CCGrid2020 Quick Links (Download Front Page)

Session 1: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda,Streaming, etc.
(YouTube Playlist)

• A Pattern-Based API for Mapping Applications to a Hierarchy of Multi-core Devices
  Jia Guo, Radu Teodorescu, and Gagan Agrawal
  

• Reliability Management for Blockchain-Based Decentralized Multi-cloud
  Atakan Aral, Rafael Brundo Uriarte, Anthony Simonet-Boulogne, and Ivona Brandic
  

• Co-Utile Peer-to-Peer Decentralized Computing
  Josep Domingo-Ferrer, Alberto Blanco-Justicia, David Sanchez, and Najeeb Jebreel
  

• Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement
  Anirban Das, Shigeru Imai, Mike P. Wittie, and Stacy Patterson
  

• NFV Placement in Resource-Scarce Edge Nodes
  Yaron Fairstein, Dor Harris, Joseph Naor, and Danny Raz
  

• NAMB: A Quick and Flexible Stream Processing Application Prototype Generator
  Alessio Pagliari, Fabrice Huet, and Guillaume Urvoy-Keller
  

• Merge, Split, and Cluster: Dynamic Deployment of Stream Processing Applications
  Aymen Jlassi and Cédric Tedeschi
  

• Robustness-Oriented k Edge Server Placement
  Guangming Cui, Qiang He, Xiaoyu Xia, Feifei Chen, Hai Jin, and Yun Yang
  

• REDEMON: Resilient Decentralized Monitoring System for Edge Infrastructures
  Roger Pueyo Centelles, Mennan Selimi, Felix Freitag, and Leandro Navarro
  

Session 2: Architecture, Networking, Data Centers.
(YouTube Playlist)

• Design and Characterization of InfiniBand Hardware Tag Matching in MPI
  Mohammadreza Bayatpour, S. Mahdieh Ghazimirsaeed, Shulei Xu, Hari Subramoni, and Dhabaleswar K. Panda
  

• Characterizing Accuracy-Aware Resilience of GPGPU Applications
  Bin Nie, Adwait Jog, and Evgenia Smirni
  

• Multi-site Connectivity for Edge Infrastructures DIMINET: DIstributed Module for Inter-Site NETworking
  David Espinel Sarmiento, Adrien Lebre, Lucas Nussbaum, and Abdelhadi Chari
  

• Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters
  Jashwant Raj Gunasekaran, Michael Cui, Prashanth Thinakaran, Josh Simons, Mahmut T. Kandemir, and Chita R. Das
  

Session 3: Storage and I/O Systems.
(YouTube Playlist)

• BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription
  Hanul Sung, Jiwoo Bang, Chungyong Kim, Hyung-Sin Kim, Alexander Sim, Glenn K. Lockwood, and Hyeonsang Eom
  

• Thermo-Mechanical Coupling Induced Performance Degradation in Storage Systems
  Sanjeev Sondur, Kenny Gross, and Krishna Kant
  

• Efficient Metadata Indexing for HPC Storage Systems
  Arnab K. Paul, Brian Wang, Nathan Rutman, Cory Spitz, and Ali R. Butt
  

• DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models
  Bogdan Nicolae, Jiali Li, Justin M. Wozniak, George Bosilca, Matthieu Dorier, and Franck Cappello
  

• Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications
  Nathanaël Cheriere, Matthieu Dorier, Gabriel Antoniu, Stefan M. Wild, Sven Leyffer, and Robert Ross
  

• Parallel I/O on Compressed Data Files: Semantics, Algorithms, and Performance Evaluation
  Siddhesh Pratap Singh and Edgar Gabriel
  

Session 4: Programming Models and Runtime Systems.
(YouTube Playlist)

• Tracking Scientific Simulation using Online Time-Series Modelling
  Minh Ngoc Dinh, Chien Trung Vo, and David Abramson
  

• GAN-ASD: Precise Software Aging State Detection for Android System Based on BEGAN Model and State Clustering
  Zeming Hao and Jing Liu
  

