[hpc-announce] The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022)

Wed Nov 10 00:26:21 CST 2021

Dear users of Hpc-Announce mailing list,

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The 22th IEEE/ACM International Symposium on
Cluster, Cloud and Internet Computing (CCGrid 2022)
in conjunction with
the 6th IEEE International Conference on
Fog and Edge Computing (ICFEC 2022)

May 16-19, 2022, Taormina, Sicily, Italy*

http://fcrlab.unime.it/ccgrid22/

Sponsored by:
IEEE Computer Society / Technical Committee on Scalable Computing
ACM SIGARCH

Hosted/Organised by:

* University of Messina, Italy
* Cardiff University, UK
* University of Klagenfurt, Austria
* Ohio State University, USA
* Future Computing Research LAB (FCRLAB), Italy

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*The safety and well-being of all conference participants is our priority.
The CCGrid organizers are closely monitoring the developments of COVID-19.

Call For Papers

The 22nd IEEE/ACM international Symposium on Cluster, Cloud and Internet
Computing (CCGrid 2022) is a leading forum to disseminate and discuss
research
activities and results on a broad range of topics in distributed systems,
ranging from computing Clusters to widely distributed Clouds and emerging
Internet computing paradigms such as Fog/Edge Computing for Internet of
Things (IoT)/Big Data applications. The conference features keynotes,
technical
presentations, posters, workshops, tutorials, as well as the SCALE challenge
featuring live demonstrations and the ICFEC 2022 conference.

We solicit original contributions on all aspects of distributed systems
and applications in the context of Cluster, Cloud, and Internet computing
environments. Specific topics of interest include but are not limited to the
following:

Track 1: Future Internet computing systems
Topics in the track:
- Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming,
Highly decentralized approaches to cloud computing. Edge/Fog computing,
sensor data streaming and computation on the edges of the network. Function
as a Service (Faas), Backend as a Service (BaaS), serverless computing,
lambda computing.
- Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined
networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine
learning algorithms for 5G/6G systems;
- Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services
and MicroData, Software Defined Membranes;
- Cloud-Economics: Trustworthiness of services, ecosystem economics,
innovative metering, accounting, and billing methods and tools, automated
trading and bidding support tools, performance monitoring, optimization,
prediction, energy efficiency, sustainability, decision support systems.

Track 2: Programming models and runtime systems
Topics in the track:
- Programming Models and Runtime Systems: Programming models, languages,
systems and tools/environments. Virtualization, containers, and middleware
technologies. Actors, agents, programming decentralized computing systems.

Track 3: Distributed middleware and network architectures
Topics in the track:
- Architecture, Networking, Data Centers: Service oriented architectures.
Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service
composition and orchestration. Software-Defined Network-enabled Systems.
Micro-datacenter, cloudlet, edge, or fog computing infrastructure.
Virtualized hardware: GPUs, tensor processing units, FPGAs;
- Cloud-to-Things continuum: Service provisioning and monitoring in a
Cloud-to-Things environment; Resource elasticity in Cloud-to-Things
contexts; Algorithms and systems for automated elasticity; Blockchain-based
resource orchestrator; Machine learning techniques for resource
orchestration; Security policies in Cloud-to-Things.

Track 4: Storage and I/O systems
Topics in the track:
- Storage and I/O Systems: Distributed storage, cloud storage, Storage as a
Service, data locality techniques for in-memory processing, storage in the
edge.

Track 5: Security, privacy, trust and resilience
Topics in the track:
- Cyber-Security, Privacy and Resilient Distributed Systems: Distributed.
Systems security and trust Access control. Data privacy and integrity..
Regulation. Resiliency of service attacks.

Track 6: Performance modeling, scheduling, and analysis
Topics in the track:
- Resource Management and Scheduling: Resource allocation algorithms,
profiling, modeling. Cluster, cloud, and internet computing scheduling and
meta-scheduling techniques;
- Performance Modelling and Evaluation: Performance models. Monitoring and
evaluation tools. Analysis of system/application performance.

Track 7: Sustainable and green computing
Topics in the track:
- Sustainable and Green Computing: Environment friendly computing
ecosystems. Hardware/software/application energy efficiency. Power, cooling
and thermal awareness.

Track 8: Scientific and industrial applications
Topics in the track:
- Applications: Data Science, Artificial Intelligence, Machine Learning,
Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart
Systems and Applications;
- Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging
technologies linked to IoT Platforms. Digital Twin the virtual replica of a
physical entity.

Track 9: Artificial intelligence, Machine Learning and Deep Learning
Topics in the track:
- Artificial Intelligence: Large Scalable Machine Learning, AI at the Edge
and in the Cloud. Cognitive computing;
- Machine learning: deep learning, statistical learning, natural language
processing, computer vision, data mining, multiagent systems, knowledge
representation;
- Applicative domains: healthcare, sustainability, transportation,
commerce,neuroscience and cognitive science;
- Quantum machine learning.

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Paper Submission:
=================
Authors are invited to submit papers electronically through the following
link:
https://fcrlab.unime.it/ccgrid22/paper-submission/

Submitted manuscripts should be structured as technical papers and may not
exceed 10 letter size (8.5 x 11) pages including figures, tables and
references using the IEEE format for conference proceedings. All manuscripts
will be reviewed and will be judged on correctness, originality, technical
strength, significance, quality of presentation, and relevance to the
conference
attendees. Submitted papers must represent original unpublished research
that is
not currently under review for any other conference or journal. Papers not
following these guidelines will be rejected without review and further
action
may be taken, including (but not limited to) notifications sent to the
heads of
the institutions of the authors and sponsors of the conference. Submissions
received after the due date, exceeding length limit, or not appropriately
structured may also not be considered. Authors may contact the conference
chairs
for more information. The proceedings will be published through the IEEE
Press,
USA and will be made online through the IEEE and ACM Digital Libraries.

