FRAME

4th workshop on Flexible Resource and Application Management on the Edge

In association with ACM HPDC 2024 

Pisa, Italy 

June 3-7, 2024

A special issue of the Journal of Grid computing (Springer) related to FRAME 2024
is in preparation, the call is to appear shortly after the workshop.

We are proud to introduce the
4th workshop on Flexible Resource and Application Management on the Edge
to researchers, industry stakeholders, academics and PhD students.

Organized in association with

IMPORTANT DATES

26 February 2024 – Abstract Submission deadline (optional)
  4 March      2024 – Paper Submission deadline
25 March      2024 – Notification of acceptance (Papers)
14 April         2024 – Camera-ready version (Papers)

!Registration is open!

4 June 2024 – Workshop day for HPDC’24  (3-7/06/2024)

 

June 4th  — FRAME 2024 Program

(Aula Gerace, Department of Computer Science)

All times shown below are in CEST (GMT+2)

 

Introduction and Opening Session

09:00 –  10:00

Welcome presentation 

Keynote talk: Programming the digital continuum with COMPSs 

Rosa Maria Badia (Barcelona Supercomputing Center)

Session 1

Future Directions for Edge Computing

10:00 – 10:25

Urgent Edge Computing

(20′ Talk + 5′ Q&A)
Patrizio Dazzi (University of Pisa), Luca Ferrucci (Università di Pisa), Marco Danelutto (University of Pisa), Konstantinos Tserpes (Harokopio University of Athens), Antonios Makris (Harokopio University of Athens), Theodoros Theodoropoulos (Harokopio University of Athens), Jacopo Massa (National Research Council of Italy, Pisa), Emanuele Carlini (National Research Council of Italy, Pisa), Matteo Mordacchini (National Research Council of Italy, Pisa)

Coffee break
10:30 – 11:00

 

Session 2

Advances in Sustainable and Efficient Edge Computing

11:00 – 13:00

Towards Sustainable Deployment of Microservices over the Cloud-IoT Continuum, with FREEDA

(15′ Talk + 5′ Q&A)
Jacopo Soldani (Università di Pisa), Roberto Amadini (Università di Bologna), Antonio Brogi (Università di Pisa), Stefano Forti (Università di Pisa), Saverio Giallorenzo (Università di Bologna), Pierluigi Plebani (Politecnico di Milano), Monica Vitali (Politecnico di Milano), Gianluigi Zavattaro (Università di Bologna)
 

Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach

(20′ Talk + 5′ Q&A)
Antonios Makris (Harokopio University of Athens), Emmanouil Maragkoudakis (Harokopio University of Athens), Ioannis Kontopoulos (Harokopio University of Athens), Theodoros Theodoropoulos (Harokopio University of Athens), Ioannis Korontanis (Harokopio University of Athens), Emanuele Carlini (National Research Council of Italy, Pisa), Matteo Mordacchini (National Research Council of Italy, Pisa), Patrizio Dazzi (University of Pisa, Italy), Theodora Varvarigou (Harokopio University of Athens)

Towards Energy-Aware Execution and Offloading of Serverless Functions

(20 Talk + 5 Q&A)
Cecilia Calavaro (Tor Vergata University of Rome), Gabriele Russo Russo (Tor Vergata University of Rome), Martina Salvati (Tor Vergata University of Rome), Valeria Cardellini (Tor Vergata University of Rome), Francesco Lo Presti (Tor Vergata University of Rome)
 

Striking Trade-off Between High Performance and Energy Efficiency in an Edge Computing Application for Detecting Floating Plastic Debris

(20 Talk + 5 Q&A)
Marco Lapegna (University of Naples Federico II), Giuliano Laccetti (University of Naples Federico II), Raffaele Montella (University of Naples Parthenope), Diego Romano (Italian National Research Council)

Encoding Consistency: Optimizing Self-Driving Reliability With Real-Time Speed Data

(15 Talk + 5 Q&A)
William Fowler (Tufts University), Alicia Esquivel Morel (University of Missouri-Columbia), Kate Keahey (Argonne National Laboratory)

Lunch break
13:00 – 14:00

 

Session 3

Panel: Industrial Exploitation of Continuum Platforms

14:00 – 16:00

Industrial Exploitation of Continuum Platforms – experience and outcomes of the CHARITY project  for XR-AR enabling of the Continuum

Will be updated later

Coffee break
16:00 – 16:30

 