• Using Arm Scalable Vector Extension to Optimize Open MPI
  Dong Zhong, Pavel Shamis, Qinglei Cao, George Bosilca, Shinji Sumimoto, Kenichi Miura, and Jack Dongarra
  

• Energy Efficiency and Performance Modeling of Stencil Applications on Manycore and GPU Computing Resources
  Krzysztof Kurowski, Miłosz Ciżnicki, and Jan Węglarz
  

• Checkpoint Restart Support for Heterogeneous HPC Applications
  Konstantinos Parasyris, Kai Keller, Leonardo Bautista-Gomez, and Osman Unsal
  

Session 5: Resource Management and Scheduling.
(YouTube Playlist)

• Marabunta: Continuous Distributed Processing of Skewed Streams
  Bing Li, Zhibin Zhang, Tianqi Zheng, Qiaoling Zhong, Qun Huang, and Xueqi Cheng
  

• Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning
  Sarunya Pumma, Daniele Buono, Fabio Checconi, Xinyu Que, and Wu-chun Feng
  

• MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems
  Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali R. Butt, Seung-Hwan Lim, and Sudharshan S. Vazhkudai
  

• A NSGA-II-Based Approach for Multi-objective Micro-Service Allocation in Container-Based Clouds
  Boxiong Tan, Hui Ma, and Yi
  

• Enhancing Microservices Architectures using Data-Driven Service Discovery and QoS Guarantees
  brZeina Houmani, Daniel Balouek-Thomert, Eddy Caron, and Manish Parashar
  

• FlexGPU: A Flexible and Efficient Scheduler for GPU Sharing Systems
  Qichen Chen, Hyojeong Lee, Heon Young Yeom, and Yongseok Son
  

• Multi-resource Low-Latency Cluster Scheduling without Execution Time Estimation
  Hidehito Yabuuchi and Takahiro Shinagawa
  

• Salamander: A Holistic Scheduling of MapReduce Jobs on Ephemeral Cloud Resources
  Mohamed Handaoui, Jean-Emile Dartois, Laurent Lemarchand, and Jalil Boukhobza
  

• Performance Evaluation of Security-Aware List Scheduling Algorithms in IaaS Cloud
  Hamza Djigal, Jun Feng, and Jiamin Lu
  

Session 6: Performance Modelling and Evaluation.
(YouTube Playlist)

• Predictable Efficiency for Reconfiguration of Service-Oriented Systems with Concerto
  Maverick Chardet, Hélène Coullon, and Christian Perez
  

• CSR2: A New Format for SIMD-Accelerated SpMV
  Haodong Bian, Jianqiang Huang, Runting Dong, Lingbin Liu, and Xiaoying Wang
  

• Trua: Efficient Task Replication for Flexible User-Defined Availability in Scientific Grids
  Zhe Zhang, Brian Bockelman, Derek Weitzel, Xinkai Zhang, Hamid Vakilzadian, and David Swanson
  

• In Datacenter Performance, the Only Constant is Change
  Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq, and Robert Ricci
  

• Performance Comparison of Terraform and Cloudify as Multicloud Orchestrators
  Leonardo Reboucas de Carvalho and Aleteia Patricia Favacho de Araujo
  

• Cross Architectural Power Modelling
  Kai Chen, Peter Kilpatrick, Dimitrios S. Nikolopoulos, and Blesson Varghese
  

Session 7: Cyber-Security and Privacy.
(YouTube Playlist)

• A Feedforward Neural Network Based Model to Predict Sub-Optimal Path Attack in IoT-LLNs
  Rashmi Sahay, Geethakumari G, and Barsha Mitra
  

• Two-Phase Multi-party Computation Enabled Privacy-Preserving Federated Learning
  Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul, and Shangguang Wang
  

• Cost-Effective Malware Detection as a Service Over Serverless Cloud Using Deep Reinforcement Learning
  Yoni Birman, Shaked Hindi, Gilad Katz, and Asaf Shabtai
  

