Call for Papers

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

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

Due to many requests, both the abstract and the regular papers submission deadlines of CCGrid have been extended to Dec 19th, 2021. No further extensions will be provided.

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

The 22nd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) is a leading forum to disseminate an 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.

CCGrid will act with responsibility as its primary consideration. Authors and participants are encouraged to read the ACM Code of Ethics and Professional Conduct and ACM Policy Against Harassment.

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
- 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, 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
- 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
- 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
- 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
- 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
- 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
- Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness.

Track 8: Scientific and industrial applications
- 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
- 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.

Paper submission:
==================
Authors are invited to submit papers electronically through the following link:
https://easychair.org/conferences/?conf=ccgrid2022

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 (Link). 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!
Abstact Paper Due: December 19, 2021 (Final paper submission: December 19, 2021)
Full Paper Due: December 19, 2021 (firm deadline)
Acceptance Notification: February 16, 2022
Camera Ready Papers Due: March 31, 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

Tracks
==============================
Track 1: Future Internet computing systems:
VCs
Hai Jin, Huazhong University of Science and Technology, China
Lydia Y. Chen, TU Delft, Netherlands
PC members
Yogesh Barve, Vanderbilt University
Robert Birke, ABB Research
Quan Chen, Shanghai Jiao Tong University
Xiaowen Chu, Hong Kong Baptist University
Sheng Di, ANL
Pantelis Frangoudis, TU Wien
Harshit Gupta, Georgia Institute of Technology
Rui Han, ICT, Chinese Academy of Sciences
Bingsheng He, National University of Singapore
Ligang He, The University of Warwick
Qiang He, Department of Computing Technologies, Swinburne University of Technology
Shadi Ibrahim, Inria, Rennes Bretagne Atlantique Research Center
Fuyuki Ishikawa, National Institute of Informatics
Fabio Kon, University of São Paulo
Zhiling Lan, Illinois Institute of Technology
Patrick P. C. Lee, The Chinese University of Hong Kong
Hao Li, Hunan University
Weifa Liang, The Australian National University
Rui Mao, Shenzhen University
Miguel Matos, IST, INESC-ID, U. Lisboa
Thomas Pasquier, University of Bristol
Thomas Rausch, Vienna University of Technology
Xuanhua Shi, Huazhong University of Science and Technology
Lauritz Thamsen, TU Berlin
Demetris Trihinas, University of Nicosia
Peter Tröger, TU Chemnitz
Monica Vitali, Politecnico di Milano
De-Nian Yang
Feng Zhang, Renmin University of China
Zilong Zhao, TU Delft

Track 2: Programming models and runtime systems:
VCs
Taisuke Boku, University of Tsukuba, Japan
Martin Schulz, Technical University of Munich, Germany
PC members
Paul Carpenter, Barcelona Supercomputing Center
Sunita Chandrasekaran, University of Delaware
Bronis de Supinski, Lawrence Livermore National Laboratory
Matthew Dosanjh, Sandia National Laboratories
Balazs Gerofi, The University of Tokyo
Toshihiro Hanawa, The University of Tokyo
Sven Karlsson, Technical University of Denmark
Michael Klemm, AMD
Naoya Maruyama, NVIDIA
Guillaume Mercier, ENSEIRB/INRIA
Jose Moreira, IBM
Mitsuhisa Sato, RIKEN AICS/ University of Tsukuba
Shinji Sumimoto, Fujitsu

Track 3: Distributed middleware and network architectures:
VCs
Nectarios Koziris, National Technical University of Athens, Greece
Hari Subramoni, Ohio State University, USA
PC members
Abhishek Chandra, University of Minnesota
Alexandre da Silva Veith, University of Toronto
Marios Dikaiakos, University of Cyprus
Schahram Dustdar, Vienna University of Technology
Dror Goldenberg
Ryan E. Grant, Sandia National Laboratories
Dorgival Guedes, UFMG
Tanzima Islam, Texas State University
Vana Kalogeraki, Athens University of Economics and Business
Rajkumar Kettimuthu, Argonne National Lab and The University of Chicago
Sébastien Rumley, University of Applied Sciences Western Switzerland (HES-SO) Fribourg
Yogesh Simmhan, Indian Institute of Science
Christopher Stewart, The Ohio State University
An Wang, Case Western Reserve University
Ming Zhao, Arizona State University