Session 4

Advancements in Smart Infrastructures

16:30 – 17:35

OUTFIT: Crowdsourced Data Feeding Noise Maps in Digital Twins

(20 Talk + 5 Q&A)
Elena Ascari (Institute for Chemical-Phisical Processes, CNR), Mauro Cerchiai (Institute for Chemical-Phisical Processes, CNR), Pasquale Gorrasi (Institute for Chemical-Phisical Processes, CNR), Antonella Longo (University of Salento), Gabriele Mencagli (University of Pisa), Francesca Miccoli (University of Salento), Marco Zappatore (University of Salento) 

Towards enabling observability of energy demand

(10 Talk + 5 Q&A)
Alessandro Bocci (University of Pisa), Antonio Brogi (University of Pisa), Gianpaolo Cugola (Politecnico di Milano), Stefano Forti (University of Pisa), Luca Mottola (Politecnico di Milano), Virginia Pilloni (University of Cagliari), Sabrina Romano (ENEA Italian National Agency for New Technologies), Jacopo Soldani (University of Pisa), Elio Usai (University of Cagliari)

Reactive Autoscaling of Kubernetes Nodes

(20 Talk + 5 Q&A)
Tarek Menouer (CGI France), Christophe Cérin (University Sorbonne Paris Nord), Patrice Darmon (CGI France)

Closing

Registration for the workshop will happen via the same HPDC registration process and web site.

Camera ready submission will be handled via hotcrp. Details and instructions from the publisher will be sent to the authors toward the end of the review phase.

FRAME 2024 : 4th Workshop on Flexible Resource and Application Management on the Edge
Affiliated with the
33nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HDPC) 2024

Cloud computing architectures and related paradigms are gaining an ever-increasing degree of popularity and interest both from the industrial and the scientific community. They allow customers to “outsource” the management of physical resources by renting a variable amount of resources according to their actual needs, in a pay-per-use fashion. Research and technological efforts in this field keep expanding with the emergence of Edge computing infrastructures, as new problems and exploitation opportunities surface. Cloud and Edge infrastructures can work together to fulfill requirements from a variety of applications, composing the so-called Cloud/Edge Continuum. Clouds must provide appropriate levels of performance to large groups of different users, whereas Edge resources act as a first layer of computing capacity that is close to the user, enabling reduced latency and increasing the exploitable portion of network bandwidth. Edge infrastructures typically belong to different administrative domains, are resource constrained with respect to central Clouds, and are composed of a very heterogeneous set of resources, introducing new challenges in the fields of security, orchestration, and resource management. From a business point of view, organizations can benefit from the distributed nature of Edge computing to deploy dedicated services on a context-driven, tenancy-driven or time-driven basis to serve certain areas. From a technological perspective, the scalability, interoperability, and efficient (de-)allocation of resources at the edge can enable a whole new set of scenarios. Interactive and time-sensitive services can be extended towards the edge, thereby closing the proximity gap with (potential) users. Data collection can happen within geographically/administratively bounded areas, ensuring compliance with data privacy and data retention policies. Real-time data-driven decisions can be promptly taken on the spot, without the need to wait for data to travel to the Cloud and back and allowing collaborative and interactive systems to perform live data processing fully exploiting the closest available devices.

The immersive data processing of Extended Reality (XR) applications such as VR, AR and Holography is a key example where dynamically shifting computation towards the network edges can also allow for a better computation to communication trade off, smoother connections and improved perceived QoE and collaboration. An even wider range of heterogeneous resources is nowadays available thanks to the integration of HPC-clusters and hardware-accelerated devices within Cloud platforms, leading to the scenario known as Hybrid Cloud HPC. The HC-HPC paradigm can aim at new tradeoffs in advanced system solutions by combining the computational prowess of HPC clusters, the dynamic management of virtually limitless resources of Cloud Computing, and the low-latency of Edge devices, overcoming the limitations of HPC systems designed for their peak performance and bringing cost savings as well as increased dynamic scalability and reliability.  

Improvement and innovation opportunities like these call for new solutions and theoretical frameworks. The 4th International Workshop on Flexible Resource and Application Management on the Edge (FRAME 2024) aims at bringing together cloud and edge computing experts from academia and industry to identify new challenges, discuss novel systems, methods and approaches for the management of resources in cloud-edge infrastructures, as well as to promote this vision toward academia and industry stakeholders.

This year besides regular, short, and work-in-progress papers we open an additional session dedicated to demos.

Originality of Submissions and Publication

Accepted papers will be published in the Conference Proceedings in the ACM digital Library. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or journal. Every submitted paper will be reviewed by at least three members of the Program Committee. Reviewing will be single blind. 