• A Collusion-Resistant Revocable Attribute-Based Encryption Scheme for Secure Data Sharing in Cloud
  Md. Azharul Islam and Sanjay Madria
  

• Solving the Interdependency Problem: A Secure Virtual Machine Allocation Method Relying on the Attacker's Efficiency and Coverage
  Bernard Ousmane Sane, Mandicou Ba, Doudou Fall, Shigeru Kashihara, Yuzo Taenaka, Ibrahima Niang, and Youki Kadobayashi
  

• Key-Escrow Free Attribute-Based Multi-keyword Search with Dynamic Policy Update in Cloud Computing
  Uma Sankararao Varri, Syam Kumar Pasupuleti, and Kadambari KV
  

Session 8: Sustainable and Green Computing.
(YouTube Playlist)

• The Power of ARM64 in Public Clouds
  Qingye Jiang, Young Choon Lee, and Albert Y. Zomaya
  

• Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications
  Issam Raïs, Otto Anshus, John Markus Bjørndalen, Daniel Balouek-Thomert, and Manish Parashar
  

• SMARTWATTS: Self-Calibrating Software-Defined Power Meter for Containers
  Guillaume Fieni, Romain Rouvoy, and Lionel Seinturier
  

• Energy Efficient Algorithms Based on VM Consolidation for Cloud Computing: Comparisons and Evaluations
  Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill, Chengxi Gao, Wenhong Tian, Chengzhong Xu, and Rajkumar Buyya
  

Session 9: Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc.
(YouTube Playlist)

• A Distributed Path Query Engine for Temporal Property Graphs
  Shriram Ramesh, Animesh Baranawal, and Yogesh Simmhan
  

• Performance Benefits of Intel® Optane^TM DC Persistent Memory for the Parallel Processing of Large Neuroimaging Data
  Valérie Hayot-Sasson, Shawn T. Brown, and Tristan Glatard
  

• Serdab: An IoT Framework for Partitioning Neural Networks Computation Across Multiple Enclaves
  Tarek Elgamal and Klara Nahrstedt
  

• Standard Deviation Based Adaptive Gradient Compression for Distributed Deep Learning
  Mengqiang Chen, Zijie Yan, Jiangtao Ren, and Weigang Wu
  

• SparkLeBLAST: Scalable Parallelization of BLAST Sequence Alignment Using Spark
  Karim Youssef and Wu-chun Feng
  

Session 10: Resource Management and Scheduling & Sustainable and Green Computing.
(YouTube Playlist)

• Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins
  Christos Kalogirou, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Lev Mukhanov, and Georgios Karakonstantis
  

• Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems
  Pengfei Zou, Ang Li, Kevin Barker, and Rong Ge
  

• Online Multi-user Workflow Scheduling Algorithm for Fairness and Energy Optimization
  Emile Cadorel, Hélène Coullon, and Jean-Marc Menaud
  

• A Data-Driven Frequency Scaling Approach for Deadline-Aware Energy Efficient Scheduling on Graphics Processing Units (GPUs)
  Shashikant Ilager, Rajeev Muralidhar, Rammohanrao Kotagiri, and Rajkumar Buyya
  

Session 11: Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc. and Resource Management and Scheduling.
(YouTube Playlist)

• An Efficient Service Dispersal Mechanism for Fog and Cloud Computing Using Deep Reinforcement Learning
  Chinmaya Kumar Dehury and Satish Narayana Srirama
  

• Adaptive AI-Based Auto-Scaling for Kubernetes
  Laszlo Toka, Gergely Dobreff, Balazs Fodor, and Balazs Sonkoly
  

• DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-Sharing Devices
  Shaojun Zhang, Wei Li, Chen Wang, Zahir Tari, and Albert Y. Zomaya
  

• Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow
  Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok Choudhary, and Kesheng Wu
  

Session 12: Architecture, Networking, Data Centers & Resource Management and Scheduling & Performance Modelling and Evaluation.
(YouTube Playlist)

• Q-Flink: A QoS-Aware Controller for Apache Flink
  M.Reza HoseinyFarahabady, Ali Jannesari, Javid Taheri, Wei Bao, Albert Y. Zomaya, and Zahir Tari
  