Track 4: Storage and I/O systems:
VCs
Suren Byna, Lawrence Berkeley National Laboratory, USA
Maria S. Perez, Universidad Politecnica de Madrid, Spain
PC members
Gabriel Antoniu, INRIA
Jean Luca Bez, Lawrence Berkeley National Laboratory
Jesus Carretero, Universidad Carlos III de Madrid
Dong Dai, UNC Charlotte
Kira Duwe, Otto von Guericke University Magdeburg
Song Fu, University of North Texas
Qiao Kang, Lawrence Berkeley National Laboratory, USA
Anthony Kougkas, Illinois Institute of Technology
Julian Martin Kunkel, University of Reading
Xiaoyi Lu, University of California, Merced
Preeti Malakar, Indian Institute of Technology Kanpur
Manolis Marazakis, Instutute of Computer Science, FORTH
Stefano Markidis, KTH Royal Institute of Technology
Houjun Tang, Lawrence Berkeley National Laboratory
Osamu Tatebe, University of Tsukuba
Bing Xie, Oak Ridge National Lab

Track 5: Security, privacy, trust and resilience:
VCs
Erman Ayday, Case Western Reserve University, USA
Richard Sinnott, U. Melbourne, Australia
PC members
Sharif Abuadbba, data61, CSIRO
Nour Almadhoun Alserr, ETH Zürich
Chris Bayliss, The University of Melbourne
Raj Buyya, The University of Melbourne
Seyit Camtepe, data61, CSIRO
David Chadwick, Crossword Cybersecurity
Shiping Chen, data61, CSIRO
Shaanan Cohney, The University of Melbourne
Anisa Halimi, CASE WESTERN RESERVE UNIVERSITY
Tianxi Ji, Case Western Reserve Univeristy
Christopher Leckie, The University of Melbourne
Yang Lu, University of Kent
Toby Murray, The University of Melbourne
Yao Pan, The University of Melbourne
Anthony Stell, The University of Melbourne
Shuo Wang, data61, CSIRO
Emre Yilmaz, University of Houston-Downtown
Haiyang Yu, Beijing University of Technology
Xuyun Zhang, Macquarie University
Xiaojie Zhu, University of Oslo

Track 6: Performance modeling, scheduling, and analysis:
VCs
Sameer Shende, University of Oregon, USA
Ana Lucia Varbanescu, University of Amsterdam, Netherlands
PC members
Vignesh Adhinarayanan, AMD Research
Abdel-Hameed Badawy, New Mexico State University
Woongki Baek, UNIST
Jean-Baptiste Besnard, ParaTools SAS
Janki Bhimani, Northeastern University
Mihai Capotă, Intel
Nicholas Chaimov, University of Oregon
Jan Eitzinger, Regional Computing Center Erlangen
Markus Geimer, Juelich Supercomputing Centre
Philipp Gschwandtner, University of Innsbruck
Carlos Guerrero, Universitat de les Illes Balears
Jeff Hammond, Intel
Simon Hammond, Sandia National Laboratories
Ahmed Helal, Intel
Alexandru Iosup, VU
Tanzima Islam, Texas State University
Julien Jaeger, CEA
Seyong Lee, Oak Ridge National Laboratory
John Linford, Arm
Allen Malony, University of Oregon
Artur Podobas, KTH Royal Institute of Technology
Aamir Shafi, The Ohio State University, USA
Hiroyuki Takizawa, Tohoku University
Nathan Tallent, Pacific Northwest National Laboratory
Miwako Tsuji, RIKEN AICS
Alexandru Uta, Leiden University
Katinka Wolter, Freie Universitaet zu Berlin
Nikolay Yakovets, Eindhoven University of Technology

Track 7: Sustainable and green computing:
VCs
Young Choon Lee, Macquarie U., Australia
Wu Feng, Virginia Tech, USA
PC members
Rong Ge, Clemson University
Dongyoon Lee, Stony Brook University
Anne-Cécile Orgerie, CNRS
Chen Wang, CSIRO
Andrew Younge, Sandia National Laboratories
Dong Yuan, The University of Sydney

Track 8: Scientific and industrial applications:
VCs
Vipin Chaudhary, Case Western Reserve University, USA
Dana Petcu, West University of Timisoara, Romania
PC members
Danilo Ardagna, Politecnico di Milano
Maria Carla Calzarossa, Universita di Pavia
Kenneth Chiu, SUNY Binghamton
Pawel Czarnul, Dept. of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology
Ciprian Dobre, University Politehnica of Bucharest
Umberto Ferraro Petrillo, Dipartimento di Statistica, Probabilità e Statistiche Applicate – Università di Roma La Sapienza
Rafael Ferreira da Silva, Oak Ridge National Laboratory
Javier Garcia Blas, Carlos III University
Madhu Govindaraju, SUNY Binghamton
Qiang Guan, Department of Computer Science, Kent State University
Ali Jannesari, University of California, Berkeley
Hai Jiang, Arkansas State Unviersity
Alexey Lastovetsky, University College Dublin
Piotr Luszczek, University of Tennessee Knoxville
Ralf-Peter Mundani, University of Applied Sciences of the Grisons
Leandro Navarro, Universitat Politècnica de Catalunya
Guillaume Pierre, Univ Rennes, Inria, CNRS, IRISA
Massimiliano Rak, University of Campania, Luigi Vanvitelli
Laura Ricci, dipartimento di informatica, Univ. di Pisa
Blesson Varghese, Queen’s University Belfast
Muhammad Younas, Oxford Brookes University

