CCGRID B

82 papers

YearTitle / Authors
201919th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2019, Larnaca, Cyprus, May 14-17, 2019
2019A Framework for SLO-driven Cloud Specification and Brokerage.
Abdessalam Elhabbash, Yehia Elkhatib, Gordon S. Blair, Yuhui Lin, Adam Barker
2019A Machine Learning Approach for Productive Data Locality Exploitation in Parallel Computing Systems.
Engin Kayraklioglu, Erwan Favry, Tarek A. El-Ghazawi
2019A Novel Stochastic Gradient Descent Algorithm Based on Grouping over Heterogeneous Cluster Systems for Distributed Deep Learning.
Wenbin Jiang, Geyan Ye, Laurence T. Yang, Jian Zhu, Yang Ma, Xia Xie, Hai Jin
2019A Performance Driven Micro Services-Based Architecture/System for Analyzing Noisy IoT Data.
Miodrag Bolic, Shikharesh Majumdar
2019A Performance Improvement Approach for Second-Order Optimization in Large Mini-batch Training.
Hiroki Naganuma, Rio Yokota
2019A Preliminary Fault Taxonomy for Multi-tenant SaaS Systems.
Victor Hugo Santiago C. Pinto, Simone R. S. Souza, Paulo S. L. Souza
2019A Zoom-in Analysis of I/O Logs to Detect Root Causes of I/O Performance Bottlenecks.
Teng Wang, Suren Byna, Glenn K. Lockwood, Shane Snyder, Philip H. Carns, Sunggon Kim, Nicholas J. Wright
2019Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads.
Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor
2019Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing.
Anas Toma, Juri Wenner, Jan Eric Lenssen, Jian-Jia Chen
2019An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale.
Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong
2019An Intelligent, Adaptive, and Flexible Data Compression Framework.
Hariharan Devarajan, Anthony Kougkas, Xian-He Sun
2019Anomaly Detection and Classification using Distributed Tracing and Deep Learning.
Sasho Nedelkoski, Jorge Cardoso, Odej Kao
2019Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets.
Kai Keller, Leonardo Bautista-Gomez
2019Autotuning Under Tight Budget Constraints: A Transparent Design of Experiments Approach.
Pedro Bruel, Steven Quinito Masnada, Brice Videau, Arnaud Legrand, Jean-Marc Vincent, Alfredo Goldman
2019BOOTABLE: Bioinformatics Benchmark Tool Suite.
Maximilian Hanussek, Felix Bartusch, Jens Krüger, Oliver Kohlbacher
2019Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks.
Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka
2019Beyond Load Balancing: Package-Aware Scheduling for Serverless Platforms.
Gabriel Aumala, Edwin F. Boza, Luis Ortiz-Avilés, Gustavo Totoy, Cristina L. Abad
2019Big Data Analytics Exploration of Green Space and Mental Health in Melbourne.
Ying Hu, Richard O. Sinnott
2019CRAM: a Container Resource Allocation Mechanism for Big Data Streaming Applications.
Olubisi Runsewe, Nancy Samaan
2019DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems.
Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, Hyeonsang Eom
2019DMC: A Differential Marketplace for Cloud Resources.
Abhinandan S. Prasad, Mayutan Arumaithurai, David Koll, Xiaoming Fu
2019Data Driven Priority Scheduling on a Spark Streaming System.
Tobi Ajila, Shikharesh Majumdar
2019Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations.
Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster
2019Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing.
Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien
2019Design and Characterization of Shared Address Space MPI Collectives on Modern Architectures.
Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda
2019Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations.
Aurélien Cavelan, Rubén M. Cabezón, Florina M. Ciorba
2019Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia.
Or Dinari, Angel Yu, Oren Freifeld, John W. Fisher III
2019Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources.
Eduard Gibert Renart, Alexandre da Silva Veith, Daniel Balouek-Thomert, Marcos Dias de Assunção, Laurent Lefèvre, Manish Parashar
2019Dynamic Scaling of Video Analytics for Wide-Area Tracking in Urban Spaces.
Aakash Khochare, Sheshadri K. R, Shriram R., Yogesh Simmhan
2019EC-Shuffle: Dynamic Erasure Coding Optimization for Efficient and Reliable Shuffle in Spark.
Xin Yao, Cho-Li Wang, Mingzhe Zhang
2019ESprint: QoS-Aware Management for Effective Computational Sprinting in Data Centers.
