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22nd CCGRID 2022: Taormina, Italy
- 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022, Taormina, Italy, May 16-19, 2022. IEEE 2022, ISBN 978-1-6654-9956-9
- Tu Mai Anh Do, Loïc Pottier, Orcun Yildiz, Karan Vahi, Patrycja Krawczuk, Tom Peterka, Ewa Deelman:
Accelerating Scientific Workflows on HPC Platforms with In Situ Processing. 1-10 - Orestis Lagkas Nikolos, Georgios I. Goumas, Nectarios Koziris:
Deverlay: Container Snapshots For Virtual Machines. 11-20 - Marco Dantas, Diogo Leitão, Peter Cui, Ricardo Macedo, Xinlian Liu, Weijia Xu, João Paulo:
Accelerating Deep Learning Training Through Transparent Storage Tiering. 21-30 - Sunghwan Ahn, Hyeongjun Park, Vicente A. Bolea Sanchez, Deukyeon Hwang, Wonbae Kim, Alan Sussman, Beomseok Nam:
VeloxDFS: Streaming Access to Distributed Datasets to Reduce Disk Seeks. 31-40 - Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar:
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. 41-50 - Alexandru Iulian Orhean, Anna Giannakou, Lavanya Ramakrishnan, Kyle Chard, Ioan Raicu:
SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System. 51-60 - Huihuo Zheng, Venkatram Vishwanath, Quincey Koziol, Houjun Tang, John Ravi, John Mainzer, Suren Byna:
HDF5 Cache VOL: Efficient and Scalable Parallel I/O through Caching Data on Node-local Storage. 61-70 - Abdullah Al Raqibul Islam, Dong Dai, Dazhao Cheng:
VCSR: Mutable CSR Graph Format Using Vertex-Centric Packed Memory Array. 71-80 - Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez, Alexandru Uta, Jeff LeFevre, Carlos Maltzahn:
Skyhook: Towards an Arrow-Native Storage System. 81-88 - Zejie Hu, Jarvan Law, Zhiguang Chen, Nong Xiao:
An SIMD-Accelerated Metadata Management Scheme for Persistent Memory File Systems. 89-98 - Raul Saiz-Laudo, Marc Sánchez Artigas:
Egeon: Software-Defined Data Protection for Object Storage. 99-108 - Hariharan Devarajan, Anthony Kougkas, Huihuo Zheng, Venkatram Vishwanath, Xian-He Sun:
Stimulus: Accelerate Data Management for Scientific AI applications in HPC. 109-118 - Myungjun Son, Shruti Mohanty, Jashwant Raj Gunasekaran, Aman Jain, Mahmut Taylan Kandemir, George Kesidis, Bhuvan Urgaonkar:
Splice: An Automated Framework for Cost-and Performance-Aware Blending of Cloud Services. 119-128 - Bartlomiej Przybylski, Pawel Zuk, Krzysztof Rzadca:
Divide (CPU Load) and Conquer: Semi-Flexible Cloud Resource Allocation. 129-139 - Philipp Gackstatter, Pantelis A. Frangoudis, Schahram Dustdar:
Pushing Serverless to the Edge with WebAssembly Runtimes. 140-149 - Pavana Pradeep Kumar, Krishna Kant, Amitangshu Pal:
Managing Access Control in Large-Scale Multi-party IoT Systems. 150-159 - Ludovic Javet, Nicolas Anciaux, Luc Bouganim, Philippe Pucheral:
Edgelet Computing: Pushing Query Processing and Liability at the Extreme Edge of the Network. 160-169 - Yuxuan Zhao, Alexandru Uta:
Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions. 170-179 - Xue Li, Peng Kang, Jordan Molone, Wei Wang, Palden Lama:
KneeScale: Efficient Resource Scaling for Serverless Computing at the Edge. 180-189 - Mohammad Sadegh Aslanpour, Adel Nadjaran Toosi, Muhammad Aamir Cheema, Raj Gaire:
Energy-Aware Resource Scheduling for Serverless Edge Computing. 190-199 - Jiayue Wang, Hongbo Zhao, Haoqiang Liu, Liwei Geng, Zebin Sun:
A Distributed Vehicle-assisted Computation Offloading Scheme based on DRL in Vehicular Networks. 200-209 - Aleksandra Obeso Duque, Cristian Klein, Jinhua Feng, Xuejun Cai, Björn Skubic, Erik Elmroth:
A Qualitative Evaluation of Service Mesh-based Traffic Management for Mobile Edge Cloud. 210-219 - Kevin Assogba, Moiz Arif, M. Mustafa Rafique, Dimitrios S. Nikolopoulos:
