May 11-14, 2020, Melbourne, Victoria, Australia
Accepted paper list
 (main conference only)

1) M. Reza Hoseinyfarahabady, Ali Jannesari, Javid Taheri, Wei Bao, Albert Zomaya and Zahir Tari. Q-Flink: A QoS-Aware Resource Controller for Apache Flink
2) Jashwant Raj Gunasekaran, Michael Cui, Prashanth Thinakaran, Josh Simons, Mahmut Taylan Kandemir and Chitaranjan Das. Multiverse: Dynamic VM Provisioning for Virtualized High Performance Computing Clusters
3) Qiheng Zhou, Minxian Xu, Sukhpal Singh Gill, Chengxi Gao, Wenhong Tian, Chengzhong Xu and Rajkumar Buyya. Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations
4) Konstantinos Parasyris, Kai Keller, Leonardo Bautista Gomez and Osman Unsal. Checkpoint Restart Support for Heterogeneous HPC Applications
5) Josep Domingo-Ferrer, David Sanchez, Alberto Blanco-Justicia and Najeeb Jebreel. Co-Utile Peer-to-Peer Decentralized Computing
6) Kwangsung Oh, Abhishek Chandra and Jon Weissman. A Network Cost-aware Geo-distributed Data Analytics System
7) Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-Keng Liao, Ankit Agrawal, Alok Choudhary and Kesheng Wu. Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow
8) Hamza Djigal, Jun Feng and Jiamin Lu. Performance Evaluation of Security-aware List Scheduling Algorithms in IaaS Cloud
9) Kai Chen, Peter Kilpatrick, Dimitrios Nikolopoulos and Blesson Varghese. Cross Architectural Power Modelling
10) Siddhesh Singh and Edgar Gabriel. Parallel I/O on Compressed Data Files: Semantics, Algorithms, and Performance Evaluation
11) Seyed Morteza Nabavinejad, Lena Mashayekhy and Sherief Reda. ApproxDNN: Incentivizing DNN Approximation in Cloud
12) Zeming Hao and Jing Liu. GAN-ASD: Precise Software Aging State Detection for Android System Based on BEGAN Model and State Clustering
13) Minh Ngoc Dinh, Chien Vo Trung and David Abramson. Tracking scientific simulation using online time-series modelling
14) Sanjeev Sondur, Kenny Gross and Krishna Kant. Thermo-Mechanical Coupling Induced Performance Degradation in Storage Systems
15)Roger Pueyo Centelles, Mennan Selimi, Felix Freitag and Leandro Navarro. REDEMON: Resilient Decentralized Monitoring System for Edge Infrastructures
16) Mohamed Handaoui, Jean-Emile Dartois, Laurent Lemarchand and Jalil Boukhobza. Salamander: a Holistic Scheduling of MapReducejobs on Ephemeral Cloud Resources
17) Guillaume Fieni, Romain Rouvoy and Lionel Seinturier. SMARTWATTS: Self-Calibrating Software-Defined Power Meter for Containers
18) Hidehito Yabuuchi and Takahiro Shinagawa. Multi-resource Low-latency Cluster Scheduling without Execution Time Estimation
19) David Espinel, Adrien Lèbre, Lucas Nussbaum and Abdelhadi Chari. Multi-site Connectivity for Edge Infrastructures. DIMINET:DIstributed Module for Inter-site NETworking
20) Hanul Sung, Jiwoo Bang, Chungyong Kim, Hyung-Sin Kim, Alexander Sim, Glenn K. Locckwood and Hyeonsang Eom. BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription
21) Qichen Chen, Hyojeong Lee, Heonyoung Yeom and Yongseok Son. FlexGPU: A Flexible and Efficient Scheduler for GPU Sharing Systems
22) Shaojun Zhang, Wei Li, Chen Wang, Zahir Tari and Albert Zomaya. DyBatch: Efficient Batching and Fair Scheduling for Deep Learning Inference on Time-sharing Devices
23) Sarunya Pumma, Daniele Buono, Fabio Checconi, Xinyu Que and Wu-Chun Feng. Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning
24) Yoni Birman, Shaked Hindi, Gilad Katz and Asaf Shabtai. Cost-Effective Malware Detection as a Service Over Serverless Cloud Using Deep Reinforcement Learning
25) Uma Sankararao Varri, Syam Kumar Pasupuleti and Kv Kadambari. Key-Escrow Free Attribute-Based Multi-Keyword Search with Dynamic Policy Update in Cloud Computing
26) Qingye Jiang, Young Choon Lee and Albert Y. Zomaya. The Power of ARM64 in Public Clouds
27) Shashikant Ilager, Rajeev Muralidhar, Rammohanrao Kotagiri and Rajkumar Buyya. A Data-Driven Frequency Scaling Approach for Deadline-aware Energy Efficient Scheduling on GPUs
28) Guangming Cui, Qiang He, Xiaoyu Xia, Feifei Chen, Hai Jin and Yun Yang. Robustness-oriented k Edge Server Placement
29) Bing Li, Zhibin Zhang, Tianqi Zheng, Qiaoling Zhong, Qun Huang and Xueqi Cheng. Marabunta: Continuous Distributed Processing of Skewed Streams
31) Aymen Jlassi and Cedric Tedeschi. Merge, Split, and Cluster: Dynamic Deployment of Stream Processing Applications
32) Nathanael Cheriere, Matthieu Dorier, Gabriel Antoniu, Stefan M. Wild, Sven Leyffer and Robert Ross. Pufferscale: Rescaling HPC Data Services for High Energy Physics Applications
33) Issam Rais, Otto Anshus, John Markus Bjørndalen, Daniel Balouek-Thomert and Manish Parashar. Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications
34) Shriram Ramesh, Animesh Baranawal and Yogesh Simmhan. A Distributed Path Query Engine for Temporal Property Graphs
35) Bernard Ousmane Sane, Mandiocu Ba, Doudou Fall, Shigeru Kashihara, Yuzo Taenaka, Ibrahima Niang and Youki Kadobayashi. Solving the Interdependency Problem: A Secure Virtual Machine Allocation Method Relying on the Attacker's Efficiency and Coverage
36) Leonardo Rebouças de Carvalho and Aletéia Araújo. Performance Comparison of Terraform and Cloudify as Multicloud Orchestrators
37) Maverick Chardet, Helene Coullon and Christian Perez. Predictable Efficiency for Reconfiguration of Service-Oriented Systems with Concerto
38) Laszlo Toka, Gergely Dobreff, Balazs Fodor and Balázs Sonkoly. Adaptive AI-based auto-scaling for Kubernetes
39) Krzysztof Kurowski, Miłosz Ciżnicki and Jan Węglarz. Energy efficiency and performance modeling of stencil applications on manycore and GPU computing resources
40) Emile Cadorel, Helene Coullon and Jean-Marc Menaud. Online Multi-User Workflow Scheduling Algorithm for Fairness and Energy Optimization
41) Chinmaya Kumar Dehury and Satish Narayana Srirama. An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning
42) Atakan Aral, Rafael Brundo Uriarte, Anthony Simonet-Boulogne and Ivona Brandic. Reliability Management for Blockchain-Based Decentralized Multi-Cloud
43) Jia Guo and Gagan Agrawal. A Pattern-Based API for Mapping Applications to a Hierarchy of Multi-Core Devices
44) Tarek Elgamal and Klara Nahrstedt. Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves
45) Pengfei Zou, Ang Li, Kevin Barker and Rong Ge. Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems
46) Karim Youssef and Wu-Chun Feng. SparkLeBLAST: Scalable Parallelization of BLAST Sequence Alignment Using Spark
47) Alessio Pagliari, Fabrice Huet and Guillaume Urvoy-Keller. NAMB: A Quick and Flexible Stream Processing Application Prototype Generator
48) Philip Dexter, Bedri Sendir and Kenneth Chiu. Detecting and Reacting to Anomalies in Relaxed Uses of Raft
49) Zeina Houmani, Daniel Balouek-Thomert, Eddy Caron and Manish Parashar. Enhancing microservices architectures using data-driven discovery and QoS guarantees
50) Anirban Das, Shigeru Imai, Stacy Patterson and Mike Wittie. Performance Optimization for Edge-Cloud Serverless Platforms via Dynamic Task Placement
51) Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali R. Butt, Seung-Hwan Lim and Sudharshan S. Vazhkudai. MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems
52) Dong Zhong, Pavel Shamis, Qinglei Cao, George Bosilca, Jack Dongarra and Shinji Sumimoto. Using Arm Scalable Vector Extension to optimize Open MPI
53) Christos Kalogirou, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Lev Mukhanov and Georgios Karakonstantis. Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins
54) Bogdan Nicolae, Jiali Li, Justin Wozniak, George Bosilca, Matthieu Dorier and Franck Cappello. DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models
55) Bin Nie, Adwait Jog and Evgenia Smirni. Characterizing Accuracy-Aware Resilience of GPGPU Applications
56) Renuga Kanagavelu, Zengxiang Li, Juniarto Samsudin, Yechao Yang, Feng Yang, Rick Siow Mong Goh, Mervyn Cheah, Praewpiraya Wiwatphonthana, Khajonpong Akkarajitsakul and Shangguang Wang. Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated Learning
57) Mengqiang Chen, Zijie Yan, Jiangtao Ren and Weigang Wu. Standard Deviation Based Adaptive Gradient Compression For Distributed Deep Learning
58) Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq and Robert Ricci. In Datacenter Performance, The Only Constant Is Change
59) Valerie Hayot-Sasson, Shawn Brown and Tristan Glatard. Performance benefits of Intel Optane DC storage for the parallel processing of large neuroimaging data
60) Mohammadreza Bayatpour, Seyedeh Mahdieh Ghazimirsaeed, Shulei Xu, Hari Subramoni and Dhabaleswar K. Panda. Design and Characterization of Infiniband Hardware Tag Matching in MPI
61) Arnab K. Paul, Brian Wang, Nathan Rutman, Cory Spitz and Ali R. Butt. Efficient Metadata Indexing for HPC Storage Systems
62) Zhe Zhang. Trua: Efficient Task Replication for Flexible User-define Availability in Scientific Grids
63) Haodong Bian, Jianqiang Huang, Runting Dong, Lingbin Liu and Xiaoying Wang. CSR2: A New Format for SIMD-accelerated SpMV
64) Yaron Fairstein, Dor Harris, Joseph Naor and Danny Raz. NFV Placement in Resource-Scarce Edge Nodes
65) Md Azharul Islam and Sanjay Madria. A collusion-resistant revocable attribute-based encryption scheme for secure data sharing in cloud
66) Rashmi Sahay, Geethakumari G and Barsha Mitra. A Feedforward Neural Network based Model to Predict Sub-optimal Path Attack in IoT-LLNs
67) Boxiong Tan, Hui Ma and Yi Mei. An NSGA-II-based Approach for Multi-objective Micro-service Allocation in Container-based Clouds