Call for papers – Extended deadlines

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

Due to multiple requests, we extended the registration and submission deadlines.


News: 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.

Key deadlines:
26 February, 2024 (extended from 12/02) Title and abstract submission
4 March, 2024 (extended from 19/02) Submission of regular papers, WIP papers, and demos
25 March, 2024 Notification of acceptance
14 April, 2024 Camera-ready paper submission
3-7 June, 2024 HPDC conference (workshops are June 3rd and 4th)


Website: https://www.accordion-project.eu/frame2024/

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

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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 HC-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.


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Topics of interest

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


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Submissions and attendance

Accepted papers will be published in the conference Proceedings and 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 a journal. Every submitted paper will be reviewed
by at least three members of the Program Committee. Reviewing will be single blind.
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. For full
submission rules please refer to the workshop website.

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 for review
is possible and advised. 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.

Detailed instructions will be posted on the workshop web site, but feel free to contact
the organizers for any question or issue.


Publication:

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.

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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

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Preliminary list of program committee members:
* 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
* Theodoros Theodoropoulos, 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, ICCS-NTUA
* José Luis Vázquez-Poletti, Universidad Complutense de Madrid
* Massimo Villari, University of Messina
* John Violos, ICCS-NTUA
* Artsiom Yautsiukhin, IIT-CNR