On Realizing Efficient Deep Learning Using Serverless Computing. 220-229 - Xingkong Ma, Weinan Zhai, Shaoyong Li, Xueshu Hong, Bo Liu:
A Scalable Covert Communication Service For Coworkers. 230-238 - Amirmohammad Pasdar, Young Choon Lee, Tongliang Liu, Seok-Hee Hong:
Train Me to Fight: Machine-Learning Based On-Device Malware Detection for Mobile Devices. 239-248 - Jayasree Sengupta, Sushmita Ruj, Sipra Das Bit:
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT. 249-258 - Jawhara Aljabri, Anna Lito Michala, Jeremy Singer:
ELSA: A Keyword-based Searchable Encryption for Cloud-edge assisted Industrial Internet of Things. 259-268 - Jakob Svenningsson, Nicolae Paladi, Arash Vahidi:
SGX-Bundler: speeding up enclave transitions for IO-intensive applications. 269-278 - Dhouha Ayed, Paul-Andrei Dragan, Edith Félix, Zoltán Ádám Mann, Eliot E. Salant, Robert Seidl, Anestis Sidiropoulos, Steve Taylor, Ricardo Vitorino:
Protecting sensitive data in the cloud-to-edge continuum: The FogProtect approach. 279-288 - Zhengwei Ren, Xin Li, Shiwei Xu, Yan Tong:
Restricting the Number of Times That Data Can Be Accessed in Cloud Storage Using TrustZone. 289-296 - Beiji Zou, Fanbo Nie, Ling Xiao, Tao Zhang, Chengzhang Zhu:
MeDA: Using Blockchain for Patient-Controlled Medical Data Auditing in Institutions. 297-306 - Qian Zhou, Haoran Xia, Hongzheng Yan, Ming Yang, Shidong Chen:
Adaptive Multi-Feature Fusion Visual Target Tracking Based on Siamese Neural Network with Cross-Attention Mechanism. 307-316 - Collin Meese, Hang Chen, Syed Ali Asif, Wanxin Li, Chien-Chung Shen, Mark M. Nejad:
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction. 317-326 - Zhen Chexia, Zhenhua Tan, Danke Wu, Jingyu Ning, Bin Zhang:
A Generalized Model for Crowd Violence Detection Focusing on Human Contour and Dynamic Features. 327-335 - Bogdan Nicolae, Tanner Hobson, Orcun Yildiz, Tom Peterka, Dmitriy Morozov:
Towards Low-Overhead Resilience for Data Parallel Deep Learning. 336-345 - Jasmin Bogatinovski, Sasho Nedelkoski, Li Wu, Jorge Cardoso, Odej Kao:
Failure Identification from Unstable Log Data using Deep Learning. 346-355 - Xuanwei Lin, Chen Dong, Ximeng Liu, Yuanyuan Zhang:
SPA: An Efficient Adversarial Attack on Spiking Neural Networks using Spike Probabilistic. 366-375 - Peini Liu, Gusseppe Bravo Rocca, Jordi Guitart, Ajay Dholakia, David Ellison, Miroslav Hodak:
Scanflow-K8s: Agent-based Framework for Autonomic Management and Supervision of ML Workflows in Kubernetes Clusters. 376-385 - Shehtab Zaman, Tim Moon, Tom Benson, Sam Adé Jacobs, Kenneth Chiu, Brian Van Essen:
Parallelizing Graph Neural Networks via Matrix Compaction for Edge-Conditioned Networks. 386-395 - Chunhua Xiao, Chen Shi, Dandan Xu, Fangzhu Lin, Kun Ning:
SDST-Accelerating GEMM-based Convolution through Smart Data Stream Transformation. 396-403 - Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao:
Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. 404-413 - Xiang Fei, Jianhui Han, Jianqiang Huang, Weimin Zheng, Youhui Zhang:
Accelerating Neural Network Training with Processing-in-Memory GPU. 414-421 - Jinlai Xu, Balaji Palanisamy, Qingyang Wang, Heiko Ludwig, Sandeep Gopisetty:
Decentralized Allocation of Geo-distributed Edge Resources using Smart Contracts. 422-431 - Tu Dinh Ngoc, Boris Teabe, Daniel Hagimont, Georges Da Costa:
Optimized Resource Allocation on Virtualized Non-Uniform I/O Architectures. 432-441 - Davood Ghatreh Samani, Mohsen Amini Salehi:
Exploring the Impact of Virtualization on the Usability of Deep Learning Applications. 442-451 - Saptashwa Mitra, Menuka Warushavithana, Mazdak Arabi, F. Jay Breidt, Sangmi Lee Pallickara, Shrideep Pallickara:
Alleviating Resource Requirements for Spatial Deep Learning Workloads. 452-462 - José Rocher-González, Ernst Gunnar Gran, Sven-Arne Reinemo, Tor Skeie, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco José Quiles Flor:
Adaptive Routing in InfiniBand Hardware. 463-472 - Prateeksha Varshney, Shriram Ramesh, Shayal Chhabra, Aakash Khochare, Yogesh Simmhan:
Resilient Execution of Data-triggered Applications on Edge, Fog and Cloud Resources. 473-483 - Xiaoquan Zhang, Lin Cui, Fung Po Tso:
pSFC: Fine-grained Composition of Service Function Chains in the Programmable Data Plane. 484-493 - Armel Jeatsa, Boris Teabe, Daniel Hagimont:
CASY: A CPU Cache Allocation System for FaaS Platform. 494-503 - Avinash Kumar Chaurasia, Bhaskaran Raman, Praveen Kumar Gupta, Omkar Prabhu, Shashank P, Anshuj Garg:
Hummingbird: Leveraging Heterogeneous System Architecture for deploying dynamic NFV chains. 504-513 - Ghazanfar Ali, Lowell Wofford, Christopher Turner, Yong Chen:
Automating CPU Dynamic Thermal Control for High Performance Computing. 514-523 - Issam Raïs, Loic Guegan, Otto J. Anshus:
Impact of loosely coupled data dissemination policies for resource challenged environments. 524-533 - Yusuke Nagasaka, Naoto Fukumoto:
Efficient Collision-Free MTTKRP Algorithm for Multi-core CPUs with Less Memory Usage. 534-543 - Anmol Paudel, Satish Puri:
Accelerating Spatial Autocorrelation Computation with Parallelization, Vectorization and Memory Access Optimization: With a focus on rapid recalculation of COVID related spatial statistics for faster geospatial analysis and response. 544-554 - Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi, Mattias Åkesson, Prashant Singh, Ola Spjuth, Salman Toor, Andreas Hellander:
Scalable federated machine learning with FEDn. 555-564 - Hamza Safri, Mohamed Mehdi Kandi, Youssef Miloudi, Christophe Bortolaso, Denis Trystram, Frédéric Desprez:
A Federated Learning Framework for IoT: Application to Industry 4.0. 565-574 - Jacek Kusnierz, Vincenzo Eduardo Padulano, Maciej Malawski, Kamil Burkiewicz, Enric Tejedor Saavedra, Pedro Alonso-Jordá, Michael Pitt, Valentina Avati:
A Serverless Engine for High Energy Physics Distributed Analysis. 575-584 - Mario Colosi, Francesco Martella, Giovanni Parrino, Antonio Celesti, Maria Fazio, Massimo Villari:
Time Series Data Management Optimized for Smart City Policy Decision. 585-594 - André Merzky, Matteo Turilli, Shantenu Jha:
RAPTOR: Ravenous Throughput Computing. 595-604 - Margaret Lawson, William Gropp, Jay F. Lofstead:
Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC. 605-614 - Thaleia Dimitra Doudali, Ada Gavrilovska:
Coeus: Clustering (A)like Patterns for Practical Machine Intelligent Hybrid Memory Management. 615-624 - Kaiyue Duan, Yusen Li, Gang Wang, Xiaoguang Liu:
Improving Server Re-Consolidation for Datacenters via Resource Exchange and Load Adjustment. 635-644 - Zhaoyu Gan, Rongheng Lin, Hua Zou:
A Multi-Agent Deep Reinforcement Learning Approach for Computation Offloading in 5G Mobile Edge Computing. 645-648 - Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu, Dan Pei:
Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems. 655-664 - Afaf Arfaoui, Rachid Elazouzi, Francesco De Pellegrini, Cédric Richier, Jeremie Leguay:
ELITE: Near-Optimal Heuristics for Coflow Scheduling. 665-674 - Holger Brunst, Sunita Chandrasekaran, Florina M. Ciorba, Nick Hagerty, Robert Henschel, Guido Juckeland, Junjie Li, Verónica G. Melesse Vergara, Sandra Wienke, Miguel Zavala:
