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