataLab
Today's innovative digital services dealing with the mobility of persons and goods produce huge amount of data. To propose advanced and efficient mobility services, the collection and aggregation of new sources of data from various producers are ...
Data Science Workflows for the Cloud/Edge Computing Continuum
Research infrastructures play a crucial role in the development of data science. In fact, the conjunction of data, infrastructures and analytical methods enable multidisciplinary scientists and innovators to extract knowledge and to make the knowledge ...