Haoran Cai, Qiang Cao, Feng Sheng, Yang Yang, Changsheng Xie, Liang Xiao
2019Effective and Efficient Big Data Management in Distributed Environments: Models, Issues, and Research Perspectives.
Alfredo Cuzzocrea
2019Efficient Congestion Management for High-Speed Interconnects using Adaptive Routing.
Jose Rocher-Gonzalez, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco José Quiles Flor, Gaspar Mora
2019Efficient Distributed Range Query Processing in Apache Spark.
Apostolos N. Papadopoulos, Spyros Sioutas, Christos D. Zaroliagis, Nikolaos Zacharatos
2019Efficient Job Scheduling for Clusters with Shared Tiered Storage.
Leah E. Lackner, Hamid Mohammadi Fard, Felix Wolf
2019Enabling Large Scale Data Production for OpenDose with GATE on the EGI Infrastructure.
Maxime Chauvin, Gilles Mathieu, Sorina Camarasu-Pop, Axel Bonnet, Manuel Bardies, Isabelle Perseil
2019Exhaustive Study of Hierarchical AllReduce Patterns for Large Messages Between GPUs.
Yuichiro Ueno, Rio Yokota
2019Exploiting CPU Voltage Margins to Increase the Profit of Cloud Infrastructure Providers.
Christos Kalogirou, Panos K. Koutsovasilis, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Srikumar Venugopal, Christian Pinto
2019Exploiting Stream Parallelism of MRI Reconstruction Using GrPPI over Multiple Back-Ends.
Javier García Blas, David del Rio Astorga, Javier Daniel Garcia, Jesús Carretero
2019Extensible Declarative Management of Cloud Resources across Providers.
Oleksii Serhiienko, Panagiotis Gkikopoulos, Josef Spillner
2019Fuzzy Matching: Hardware Accelerated MPI Communication Middleware.
Matthew G. F. Dosanjh, Whit Schonbein, Ryan E. Grant, Patrick G. Bridges, S. Mahdieh Ghazimirsaeed, Ahmad Afsahi
2019Game Theoretic-Based Approaches for Cybersecurity-Aware Virtual Machine Placement in Public Cloud Clusters.
Soamar Homsi, Gang Quan, Wujie Wen, Gustavo A. Chaparro-Baquero, Laurent Njilla
2019Hybrid Resource Management for HPC and Data Intensive Workloads.
Abel Souza, Mohamad Rezaei, Erwin Laure, Johan Tordsson
2019Is it Worth Relaxing Fault Tolerance to Speed Up Decommission in Distributed Storage Systems?
Nathanaël Cheriere, Matthieu Dorier, Gabriel Antoniu
2019Lamda-Flow: Automatic Pushdown of Dataflow Operators Close to the Data.
Raúl Gracia Tinedo, Marc Sánchez Artigas, Pedro García López, Yosef Moatti, Filip Gluszak
2019Million-Core-Scalable Simulation of the Elastic Migration Algorithm on Sunway TaihuLight Supercomputer.
Lin Gan, Jingheng Xu, Xin Wang, Sihai Wu, Xiaohui Duan, Yuxuan Li, Haohuan Fu, Guangwen Yang
2019Miracle: An Agile Colocation Platform for Enabling XaaS Cloud Architecture.
Mukhtiar Bano, Umar Ahmad Qureshi, Rao Naveed Bin Rais, Mudassir Tufail, Amir Qayyum
2019Missing Data Recovery in Large-Scale, Sparse Datacenter Traces: An Alibaba Case Study.
Yi Liang, Linfeng Bi, Xing Su
2019Mobile Smart-Contract Lifecycle Governance with Incentivized Proof-of-Stake for Oligopoly-Formation Prevention.
Vipin Deval, Alex Norta
2019Multi-objective Container Deployment on Heterogeneous Clusters.
Yang Hu, Cees T. A. M. de Laat, Zhiming Zhao
2019Multivariate LSTM-Based Location-Aware Workload Prediction for Edge Data Centers.
Chanh Nguyen, Cristian Klein, Erik Elmroth
2019NBBS: A Non-Blocking Buddy System for Multi-core Machines.
Romolo Marotta, Mauro Ianni, Andrea Scarselli, Alessandro Pellegrini, Francesco Quaglia
2019On Cost-Driven Computation Offloading in the Edge: A New Model Approach.