FRAME proceedings will be published by ACM in the HPDC proceedings companion book, as in previous years. The authors must be prepared to sign a copyright transfer statement. At least one author of each accepted paper/demo must register to the workshop by the early registration date (TBD), attend and present the work.

We are working to organise a Journal Special Issue on the Journal of Grid computing (Springer) dedicated to the topics of the workshop. Authors of selected papers will be invited to submit extended versions of their work. The SI call is to appear after the workshop.

Organizers

  • Massimo Coppola, ISTI-CNR, massimo.coppola@isti.cnr.it, General Chair
  • Hanna Kavalionak, ISTI-CNR, hanna.kavalionak@isti.cnr.it, Program Co-Chair
  • Luca Ferrucci, University of Pisa, luca.ferrucci@unipi.it, Program Co-Chair
  • Ioannis Kontopoulos, Harokopio University, kontopoulos@hua.gr, Program Co-Chair

Topics of interest for the workshop include but are not limited to the following ones:

  • Monitoring of Resources and Applications at the Edge
  • Efficient management of storage at the Edge
  • Efficient orchestration and Resources management for the Cloud/Edge continuum
  • Fault detection and prevention in the Cloud/Edge continuum
  • Adaptive management of Applications in the Cloud/Edge continuum
  • Application Models for the Cloud/Edge continuum
  • Lightweight virtualization tools and techniques for Edge devices
  • Novel Computing and Data Architectures for the Cloud/Edge Continuum and Federations
  • Edge OS approaches for hyper-distributed applications
  • ML/AI techniques and algorithms for Cloud/Edge orchestration
  • Distributed, decentralized and privacy-preserving ML/AI in the Continuum
  • Neural Network architectures for edge computing such as TinyML and compressed neural networks.
  • QoE/QoS modeling and assessment for the Cloud/Edge continuum
  • Distributed infrastructures, architectures, network protocols for ultra-low latency
  • Techniques and methods for streaming 3D and VR data in Continuum platforms
  • Next-gen applications in the Continuum like AR, VR and Holography
  • Workflows on highly heterogeneous and distributed platforms
  • Cybersecurity, privacy, rights and sensitive/strategic data management in the Cloud/Edge Continuum
  • Infrastructure as Code and automation in the Cloud/Edge Continuum
  • Hybrid Cloud HPC and integration of HPC and Continuum platforms

Authors are invited to submit papers of the following types and lengths, in the ACM Proceedings format style:

  • Regular papers (maximum 8 pages + 1 extra page) should present innovative works whose claims are supported by solid justifications.
  • Short papers (maximum 4 pages + 1 extra page) should target position papers.
  • Work-in-Progress (maximum 2 pages+1 extra page) should be new and promising approaches that still await full development and validation.
  • Demo presentation contributions (maximum 2 pages +1 extra page), see below.

Submissions will be received via HotCRP:         https://frame2024.hotcrp.com/

Please note that registering on the submission site with a title and meaningful abstract by the earliest deadline is required for enabling the actual paper submission. Full submission rules and updates will appear on the workshop website, specifically about camera-ready submissions to be sent to the proceedings editors for the ACM-DL publication.

Demo submissions

This year FRAME introduces as a new type of contribution, the “demos”. We call for demo-like presentations of prototypes, results of projects, and features of Continuum and HPC systems which are relevant to the workshop theme. Specific rules are applied to demos as we strive for quick, effective, and fast-paced presentations of systems that are related to the main workshop topics.

The demo review and selection will be made considering the relevance, novelty, and degree of maturity of the demoed system. Live demos are encouraged, but video and presentation based ones are accepted. A backup video is anyway mandatory for all demos on final submission. Submitting a draft video in the review phase is possible and advised. For demo submissions, the long-abstract paper in the review phase has to explain what will be the storyboard of the demo. The final demo paper and video will appear in the ACM Digital Library.

Each demo slot will consist of 15 minutes for the demo/video (at least 5 minutes) and the presentation (up to 10 minutes), plus 5 minutes for Q&A. Long-abstract like papers of the demos will appear in the proceedings, the demo video may also be submitted as accompanying media.

Additional Information

Detailed instructions will be posted here, but feel free to contact the organizers for any question or issue.

  • Upon submission, it is possible to specify a custom paper topic not in the official list of topics. Authors can thus raise attention to new topics they believe to be in scope with the FRAME workshop. 