Important Dates:
==================
Timezone: Anywhere in the world!
Paper Due (Abstract): 24 November 2021 (Final paper submission: 01 December
2021)
Full Paper Due: 01 December 2021
Acceptance Notification: 04 February 2022
Camera Ready Papers Due: 06 March 2022

Best Paper Awards:
==================
CCGrid will present Best Paper Awards to the author(s) of top three
papers selected by the Program Committee. The award will be determined
based on review comments and ratings, viewpoints of the technical and
scientific merits, impact on the science and engineering of the research
work and the clarity of presentation of the research contents in the paper.

Journal Special Issue:
======================
Highly top rated papers from the CCGrid 2022 conference will be invited for
submission of extended version for publication in one of the following
special
issues:
- "Software: Practice and Experience" Journal published by Wiley Press;
- "Green Communications via Optimization Techniques" for Sustainable
Computing:
Informatics and Systems published by Elsevier.

General Co-Chairs:
==================
Massimo Villari, University of Messina , Italy
Omer Rana , Cardiff University, UK

Program Committee Co-Chairs:
=============================
Maria Fazio, University of Messina, Italy
Radu Prodan University of Klagenfurt Austria
Dhabaleswar K. (DK) Panda Ohio State University. USA

Workshop Co-Chairs:
==============================
Haiying Shen, University of Virginia, USA
Antonio Celesti, University of Messina, Italy

Publicity Co-Chairs:
==============================
Jithin Jose, Microsoft, USA
Bahman Javadi, Western Sydney University, Australia
Ching-Hsien Hsu, National Chung Cheng University, Taiwan
Carlos Westphall, Federal University of Santa Catarina, Brazil
Zhicheng Cai, Nanjing University of Science and Technology, China
Helene Coullon, Inria, France
Sukhpal Singh Gill, Queen Mary University of London, UK
Antonino Galletta, University of Messina, Italy

Vice Chairs:
==============================
Track 1: Future Internet computing systems:
Hai Jin, Huangzong University of Science and Technology, China
Lydia Y. Chen, TU Delft, Netherlands
Track 2: Programming models and runtime systems:
Taisuke Boku, University of Tsukuba, Japan
Martin Schulz, Technical University of Munich, Germany
Track 3: Distributed middleware and network architectures:
Nectarios Koziris, National Technical University of Athens, Greece
Hari Subramoni, Ohio State University, USA
Track 4: Storage and I/O systems:
Suren Byna, Lawrence Berkeley National Laboratory, USA
Maria S. Perez, Universidad Politecnica de Madrid, Spain
Track 5: Security, privacy, trust and resilience:
Erman Ayday, Case Western Reserve University, USA
Richard Sinnott, University of Melbourne, Australia
Track 6: Performance modeling, scheduling, and analysis:
Sameer Shende, University of Oregon, USA
Ana Lucia Varbanescu, University of Amsterdam, Netherlands
Track 7: Sustainable and green computing:
Young Choon Lee, Macquarie University, Australia
Wu Feng, Virginia Tech, USA
Track 8: Scientific and industrial applications:
Vipin Chaudhary, Case Western Reserve University, USA
Dana Petcu, West University of Timisoara, Romania
Track 9: Artificial intelligence, Machine Learning and Deep Learning:
Manish Parashar, University of Utah, USA
Ashiq Anjum, University of Leicester, UK

CCGrid Steering Committee:
=========================
Henri Bal, Vrije University, The Netherlands
Pavan Balaji, Argonne National Laboratory, USA
Rajkumar Buyya, University of Melbourne, Australia
Franck Capello, University of Paris-Sud, France
Jesus Carretero, Universidad Carlos III de Madrid, Spain
Ewa Deelman, University of Southern California/ISI, USA
Marios Dikaiakos, University of Cyprus, Cyprus
Jack Dongarra, University of Tennessee & ORNL, USA
Tarek El-Ghazawi, George Washington University, USA
Dick Epema, Technical University of Delft, The Netherlands
Thomas Fahringer, University of Innsbruck, Austria
Ian Foster, University of Chicago, USA
Wolfgang Gentzsch, UberCloud, Germany
Hai Jin, Huazhong University of Science & Technology, China
Craig Lee, The Aerospace Corporation, USA
Laurent Lefevre, INRIA, France
Manish Parashar, Rutgers: The State University of New Jersey, USA
Shikharesh Majumdar, Carleton University, Canada
Satoshi Matsuoaka, Tokyo Institute of Technology, Japan
George Pallis, University of Cyprus, Cyprus
Dhabaleswar K Panda, The Ohio State University, USA
Omer Rana, Cardiff University, UK
Paul Roe, Queensland University of Technology, Australia
Bruno Schulze, LNCC, Brazil
Yogesh Simmhan, Indian Institute of Science, India
Xian-He Sun, Illinois Institute of Technology, USA
Nalini Venkatasubramanian, University of California, USA
Carlos Varela, Rensselaer Polytechnic Institute, USA.
Massimo Villari, University of Messina, Italy
Cho-Li Wang, University of Hong Kong, China
Cheng-Zhong Xu, University of Macau, China

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