Track 9: Artificial intelligence, Machine Learning and Deep Learning:
VCs
Manish Parashar, University of Utah, USA
Ashiq Anjum, University of Leicester, UK
PC members
Sarah Ahmed, International Center for Chemical and Biological Sciences (ICCBS), University of Karachi
Nitin Auluck, Indian Institute of Technology, Ropar
Ariful Azad, Indiana University Bloomington
Muhammad Ajmal Azad, University of Derby
Daniel Balouek-Thomert, University of Utah
Luiz F. Bittencourt, University of Campinas
Craig Bower, University of Leicester
Ivona Brandic, TU Vienna
Yong Chen, Texas Tech University
Priyanthi Dassanayake
Aditya Devarakonda, Wake Forest University
Beniamino Dimartino
Trilce Estrada, University of New Mexico
Ana Gainaru, Oak Ridge National Laboratory
Dalibor Klusacek, CESNET, Brno, Czech Republic
Antonio Liotta, Free University of Bozen-Bolzano, Italy
Lu Liu, University of Leicester
Richard McClatchey, University of the West of England
Geyong Min, University of Exeter
Dimitrios Nikolopoulos, Virginia Tech
Oznur Ozkasap, Koc University
Antonio J. Peña, Barcelona Supercomputing Center (BSC)
Arvind Ramanathan, Argonne National Laboratory
Rizos Sakellariou, The University of Manchester
Rabia Saleem, University of Derby
Prateek Sharma, Indiana University Bloomington
Ahsan Raza Siyal, ICCBS University of Karachi
Josef Spillner, Zurich University of Applied Sciences
Dingwen Tao, Washington State University
Rafael Tolosana-Calasanz, Universidad de Zaragoza
Bao Wang, University of Utah
Yinghui Wu, Case Western Reserve University
Jidong Zhai, Tsinghua University
Xinghui Zhao, Washington State University
Rongbo Zhu, Huazhong Agricultural University

PhD Symposium
VCs
Carlos A. Varela, Rensselaer Polytechnic Institute, USA
George Pallis, University of Cyprus, Cyprus
Jacopo Soldani, University of Pisa, Italy
PC members
Uwe Breitenbücher, University of Stuttgart
Stefano Forti, University of Pisa
Lena Mashayekhy, University of Delaware
Shrideep Pallickara, Department of Computer Science, Colorado State University
Dimitrios Tsoumakos
Jianwu Wang, Department of Information Systems, University of Maryland, Baltimore County

Poster
VCs
Joanna Kolodziej, NASK Warsaw and Cracow University of Technology, Poland
Laurent Lefevre, INRIA, France

CCGrid Steering Committee:
=========================
Henri Bal, Vrije University, The Netherlands
Pavan Balaji, Facebook/Argonne National Laboratory, USA (Co-Chair)
Rajkumar Buyya, University of Melbourne, Australia (Chair)
Franck Capello, Argonne National Laboratory, USA
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
Young Choon Lee, Macquarie University, Australia
Laurent Lefevre, INRIA, France
Manish Parashar, The University of Utah, USA
Shikharesh Majumdar, Carleton University, Canada
Satoshi Matsuoaka, Tokyo Institute of Technology, Japan
Dhabaleswar K Panda, The Ohio State University, USA
George Pallis, University of Cyprus, Cyprus
Stacy Patterson, Rensselaer Polytechnic Institute, 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

Past Members:
George Mohay, Queensland University of Technology, Australia
Charlie Catlett, Argonne National Laboratory, USA
Satoshi Sekiguchi, AIST, Japan
Alexander Reinefeld, Konrad-Zuse-Zentrum, Germany
Sven Graupner, HP Labs, USA
Mark Baker, University of Reading, United Kingdom
David Walker, University of Wales, Cardiff, United Kingdom
Stephen Turner, Nanyang Technological University, Singapore
Geng Lin, Dell Inc., USA