Mingzhe Du, Yang Wang, Cheng-Zhong Xu
2019On Distributed Collaboration for Biomedical Analyses.
Fatima-Zahra Boujdad, Alban Gaignard, Mario Südholt, Wilmer Garzón Alfonso, Luis Daniel Benavides Navarro, Richard Redon
2019On the Cost of Acking in Data Stream Processing Systems.
Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller
2019One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study.
Danilo Carastan-Santos, Raphael Y. de Camargo, Denis Trystram, Salah Zrigui
2019Optimized Memory Management for a Java-Based Distributed In-memory System.
Stefan Nothaas, Kevin Beineke, Michael Schöttner
2019Optimizing Performance and Computing Resource Management of In-memory Big Data Analytics with Disaggregated Persistent Memory.
Shouwei Chen, Wensheng Wang, Xueyang Wu, Zhen Fan, Kunwu Huang, Peiyu Zhuang, Yue Li, Ivan Rodero, Manish Parashar, Dennis Z. Weng
2019Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives.
Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed Khairuzzaman Tanbeer
2019Performance Evaluation of Big Data Processing Strategies for Neuroimaging.
Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard
2019Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM.
Vibhatha Lakmal Abeykoon, Geoffrey Charles Fox, Minje Kim
2019Privacy-Preserving Record Linkage with Spark.
Onno Valkering, Adam Belloum
2019Proximity-Aware Traffic Routing in Distributed Fog Computing Platforms.
Ali J. Fahs, Guillaume Pierre
2019Real-Time Scheduling Policy Selection from Queue and Machine States.
Luis Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo
2019Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images.
Christoph Jansen, Bruno Schilling, Klaus Strohmenger, Michael Witt, Jonas Annuscheit, Dagmar Krefting
2019Reproducible Scientific Workflows for High Performance and Cloud Computing.
Felix Bartusch, Maximilian Hanussek, Jens Krüger, Oliver Kohlbacher
2019SMR-X: Flexible Parallel State Machine Replication for Cloud Computing.
Meng Zhou, Weigang Wu, Zhiguang Chen, Nong Xiao
2019Same Same, but Different: A Descriptive Intra-IaaS Differentiation.
Yehia Elkhatib, Faiza Samreen, Gordon S. Blair
2019Scalability of the NewMadeleine Communication Library for Large Numbers of MPI Point-to-Point Requests.
Alexandre Denis
2019Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation.
Ammar Ahmad Awan, Jeroen Bédorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda
2019Scalable Video Transcoding in Public Clouds.
Qingye Jiang, Young Choon Lee, Albert Y. Zomaya
2019TensorFlow on State-of-the-Art HPC Clusters: A Machine Learning use Case.
Guillem Ramirez-Gargallo, Marta Garcia-Gasulla, Filippo Mantovani
2019Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks.
Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato
2019Towards Configurable Cloud Application Security.
Kyriakos Kritikos, Manos Papoutsakis, Sotiris Ioannidis, Kostas Magoutis
2019Towards Efficient Solvers for Optimisation Problems.
Huu-Phuc Vo
2019Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment.
Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari
2019Towards Securing Data Transfers Against Silent Data Corruption.
Batyr Charyyev, Ahmed Alhussen, Hemanta Sapkota, Eric Pouyoul, Mehmet Hadi Gunes, Engin Arslan
2019Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing.
Kary Ann del Carmen Ocaña Gautherot, Marcelo Galheigo, Carla Osthoff, Luiz M. R. Gadelha Jr., Antônio Tadeu A. Gomes, Daniel de Oliveira, Fábio Porto, Ana Tereza Ribeiro de Vasconcelos
2019Visual Performance Analysis of Memory Behavior in a Task-Based Runtime on Hybrid Platforms.
Lucas Leandro Nesi, Samuel Thibault, Luka Stanisic, Lucas Mello Schnorr
2019Volumetric Segmentation via Neural Networks Improves Neutron Crystallography Data Analysis.
Brendan Sullivan, Rick Archibald, Venu Vandavasi, Patricia Langan, Leighton Coates, Vickie Lynch
2019ePipe: Near Real-Time Polyglot Persistence of HopsFS Metadata.
Mahmoud Ismail, Mikael Ronström, Seif Haridi, Jim Dowling