First Experiences in Performance Benchmarking with the New SPEChpc 2021 Suites. 675-684 - Yue Weng, Tianao Ge, Xi Zhang, Xianwei Zhang, Yutong Lu:
RAISE: Efficient GPU Resource Management via Hybrid Scheduling. 685-695 - Hadeel Albahar, Shruti Dongare, Yanlin Du, Nannan Zhao, Arnab Kumar Paul, Ali Raza Butt:
SchedTune: A Heterogeneity-Aware GPU Scheduler for Deep Learning. 695-705 - Huanyi Qin, Zongpai Zhang, Bo Yan, Madhusudhan Govindaraju, Kenneth Chiu:
QSketch: GPU-Aware Probabilistic Sketch Data Structures. 706-715 - Shilpika, Bethany Lusch, Murali Emani, Filippo Simini, Venkatram Vishwanath, Michael E. Papka, Kwan-Liu Ma:
Toward an In-Depth Analysis of Multifidelity High Performance Computing Systems. 716-725 - Yitong Guan, Xueyan Tang:
On Task Assignment and Scheduling for Distributed Job Execution. 726-735 - Alexandre Denis, Julien Jaeger, Emmanuel Jeannot, Florian Reynier:
One core dedicated to MPI nonblocking communication progression? A model to assess whether it is worth it. 736-746 - Thomas Lambert, Shadi Ibrahim, Twinkle Jain, David Guyon:
Stragglers' Detection in Big Data Analytic Systems: The Impact of Heartbeat Arrival. 747-751 - Marek Janiszewski, Marcin Rytel, Piotr Lewandowski, Hubert Romanowski:
VARIoT - Vulnerability and Attack Repository for the Internet of Things. 752-755 - Francesco Minna, Fabio Massacci:
An Open-Source Cloud Testbed for Security Experimentation. 756-759 - Tobias Pfandzelter, Trever Schirmer, David Bermbach:
Towards Distributed Coordination for Fog Platforms. 760-762 - Matteo Repetto, Armend Duzha, Joanna Kolodziej:
A cybersecurity framework to guarantee reliability and trust for digital service chains - GUARD. 763-766 - Parwat Singh Anjana, Adithya Rajesh Chandrassery, Sathya Peri:
An Efficient Approach to Move Elements in a Distributed Geo-Replicated Tree. 767-770 - Yukun Zhou, Dezun Dong, Zhengbin Pang, Junhong Ye, Feng Jin:
ERA: ECN-Ratio-Based Congestion Control in Datacenter Networks. 771-774 - Christian Sicari, Alessio Catalfamo, Antonino Galletta, Massimo Villari:
A Distributed Peer to Peer Identity and Access Management for the Osmotic Computing. 775-781 - Jakob Sternby, Björn Johansson, Michael Liljenstam:
Neural Network Model Obfuscation through Adversarial Training. 782-789 - Maha Shamseddine, Auday Al-Dulaimy, Wassim Itani, Thomas Nolte, Alessandro V. Papadopoulos:
Nodeguard: A Virtualized Introspection Security Approach for the Modern Cloud Data Center. 790-797 - Alessandro Bocci, Stefano Forti, Gian-Luigi Ferrari, Antonio Brogi:
Type, pad, and place: Avoiding data leaks in Cloud-IoT FaaS orchestrations. 798-805 - Chenyang Nie, Paulo Gustavo Quinan, Issa Traoré, Isaac Woungang:
Intrusion Detection using a Graphical Fingerprint Model. 806-813 - Piotr Macek, Daria Dziubaltowska, Bartosz Kusmierz, Radoslaw Michalski:
Improving Cellular Automata for Distributed Ledgers. 814-819 - Giuliano Laccetti, Marco Lapegna, Raffaele Montella:
Toward a high-performance clustering algorithm for securing edge computing environments. 820-825 - Ryan Tanaka, George Papadimitriou, Sai Charan Viswanath, Cong Wang, Eric Lyons, Komal Thareja, Chengyi Qu, Alicia Esquivel Morel, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink:
Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. 826-833 - Raffaele Montella, Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Marco Lapegna, Giuliano Laccetti, Sokol Kosta, Giulio Giunta:
Enabling the CUDA Unified Memory model in Edge, Cloud and HPC offloaded GPU kernels. 834-841 - Vasileios Mygdalis, Lorenzo Carnevale, José Ramiro Martinez de Dios, Dmitriy Shutin, Giovanni Aiello, Massimo Villari, Ioannis Pitas:
OTE: Optimal Trustworthy EdgeAI solutions for smart cities. 842-850 - Nicolas Ferry, Rustem Dautov, Hui Song:
Towards a Model-Based Serverless Platform for the Cloud-Edge-IoT Continuum. 851-858 - Angelo Marchese, Orazio Tomarchio:
Network-Aware Container Placement in Cloud-Edge Kubernetes Clusters. 859-865 - Marta Rózanska, Katarzyna Karnas, Geir Horn:
A Supervised Learning Solver for Proactive Optimization of Cross-Cloud Applications. 866-871 - Jacques Tene Koyazo, Antonio Celesti, Massimo Villari, Aimé Lay-Ekuakille, Maria Fazio:
Collaborative Edge Computing to Bring Microservices in Smart Rural Areas. 872-878 - Yannis Sfakianakis, Manolis Marazakis, Christos Kozanitis, Angelos Bilas:
LatEst: Vertical elasticity for millisecond serverless execution. 879-885 - Muhammed Golec, Deepraj Chowdhury, Shivam Jaglan, Sukhpal Singh Gill, Steve Uhlig:
AIBLOCK: Blockchain based Lightweight Framework for Serverless Computing using AI. 886-892 - Yash Jangir, Rohan Kumar, Nrupesh Surya U, Manik Mahajan, Vinayak Naik:
A Cloud-based Architecture using Micro-services for the IoT-based Applications. 893-898 - Bahareh Rahmatikargar, Pooya Moradian Zadeh, Ziad Kobti:
Social Isolation Detection in Palliative Care using Social Network Analysis. 905-912 - Mariacarla Staffa, Lorenzo D'Errico, Roberta Ricciardi, Paola Barra, Elena Antignani, Salvatore Minelli, Giovanni Mettivier:
How to increase and balance current DBT datasets via an Evolutionary GAN: preliminary results. 913-920 - Valerio Restocchi, Jorge Gaete-Villegas, Jacques D. Fleuriot:
Multimorbidity profiles and stochastic block modeling improve ICU patient clustering. 925-932 - Daniele Scapin, Giulia Cisotto, Elvina Gindullina, Leonardo Badia:
Shapley Value as an Aid to Biomedical Machine Learning: a Heart Disease Dataset Analysis. 933-939 - Robson Aleixo, Fabio Kon, Rudi Rocha, Marcela Santos Camargo, Raphael Y. de Camargo:
Predicting Dengue Outbreaks with Explainable Machine Learning. 940-947 - Maria Gabriela Valeriano, Carlos Roberto Veiga Kiffer, Giane Higino, Paloma Zanão, Dulce A. Barbosa, Patrícia A. Moreira, Paulo Caleb J. L. Santos, Renato Grinbaum, Ana Carolina Lorena:
Let the data speak: analysing data from multiple health centers of the São Paulo metropolitan area for COVID-19 clinical deterioration prediction. 948-951 - Dongfeng Du, Tao Ren, Chen Chen, Yiran Jiang, Guangying Song, Qingfeng Li, Jianwei Niu:
Anatomical Landmarks Annotation on 2D Lateral Cephalograms with Channel Attention. 952-957 - Davide Mulfari, Antonio Celesti, Massimo Villari:
Exploring AI-based Speaker Dependent Methods in Dysarthric Speech Recognition. 958-964 - Hendrik Nolte, Simon Hernan Sarmiento Sabater, Tim Ehlers, Julian Kunkel:
A Secure Workflow for Shared HPC Systems. 965-974 - Mathialakan Thavappiragasam, Wael R. Elwasif, Ada Sedova:
Portability for GPU-accelerated molecular docking applications for cloud and HPC: can portable compiler directives provide performance across all platforms? 975-984 - Genaro Sanchez-Gallegos, Dante D. Sánchez-Gallegos, José Luis González Compeán, Jesús Carretero:
On the building of self-adaptable systems to efficiently manage medical data. 985-992 - Javier García-Blas, Pablo Brox, Manuel Desco, Mónica Abella:
Multi-bed stitching tool for 3D computed tomography accelerated by GPU devices. 993-998 - Miguel Guzmán-Merino, Maria-Cristina V. Marinescu, David E. Singh:
Evaluating the spread of Omicron COVID-19 variant in Spain. 999-1006 - Rosa Filgueira, Feras M. Awaysheh, Adam C. Carter, Darren J. White, Omer F. Rana:
SparkFlow: Towards High-Performance Data Analytics for Spark-based Genome Analysis. 1007-1016 - Christoph Jansen, Klaus Strohmenger, Daniel Romberg, Tobias Küster,