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ORCID19th CCGRID 2019: Larnaca, Cyprus
- 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2019, Larnaca, Cyprus, May 14-17, 2019. IEEE 2019, ISBN 978-1-7281-0912-1
CCGrid 2019: The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing
Scheduling and Resource Management I
- Danilo Carastan-Santos
, Raphael Y. de Camargo, Denis Trystram, Salah Zrigui:
One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study. 1-10 - Romolo Marotta, Mauro Ianni, Andrea Scarselli, Alessandro Pellegrini, Francesco Quaglia:
NBBS: A Non-Blocking Buddy System for Multi-core Machines. 11-20 - Shouwei Chen, Wensheng Wang, Xueyang Wu, Zhen Fan, Kunwu Huang, Peiyu Zhuang, Yue Li, Ivan Rodero, Manish Parashar, Dennis Z. Weng:
Optimizing Performance and Computing Resource Management of In-memory Big Data Analytics with Disaggregated Persistent Memory. 21-30
Programming Models and Runtime Systems I
- Aurélien Cavelan, Rubén M. Cabezón, Florina M. Ciorba:
Detection of Silent Data Corruptions in Smoothed Particle Hydrodynamics Simulations. 31-40 - Xin Yao, Cho-Li Wang, Mingzhe Zhang:
EC-Shuffle: Dynamic Erasure Coding Optimization for Efficient and Reliable Shuffle in Spark. 41-51 - Kai Keller, Leonardo Bautista-Gomez:
Application-Level Differential Checkpointing for HPC Applications with Dynamic Datasets. 52-61
SCALE Challenge
- Lin Gan, Jingheng Xu, Xin Wang, Sihai Wu, Xiaohui Duan, Yuxuan Li, Haohuan Fu, Guangwen Yang:
Million-Core-Scalable Simulation of the Elastic Migration Algorithm on Sunway TaihuLight Supercomputer. 62-69 - Qingye Jiang, Young Choon Lee, Albert Y. Zomaya:
Scalable Video Transcoding in Public Clouds. 70-75 - Aakash Khochare, Sheshadri K. R, Shriram R., Yogesh Simmhan:
Dynamic Scaling of Video Analytics for Wide-Area Tracking in Urban Spaces. 76-81
Storage and I/O Systems
- Hariharan Devarajan, Anthony Kougkas, Xian-He Sun:
An Intelligent, Adaptive, and Flexible Data Compression Framework. 82-91 - Mahmoud Ismail, Mikael Ronström, Seif Haridi, Jim Dowling:
ePipe: Near Real-Time Polyglot Persistence of HopsFS Metadata. 92-101 - Teng Wang, Suren Byna, Glenn K. Lockwood, Shane Snyder, Philip H. Carns, Sunggon Kim, Nicholas J. Wright:
A Zoom-in Analysis of I/O Logs to Detect Root Causes of I/O Performance Bottlenecks. 102-111 - Raúl Gracia Tinedo, Marc Sánchez Artigas, Pedro García López, Yosef Moatti, Filip Gluszak:
Lamda-Flow: Automatic Pushdown of Dataflow Operators Close to the Data. 112-121
Performance Modeling and Evaluation
- Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster:
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. 122-131 - Nathanaël Cheriere, Matthieu Dorier, Gabriel Antoniu:
Is it Worth Relaxing Fault Tolerance to Speed Up Decommission in Distributed Storage Systems? 132-141 - Lucas Leandro Nesi, Samuel Thibault, Luka Stanisic, Lucas Mello Schnorr:
Visual Performance Analysis of Memory Behavior in a Task-Based Runtime on Hybrid Platforms. 142-146 - Pedro Bruel, Steven Quinito Masnada, Brice Videau, Arnaud Legrand, Jean-Marc Vincent, Alfredo Goldman:
Autotuning Under Tight Budget Constraints: A Transparent Design of Experiments Approach. 147-156
Doctoral Symposium
- Maximilian Hanussek, Felix Bartusch, Jens Krüger, Oliver Kohlbacher:
BOOTABLE: Bioinformatics Benchmark Tool Suite. 157-160 - Felix Bartusch, Maximilian Hanussek, Jens Krüger, Oliver Kohlbacher:
Reproducible Scientific Workflows for High Performance and Cloud Computing. 161-164 - Vipin Deval, Alex Norta:
Mobile Smart-Contract Lifecycle Governance with Incentivized Proof-of-Stake for Oligopoly-Formation Prevention. 165-168 - Huu-Phuc Vo:
Towards Efficient Solvers for Optimisation Problems. 169-172 - Miodrag Bolic, Shikharesh Majumdar:
A Performance Driven Micro Services-Based Architecture/System for Analyzing Noisy IoT Data. 173-177
Cloud Computing I
- Victor Hugo Santiago C. Pinto, Simone R. S. Souza, Paulo S. L. Souza:
A Preliminary Fault Taxonomy for Multi-tenant SaaS Systems. 178-187 - Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari:
Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment. 188-197 - Abhinandan S. Prasad, Mayutan Arumaithurai, David Koll, Xiaoming Fu:
DMC: A Differential Marketplace for Cloud Resources. 198-209
Architecture & Networking I
- Matthew G. F. Dosanjh, Whit Schonbein, Ryan E. Grant, Patrick G. Bridges, S. Mahdieh Ghazimirsaeed, Ahmad Afsahi:
Fuzzy Matching: Hardware Accelerated MPI Communication Middleware. 210-220 - Jose Rocher-Gonzalez, Jesús Escudero-Sahuquillo, Pedro Javier García, Francisco José Quiles Flor, Gaspar Mora:
Efficient Congestion Management for High-Speed Interconnects using Adaptive Routing. 221-230 - Yusuke Nagasaka, Akira Nukada, Ryosuke Kojima, Satoshi Matsuoka:
Batched Sparse Matrix Multiplication for Accelerating Graph Convolutional Networks. 231-240
Autonomic Computing, Datacenters, and Cyberinfrastructure
- Sasho Nedelkoski, Jorge Cardoso, Odej Kao:
Anomaly Detection and Classification using Distributed Tracing and Deep Learning. 241-250 - Yi Liang, Linfeng Bi, Xing Su:
Missing Data Recovery in Large-Scale, Sparse Datacenter Traces: An Alibaba Case Study. 251-261 - Batyr Charyyev, Ahmed Alhussen, Hemanta Sapkota, Eric Pouyoul, Mehmet Hadi Gunes, Engin Arslan:
Towards Securing Data Transfers Against Silent Data Corruption. 262-271
Cloud Computing II
- Soamar Homsi, Gang Quan, Wujie Wen, Gustavo A. Chaparro-Baquero, Laurent Njilla:
Game Theoretic-Based Approaches for Cybersecurity-Aware Virtual Machine Placement in Public Cloud Clusters. 272-281 - Gabriel Aumala, Edwin F. Boza, Luis Ortiz-Avilés, Gustavo Totoy, Cristina L. Abad:
Beyond Load Balancing: Package-Aware Scheduling for Serverless Platforms. 282-291 - Meng Zhou, Weigang Wu, Zhiguang Chen, Nong Xiao:
SMR-X: Flexible Parallel State Machine Replication for Cloud Computing. 292-301
Scheduling and Resource Management II
- Christos Kalogirou, Panos K. Koutsovasilis, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Srikumar Venugopal, Christian Pinto:
Exploiting CPU Voltage Margins to Increase the Profit of Cloud Infrastructure Providers. 302-311 - Olubisi Runsewe, Nancy Samaan:
CRAM: a Container Resource Allocation Mechanism for Big Data Streaming Applications. 312-320 - Leah E. Lackner, Hamid Mohammadi Fard, Felix Wolf:
Efficient Job Scheduling for Clusters with Shared Tiered Storage. 321-330 - Alessio Pagliari, Fabrice Huet, Guillaume Urvoy-Keller:
On the Cost of Acking in Data Stream Processing Systems. 331-340
Programming Models and Runtime Systems II
- Chanh Nguyen Le Tan, Cristian Klein, Erik Elmroth:
Multivariate LSTM-Based Location-Aware Workload Prediction for Edge Data Centers. 341-350 - Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, Hyeonsang Eom:
DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems. 351-360 - Engin Kayraklioglu, Erwan Favry, Tarek A. El-Ghazawi:
A Machine Learning Approach for Productive Data Locality Exploitation in Parallel Computing Systems. 361-370 - Alexandre Denis:
Scalability of the NewMadeleine Communication Library for Large Numbers of MPI Point-to-Point Requests. 371-380
Scheduling and Resource Management III
- Luis Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo:
Real-Time Scheduling Policy Selection from Queue and Machine States. 381-390 - Wenbin Jiang, Geyan Ye, Laurence T. Yang, Jian Zhu, Yang Ma, Xia Xie, Hai Jin:
A Novel Stochastic Gradient Descent Algorithm Based on Grouping over Heterogeneous Cluster Systems for Distributed Deep Learning. 391-398 - Abel Souza, Mohamad Rezaei, Erwin Laure, Johan Tordsson:
Hybrid Resource Management for HPC and Data Intensive Workloads. 399-409
Architecture & Networking II
- Jahanzeb Maqbool Hashmi, Sourav Chakraborty, Mohammadreza Bayatpour, Hari Subramoni, Dhabaleswar K. Panda:
Design and Characterization of Shared Address Space MPI Collectives on Modern Architectures. 410-419 - Haoran Cai, Qiang Cao, Feng Sheng, Yang Yang, Changsheng Xie, Liang Xiao:
ESprint: QoS-Aware Management for Effective Computational Sprinting in Data Centers. 420-429 - Yuichiro Ueno, Rio Yokota:
Exhaustive Study of Hierarchical AllReduce Patterns for Large Messages Between GPUs. 430-439
Applications and Data Science
- Onno Valkering, Adam Belloum:
Privacy-Preserving Record Linkage with Spark. 440-448 - Valérie Hayot-Sasson, Shawn T. Brown, Tristan Glatard:
Performance Evaluation of Big Data Processing Strategies for Neuroimaging. 449-458 - Eduard Gibert Renart, Alexandre Da Silva Veith, Daniel Balouek-Thomert, Marcos Dias de Assunção, Laurent Lefèvre, Manish Parashar:
Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources. 459-468
Edge Computing
- Anas Toma, Juri Wenner, Jan Eric Lenssen, Jian-Jia Chen:
Adaptive Quality Optimization of Computer Vision Tasks in Resource-Constrained Devices using Edge Computing. 469-477 - Ali J. Fahs, Guillaume Pierre:
Proximity-Aware Traffic Routing in Distributed Fog Computing Platforms. 478-487 - Mingzhe Du, Yang Wang, Cheng-Zhong Xu:
On Cost-Driven Computation Offloading in the Edge: A New Model Approach. 488-497 - Ammar Ahmad Awan, Jeroen Bédorf, Ching-Hsiang Chu, Hari Subramoni, Dhabaleswar K. Panda:
Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation. 498-507
HPML 2019: 2nd High Performance Machine Learning Workshop
- Vibhatha Lakmal Abeykoon, Geoffrey Charles Fox, Minje Kim:
Performance Optimization on Model Synchronization in Parallel Stochastic Gradient Descent Based SVM. 508-517 - Or Dinari, Angel Yu, Oren Freifeld, John W. Fisher III:
Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. 518-525 - Guillem Ramirez-Gargallo, Marta Garcia-Gasulla, Filippo Mantovani:
TensorFlow on State-of-the-Art HPC Clusters: A Machine Learning use Case. 526-533 - Adrián Castelló, Manuel F. Dolz, Enrique S. Quintana-Ortí, José Duato:
Theoretical Scalability Analysis of Distributed Deep Convolutional Neural Networks. 534-541 - Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong:
An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. 542-548 - Brendan Sullivan, Rick Archibald, Venu Vandavasi, Patricia Langan, Leighton Coates, Vickie Lynch:
Volumetric Segmentation via Neural Networks Improves Neutron Crystallography Data Analysis. 549-555
DBDM 2019: 4th IEEE/ACM International Workshop on Distributed Big Data Management
