Call for Papers

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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

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 11, 2022
Camera Ready Papers Due: March 11, 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, Huangzong 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
           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
           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