[hpc-announce] CFP: Cluster, Cloud and Internet Computing (CCGrid 2022) - Deadline Extended

Jithin Jose jithinjose at gmail.com
Fri Dec 3 09:56:45 CST 2021


      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

      Hosted/Organised by:

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


*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.

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

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
      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,
      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
      Virtualized   hardware:   GPUs,   tensor    processing   units,
    - Cloud-to-Things  continuum:   Service  provisioning  and
monitoring   in  a
      Cloud-to-Things   environment;   Resource  elasticity   in
      contexts; Algorithms and systems  for automated elasticity;
      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

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
      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
    - 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
(https://www.ieee.org/conferences/publishing/templates.html).   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!
Abstract Paper Due (optional): 8 December 2021 (Final paper
submission: 15 December 2021)
Full Paper Due: 15 December 2021 (firm deadline)
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
- "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

Track 1: Future Internet computing systems:
      Hai Jin, Huangzong University of Science and Technology, China
      Lydia Y. Chen, TU Delft, Netherlands
   PC members
      Yogesh Barve, Vanderbilt University
      Ilja Behnke, TU Berlin
      Jossekin Beilharz, Hasso-Plattner-Institute
      Quan Chen, Shanghai Jiao Tong University
      Yong Chen, Texas Tech University
      Xiaowen Chu, Hong Kong Baptist University
      Dong Dai, UNC Charlotte
      Sheng Di, ANL
      Pantelis Frangoudis, TU Wien
      Harshit Gupta, Georgia Institute of Technology
      Bingsheng He, National University of Singapore
      Qiang He, Department of Computing Technologies, Swinburne
University of Technology
      Ligang He, The University of Warwick
      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
      Philipp Wiesner, Technische Universität Berlin
      Jidong Zhai, Tsinghua University
      Feng Zhang, Renmin University of China

Track 2: Programming models and runtime systems:
      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
      Seyong Lee, Oak Ridge National Laboratory
      Stefano Markidis, KTH Royal Institute of Technology
      Naoya Maruyama, NVIDIA
      Guillaume Mercier, ENSEIRB/INRIA
      Jose Moreira, IBM
      Dimitrios Nikolopoulos, Virginia Tech
      Mitsuhisa Sato, RIKEN AICS/ University of Tsukuba
      Shinji Sumimoto, Fujitsu
      Hiroyuki Takizawa, Tohoku University
      Miwako Tsuji, RIKEN AICS

Track 3: Distributed middleware and network architectures:
      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
      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
      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:
      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
      Anthony Kougkas, Illinois Institute of Technology
      Xiaoyi Lu, University of California, Merced
      Preeti Malakar, Indian Institute of Technology Kanpur
      Manolis Marazakis, Instutute of Computer Science, FORTH
      Osamu Tatebe, University of Tsukuba
      Bing Xie, Oak Ridge National Lab

Track 5: Security, privacy, trust and resilience:
      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
      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

Track 6: Performance modeling, scheduling, and analysis:
      Sameer Shende, University of Oregon, USA
      Ana Lucia Varbanescu, University of Amsterdam, Netherlands
   PC members
      Jean-Baptiste Besnard, ParaTools SAS
      Mihai Capota, Intel
      Nicholas Chaimov, University of Oregon
      Jan Eitzinger, Regional Computing Center Erlangen
      Markus Geimer, Juelich Supercomputing Centre
      Carlos Guerrero, Universitat de les Illes Balears
      Jeff Hammond, Intel
      Simon Hammond, Sandia National Laboratories
      Alexandru Iosup, VU
      Tanzima Islam, Texas State University
      John Linford, Arm
      Artur Podobas, KTH Royal Institute of Technology
      Nathan Tallent, Pacific Northwest National Laboratory
      Alexandru Uta, Leiden University
      Nikolay Yakovets, Eindhoven University of Technology

Track 7: Sustainable and green computing:
      Young Choon Lee, Macquarie U., Australia
      Wu Feng, Virginia Tech, USA
   PC members
      Vignesh Adhinarayanan, AMD Research
      Woongki Baek, UNIST
      Rong Ge, Clemson University
      Ahmed Helal, Intel
      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:
      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
      Pawel Czarnul, Dept. of Computer Architecture, Faculty of
Electronics, Telecommunications and Informatics, Gdansk University of
      Ciprian Dobre, University Politehnica of Bucharest
      Umberto Ferraro Petrillo, Dipartimento di Statistica,
Probabilità e Statistiche Applicate – Università di Roma “La
      Javier Garcia Blas, Carlos III University
      Alexandru Iosup, VU
      Alexey Lastovetsky, University College Dublin
      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
      Yinghui Wu, Case Western Reserve University
      Muhammad Younas, Oxford Brookes University

Track 9: Artificial intelligence, Machine Learning and Deep Learning:
      Manish Parashar, University of Utah, USA
      Ashiq Anjum, University of Leicester, UK
   PC members
      Nitin Auluck, Indian Institute of Technology, Ropar
      Muhammad Ajmal Azad, University of Derby
      Luiz F. Bittencourt, University of Campinas
      Ivona Brandic, TU Vienna
      Beniamino Dimartino
      Trilce Estrada, University of New Mexico
      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
      Josef Spillner, Zurich University of Applied Sciences
      Rafael Tolosana-Calasanz, Universidad de Zaragoza
      Xinghui Zhao, Washington State University
      Rongbo Zhu, Huazhong Agricultural University

PhD Symposium
      Carlos A. Varela, Rensselaer Polytechnic Institute, USA
      George Pallis, University of Cyprus, Cyprus
      Jacopo Soldani, University of Pisa, Italy

      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, 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


Jithin Jose

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