Call For Papers

The wide adoption of Cloud Computing architectures for distributed computing, big-data solutions, Service-Oriented Architectures (SOA) and the availability of highly scalable and resilient core hardware, have enabled developers and consumers to access a wide range of services and computational resources through a pay-per-use model.

Additionally, the ever-increasing demand is forcing vendors to provide a higher level of assurance for their services and optimize the allocation of their resources to efficiently meet the web-scale demand of today's computing landscape.

As a consequence, computing, management, and provisioning models must evolve to address the increasing complexity in today's distributed data centers. New unified computing theories and implementations are needed to address the resilience, security and efficiency of global web-scale services.

Different major problems arise with the current generation of virtualization technologies and the distributed environment where multiple owners provide a heterogeneous and rapidly evolving infrastructure. Furthermore, the increasing concerns on privacy and security of data lead to the definition of special regulations (as the GDPR) to protect end-users. As a result, the existing architectures must be adapted to cope with these new requirements, or new architectures that focus on smarter and resource-agnostic services must be defined.

Traditional computing elements, frameworks, middleware, and models used by scientists and business analysts would greatly benefit from the integration into a unified computing framework. Previously, this conference followed a path into self-managing workloads in multi-cloud infrastructures, and is now focusing on high-performance, low-latency and secure cloud edge architectures, bringing computing closer to data sources and consumers.

CDCGM's goal is to attract young researchers, PhD students. students, professionals and business leaders to make contributions in the area of ​​distributed clouds, the grid and their management, in particular in the development of models, technologies, frameworks and middleware to improve processing, management, security and programming techniques.

Since the start of the CDCGM path in 2009, participants have contributed to new computer models and demonstrated many applications of emerging technologies to improve the resilience, scalability and efficiency of information processing and network systems.

The new decade promises more advances in our understanding of post-Church-Turing thesis computing, application of distributed self-managing edge clouds, and a path toward strong AI that goes beyond deep learning. The 2022 CDCGM track provides an opportunity to present your contributions and shape the future of IT as we know it.

You are invited to submit research papers to the following areas:

  • Discovering new application scenarios, proposing new operating systems, programming abstractions and tools with particular reference to distributed Grids and Clouds and their integration.
  • Identifying the challenging problems that still need to be solved such as parallel programming, scaling and management of distributed computing elements.
  • Reporting results and experiences gained in building dynamic Grid-based middleware, Computing Cloud and workflow management systems.
  • New models and technologies for management, configuration, accounting of computational resources within Cloud and Grid systems.
  • Cloud/Grid Composition, Federation and Orchestration.
  • High Performance Cloud Computing.
  • Interoperability between native High Performance Infrastructures and Public/Hybrid Cloud.
  • Inter-cloud, large scale Workflow Management with particular reference to unified computing infrastructures.
  • Green Cloud Computing.
  • Emerging problems and recent trends in the field of IoT and Ubiquitous Clouds.
  • Architectures and models for large scale, federated utility computing infrastructures.
  • Big Data models and frameworks with particular emphasis to the integration of existing systems into Public/Hybrid Cloud.
  • Intelligent systems for Cloud Data management.
  • Emerging policies, algorithms and architectural frameworks for Service Level Agreement (SLA) for unified computing infrastructures
  • Intelligent systems for deploying and configuration of Clouds and Grid Services.
  • Infrastructures, models and frameworks for Utility Computing Service Migration.
  • Emerging infrastructures, middleware, frameworks for Unified computing platforms.
  • Intelligent systems for unified and federated utility computing infrastructures.
  • Security, Privacy, Trustworthiness for Public, Private, and Hybrid Clouds.
  • New software architectures for unified and interoperable Grid and Cloud platforms.
  • Virtualization of Grid resources and their management within private/hybrid Cloud.
  • Data Protection strategies and architectures
  • Hardware Security and Trust
  • SDN & WSN networks

Committee Members

Corrado Santoro University of Catania, Italy
Fatos Xhafa Universita Politecnica de Catalunya, Spain
Giancarlo Fortino University of Calabria, Italy
Marzio Pennisi Università di Catania, Dipartimento di Matematica e Informatica, Italy
Valentina Casola Università Federico II di Napoli, Italy
Douglas D.J. de Macedo Federal University of Sergipe (UFS), Brazil.
Alessandra de Benedictis Università Federico II di Napoli, Italy
Massimiliano RakUniversità della Campania Luigi Vavitelli, Italy
Eric RenaultInstitut Mines-Télécom -- Télécom SudParis, France
Domenico RosaciUniversità Mediterranea di Reggio Calabria, Italy
Giuseppe M.L SarnéUniversità Mediterranea di Reggio Calabria, Italy
Ilias SavvasUniversity of Thessaly, Greece
Marta Catillo Università del Sannio, Benevento, Italy
Lidia FotiaDIIES, Università Mediterranea di Reggio Calabria, Italy
Fabio Longo Universitá di Catania, Dipartimento di Matematica e Informatica, Italy

Track Chairs

Fabrizio Messina

Fabrizio Messina

Giovanni Salzillo

Giovanni Salzillo

Salvatore Barone

Salvatore Barone
Department of Electrical Engineering and
Information Technologies
Università Federico II di Napoli, Italy

Important dates

Submission Deadline February 25th, 2022 March 11th, 2022
Notification to authors March 25th, 2022 April 1st, 2022
IEEE Camera Ready May 6th, 2022
Early Registration Deadline May 6th, 2022
Conference dates June 29th—July 1st, 2022

Paper submission

All the papers submitted will be reviewed by peers and selected papers will be published in the Conference Proceedings by IEEE.

Participants are expected to submit an original research paper or a position paper, not submitted or published elsewhere, through the EasyChair web site: SUBMISSION LINK

Submission should follow the IEEE format (single spaced, two columns, 10pt, Times font) at most SIX (6) PAGES, including figures, tables and references.

Authors must upload their paper as PDF file. Papers using different formats could be not considered for review. Please check also that the submission will include the title of the paper, the names and affiliations of the authors, a 150-word abstract, and at most eight keywords.