Preliminary list of program committee members:

  • Iacopo Colonnelli, University of Torino
  • Jörn Altmann, Seoul National University 
  • Ferran Diego Andilla, Telefonica 
  • Lorenzo Blasi, HPE 
  • Emanuele Carlini, ISTI-CNR 
  • Patrizio Dazzi, University of Pisa 
  • Karim Djemame, University of Leeds
  • Maria Fazio, University of  Messina
  • Katsiaryna Labunets, University of Utrecht  
  • Antonis Makris, Harokopio University 
  • Andrea Michienzi, University of Pisa
  • Alberto Montresor, University of Trento 
  • Matteo Mordacchini, IIT-CNR 
  • Marcelo Pasin, University of Neuchâtel 
  • Raffaele Perego, ISTI-CNR 
  • Evangelos Psomakelis, ICCS-NTUA
  • Laura Ricci, University of Pisa 
  • Nishant Saurabh, University of Utrecht  
  • Domenico Talia, University of Calabria 
  • Alberto Terzi, HPE 
  • Konstantinos Tserpes, Harokopio University of Athens 
  • Massimo Torquati, University of Pisa 
  • José Luis Vázquez-Poletti, Universidad Complutense de Madrid
  • Massimo Villari, University of Messina 
  • John Violos, ICCS-NTUA 
  • Artsiom Yautsiukhin, IIT-CNR 

Organizing Committee

Massimo Coppola, ISTI-CNR, massimo.coppolaATisti.cnr.it, General Chair

Massimo is a researcher at the ISTI-CNR. He holds a PhD in Computer Science at the University of Pisa, where he was with the Parallel Architectures research group and where he still teaches Advanced Parallel Computing courses. His research interests revolve around parallel and distributed platforms and programming and their applications. They include Cloud computing and Federations, tools and performance models for structured parallel computing, as well as all aspects of exploiting large-scale heterogeneous parallel platforms, i.e., run-time support, deployment, and distributed management of parallel, self-adapting applications; Data Mining and ML for large data sets; FPGA- and GPU-based parallel computing. He was involved, as a proposer and participant, in several EU projects including lately H2020 EU projects Basmati, ACCORDION, TEACHING, and CHARITY. He was the CNR team leader and head of the Cloud Federation work package in FP7 Contrail, and (co)organizer of several past workshops and conferences, including the HPC-GECO – CompFrame and the FRAME series itself.

Hanna Kavalionak, ISTI-CNR, hanna.kavalionakATisti.cnr.it, Program Co-Chair

Hanna is a researcher at the ISTI-CNR. Previously, she has been a post-doc researcher at the University of Florence, at the Department of Mathematics and Informatics in the group “Resilient Computing Lab”. She is currently working in Cloud and Edge resource indexing and discovery in the context of the H2020 ACCORDION and CHARITY european research projects. She received her PhD from the University of Trento, with the thesis “Autonomous regulation of resources in cloud-based, peer-assisted distributed systems”. Her research interests include peer-to-peer networks, data analyses solutions for indoor localization, and modeling and dependability analyses of complex cyber-physical systems of systems, in which she has published several papers in international conferences and journals.

Ioannis Kontopoulos, Harokopio University, kontopoulosAThua.gr, Program Co-Chair

Ioannis received his BSc from the department of Informatics and Telematics of Harokopio University of Athens in 2016 and completed his PhD in 2022. His PhD revolved around machine learning techniques in spatio-temporal data, distributed and real-time processing. Currently, he is a Postdoctoral researcher at the same department. His major research interests revolve around Distributed Systems, Big Data analysis and processing, real-time stream processing, spatio-temporal and trajectory analysis, and machine learning. He has been involved in several EU and national funded projects including Datacron (H2020), MASTER (H2020-MSCA-RISE-2020), Smartship (H2020-MSCA-RISE-2020) and GLASSEAS (OP Human Resources Development, Education and Lifelong Learning).

Luca Ferrucci, University of Pisa, luca.ferrucciATunipi.it,  Program Co-Chair

Luca is a researcher at the Università di Pisa since October 2022, and has been a post-doc researcher at the ISTI-CNR in Pisa since 2014. His PhD thesis, from the Politecnico di Milano in 2013, was related to the field of integration of formal methods in the industry control code development process, by leveraging temporal logic based modelization, validation and verification tools and techniques. His interests and research range from eGovernment tools and interoperability issues between different international standards, to domotics interoperability frameworks. More recently, orchestration and resource management in Cloud and Edge cloud computing as a member of the H2020 ACCORDION and Charity european research projects. He is part of the CINI HPC Lab, participating in “Future HPC & Big data” of the Italian research center on High Performance Computing, Big Data and Quantum Computing (ICSC), his main research interests are scheduling and dynamic deploying of HPC system jobs for HPC-Continuum convergence, and Faas (Function-as-a- service) environment on the Continuum.