- Alfredo Cuzzocrea:
Effective and Efficient Big Data Management in Distributed Environments: Models, Issues, and Research Perspectives. 556-560 - Tobi Ajila, Shikharesh Majumdar:
Data Driven Priority Scheduling on a Spark Streaming System. 561-568 - Apostolos N. Papadopoulos, Spyros Sioutas, Christos D. Zaroliagis, Nikolaos Zacharatos:
Efficient Distributed Range Query Processing in Apache Spark. 569-575 - Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, Salman Toor:
Adapting the Secretary Hiring Problem for Optimal Hot-Cold Tier Placement Under Top-K Workloads. 576-583 - Peter Braun, Alfredo Cuzzocrea, Carson K. Leung, Adam G. M. Pazdor, Joglas Souza, Syed Khairuzzaman Tanbeer:
Pattern Mining from big IoT Data with fog Computing: Models, Issues, and Research Perspectives. 584-591
NEAC 2019: International Workshop on Network-Aware Big Data Computing
- Yang Hu, Cees T. A. M. de Laat, Zhiming Zhao:
Multi-objective Container Deployment on Heterogeneous Clusters. 592-599 - Qingzhi Liu, Long Cheng, Tanir Ozcelebi, John Murphy, Johan Lukkien:
Deep Reinforcement Learning for IoT Network Dynamic Clustering in Edge Computing. 600-603 - Mukhtiar Bano, Umar Ahmad Qureshi, Rao Naveed Bin Rais, Mudassir Tufail, Amir Qayyum:
Miracle: An Agile Colocation Platform for Enabling XaaS Cloud Architecture. 604-610
CCGrid-Life 2019: Workshop on Clusters, Clouds and Grids for Life Sciences
- Fatima-Zahra Boujdad, Alban Gaignard, Mario Südholt, Wilmer Garzón Alfonso, Luis Daniel Benavides Navarro, Richard Redon:
On Distributed Collaboration for Biomedical Analyses. 611-620 - Christoph Jansen, Bruno Schilling, Klaus Strohmenger, Michael Witt, Jonas Annuscheit, Dagmar Krefting:
Reproducibility and Performance of Deep Learning Applications for Cancer Detection in Pathological Images. 621-630 - Javier García Blas, David del Rio Astorga, Javier Daniel Garcia, Jesús Carretero:
Exploiting Stream Parallelism of MRI Reconstruction Using GrPPI over Multiple Back-Ends. 631-637 - 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:
Towards a Science Gateway for Bioinformatics: Experiences in the Brazilian System of High Performance Computing. 638-647 - Ying Hu, Richard O. Sinnott:
Big Data Analytics Exploration of Green Space and Mental Health in Melbourne. 648-657 - Maxime Chauvin, Gilles Mathieu, Sorina Camarasu-Pop, Axel Bonnet, Manuel Bardies, Isabelle Perseil:
Enabling Large Scale Data Production for OpenDose with GATE on the EGI Infrastructure. 658-665
CrossCloud 2019: The 6th Workshop on CrossCloud Infrastructures & Platforms
- Abdessalam Elhabbash, Yehia Elkhatib, Gordon S. Blair, Yuhui Lin, Adam Barker:
A Framework for SLO-driven Cloud Specification and Brokerage. 666-667 - Stefan Nothaas, Kevin Beineke, Michael Schöttner:
Optimized Memory Management for a Java-Based Distributed In-memory System. 668-677 - Oleksii Serhiienko, Panagiotis Gkikopoulos, Josef Spillner:
Extensible Declarative Management of Cloud Resources across Providers. 678-683 - Kyriakos Kritikos, Manos Papoutsakis, Sotiris Ioannidis, Kostas Magoutis:
Towards Configurable Cloud Application Security. 684-689 - Yehia Elkhatib, Faiza Samreen, Gordon S. Blair:
Same Same, but Different: A Descriptive Intra-IaaS Differentiation. 690-695 - Hiroki Naganuma, Rio Yokota:
A Performance Improvement Approach for Second-Order Optimization in Large Mini-batch Training. 696-703
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