• ApproxDNN: Incentivizing DNN Approximation in Cloud
  Seyed Morteza Nabavinejad, Lena Mashayekhy, and Sherief Reda
  

• A Network Cost-Aware Geo-Distributed Data Analytics System
  Kwangsung Oh, Abhishek Chandra, and Jon Weissman
  

• Detecting and Reacting to Anomalies in Relaxed Uses of Raft
  Philip Dexter, Bedri Sendir, and Kenneth Chiu
  

Session 13: Poster Papers
(YouTube Playlist)

• ECHO: A Tool for Empirical Evaluation Cloud Chatbots
  Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Yong-Bin Kang, and Ahsan Morshed
  

• TDD4Fog: A Test-Driven Software Development Platform for Fog Computing Systems
  Rui Li, Xiao Liu, Xi Zheng, Chong Zhang, and Huai Liu
  

• A Graph-Based Indexing Technique to Enhance the Performance of Boolean AND Queries in Big Data Systems
  Abdulla Kalandar Mohideen, Shikharesh Majumdar, Marc St-Hilaire, and A El-Haraki
  

• A Comparative Analysis of Task Scheduling Approaches in Cloud Computing
  Muhammad Ibrahim, Said Nabi, Rasheed Hussain, Muhammad Summair Raza, Muhammad Imran, S.M. Ahsan Kazmi, Alma Oracevic, and Fatima Hussain
  

• CUBE – Towards an Optimal Scaling of Cosmological N-Body Simulations
  Shenggan Cheng, Hao-Ran Yu, Derek Inman, Qiucheng Liao, Qiaoya Wu, and James Lin
  

Workshop 1: The First International Workshop on Secure Mobile Cloud Computing (IWoSeMC-20)
(YouTube Playlist)

• Deadline-Aware Scheduling in Cloud-Fog-Edge Systems
  Andrei-Vlad Postoaca, Catalin Negru, and Florin Pop
  

• Machine Learning Techniques for Transmission Parameters Classification in Multi-agent Managed Network
  Dariusz Żelasko, Paweł Pławiak, and Joanna Kołodziej
  

• Adaptive Context-Aware Energy Optimization for Services on Mobile Devices with use of Machine Learning Considering Security Aspects
  Piotr Nawrocki, Bartlomiej Sniezynski, Joanna Kolodziej, and Pawel Szynkiewicz
  

• TRM-EAT - A New Tool for Reliability Evaluation of Trust and Reputation Management Systems in Mobile Environments
  Marek Janiszewski
  

Workshop 2: The 3rd High Performance Machine Learning Workshop (HPML 2020)
(YouTube Playlist)

• Partial Data Permutation for Training Deep Neural Networks
  Guojing Cong, Li Zhang, and Chih-Chieh Yang
  

• SOL: Effortless Device Support for AI Frameworks without Source Code Changes
  Nicolas Weber and Felipe Huici
  

• Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training
  Yuxin Wang, Qiang Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Kaiyong Zhao, and Xiaowen Chu
  

• Automatic Parallelization of Probabilistic Models with Varying Load Imbalance
  Balazs Nemeth, Tom Haber, Jori Liesenborgs, and Wim Lamotte
  

• Performance Analysis of Distributed and Scalable Deep Learning
  Sean Mahon, Sébastien Varrette, Valentin Plugaru, Frédéric Pinel, and Pascal Bouvry
  

Workshop 3: The 1st Workshop on Secure IoT, Edge and Cloud systems (SIoTEC) 2020
(YouTube Playlist)

• Integrated Proactive Defense for Software Defined Internet of Things Under Multi-target Attacks
  Weilun Liu, Mengmeng Ge, and Dong Seong Kim
  

• Analysis and Optimization of TLS-Based Security Mechanisms for Low Power IoT Systems
  Frederik Lauer, Carl C. Rheinländer, Claus Kestel, and Norbert Wehn
  

• An Edge-Based Distributed Ledger Architecture for Supporting Decentralized Incentives in Mobile Crowdsensing
  Paolo Bellavista, Marco Cilloni, Giuseppe Di Modica, Rebecca Montanari, Pasquale Carlo Maiorano Picone, and Michele Solimando
  

• Verifiable Secret Share for File Storage with Cheater Identification
  Antonino Galletta, Maria Fazio, Antonio Celesti, and Massimo Villari
  

• Efficient Certificate Management in Blockchain Based Internet of Vehicles
  Ei Mon Cho and Maharage Nisansala Sevwandi Perera
  

• Distributed IoT Attestation via Blockchain
  Ira Ray Jenkins and Sean W. Smith
  

Workshop 4: The 5th International Workshop on Emerging Computing Paradigms and Context in Business Process Management (CCBPM 2020)
(YouTube Playlist)

• An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-tier Web Systems
  Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, and Lizhen Cui
  

• CLAWER: Context-Aware Cloud-Fog based Workflow Management Framework for Health Emergency Services
  Shreya Ghosh, Jaydeep Das, Soumya K. Ghosh, and Rajkumar Buyya
  

• Improved Matrix-Based Attribute Reduction Algorithm Based on Minimal Elements for Mobile Edge Computing
  Yi Xu, Zhiqiang Zheng, and Yan Cheng
  

• Real-Time Situation Awareness of Industrial Process Based on Deep Learning at the Edge Server
  Rongbin Xu, Wangxing Lin, Zhiqiang Liu, Menglong Wang, Yuanmo Lin, and Ying Xie
  

• BDSP in the Cloud: Scheduling and Load Balancing Utlizing SDN and CEP
  Ahmed Al-Mansoori, Jemal Abawajy, and Morshed Chowdhury
  

• A Locality Sensitive Hashing Based Approach for Federated Recommender System
  Hongsheng Hu, Gillian Dobbie, Zoran Salcic, Meng Liu, Jianbing Zhang, and Xuyun Zhang
  

• A Service Mesh-Based Load Balancing and Task Scheduling System for Deep Learning Applications
  Xiaojing Xie and Shyam S. Govardhan
  

Workshop 5: The 2nd IEEE/ACM International Workshop on Network-Aware Big Data Computing (NEAC'20)
(YouTube Playlist)

• Coflow Scheduling with Performance Guarantees for Data Center Applications
  Asif Hasnain and Holger Karl
  

• VM Performance Maximization and PM Load Balancing Virtual Machine Placement in Cloud
  Hui Zhao, Quan Wang, Jing Wang, Bo Wan, and Shangshu Li
  

• Exploring Erasure Coding Techniques for High Availability of Intermediate Data
  Zhe Zhang, Brian Bockelman, Derek Weitzel, and David Swanson
  

• Sharing Digital Object Across Data Infrastructures using Named Data Networking (NDN)
  Kees de Jong, Cas Fahrenfort, Anas Younis, and Zhiming Zhao
  

• FLIP-FLexible IoT Path Programming Framework for Large-Scale IoT
  Shahzad Shahzad and Eun-Sung Jung
  

Symposium 1: Doctoral Symposium
(YouTube Playlist)

• Bitwise Reproducible Task Execution on Unstructured Mesh Applications
  Balint Siklosi, Istvan Z Reguly, and Gihan R Mudalige
  

• Exploring Mobility Behaviours of Moving Agents from Trajectory Traces in Cloud-Fog-Edge Collaborative Framework
  Shreya Ghosh and Soumya K. Ghosh
  

• Helibot - A Smart Distributed Energy Resources Platform for Futuristic Smart Grids
  Vanh Khuyen Nguyen, Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, and Trung Duc Vo
  

• Data Management in Erasure-Coded Distributed Storage Systems
  Aatish Chiniah and Avinash Mungur
  

• Automatic Parallel Implementations of Adjoint Codes for Structured Mesh Applications
  Gábor Dániel Balogh and István Reguly
  

CCGrid2021 Pre-recorded Paper Presentations