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14th IEEE CLOUD 2021: Chicago, IL, USA
- Claudio Agostino Ardagna, Carl K. Chang, Ernesto Daminai, Rajiv Ranjan, Zhongjie Wang, Robert Ward, Jia Zhang, Wensheng Zhang:
14th IEEE International Conference on Cloud Computing, CLOUD 2021, Chicago, IL, USA, September 5-10, 2021. IEEE 2021, ISBN 978-1-6654-0060-2 - Wojciech Ozga, Do Le Quoc, Christof Fetzer:
TRIGLAV: Remote Attestation of the Virtual Machine's Runtime Integrity in Public Clouds. 1-12 - Christian Banse, Immanuel Kunz, Angelika Schneider, Konrad Weiss:
Cloud Property Graph: Connecting Cloud Security Assessments with Static Code Analysis. 13-19 - Manish Kesarwani, Akshar Kaul, Stefano Braghin
, Naoise Holohan, Spiros Antonatos:
Secure k-Anonymization over Encrypted Databases. 20-30 - Piyush Subedi, Jianwei Hao, In Kee Kim, Lakshmish Ramaswamy:
AI Multi-Tenancy on Edge: Concurrent Deep Learning Model Executions and Dynamic Model Placements on Edge Devices. 31-42 - Francis McNamee, Schahram Dustdar
The Case for Adaptive Deep Neural Networks in Edge Computing. 43-52 - Aditya Dhakal, Sameer G. Kulkarni, K. K. Ramakrishnan:
Primitives Enhancing GPU Runtime Support for Improved DNN Performance. 53-64 - Robert Podschwadt, Daniel Takabi:
Non-interactive Privacy Preserving Recurrent Neural Network Prediction with Homomorphic Encryption. 65-70 - Sagar Sharma, A. K. M. Mubashwir Alam, Keke Chen:
Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning. 71-77 - Krishna Giri Narra, Zhifeng Lin, Yongqin Wang
Origami Inference: Private Inference Using Hardware Enclaves. 78-84 - Lanyu Xu, Arun Iyengar, Weisong Shi:
ChatCache: A Hierarchical Semantic Redundancy Cache System for Conversational Services at Edge. 85-95 - Hieu Tran
Into Summarization Techniques for IoT Data Discovery Routing. 96-105 - Yuanda Wang, Shigang Chen, Ye Xia, Dimitrios Melissourgos, Haibo Wang
Dynamic Edge-Twin Computing for Vehicle Tracking. 106-111 - Raghav Batta, Larisa Shwartz, Michael Nidd, Amar Prakash Azad, Harshit Kumar:
A system for proactive risk assessment of application changes in cloud operations. 112-123 - Pooja Aggarwal, Seema Nagar, Ajay Gupta, Larisa Shwartz, Prateeti Mohapatra, Qing Wang, Amit M. Paradkar, Atri Mandal:
Causal Modeling based Fault Localization in Cloud Systems using Golden Signals. 124-135 - Vikas Agarwal
AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads. 136-146 - David Balla, Markosz Maliosz, Csaba Simon:
Performance Evaluation of Asynchronous FaaS. 147-156 - Abdul Qadeer, John S. Heidemann
Efficient Processing of Streaming Data using Multiple Abstractions. 157-167 - Johannes Manner
Optimizing Cloud Function Configuration via Local Simulations. 168-178 - Yuanda Wang, Haibo Wang
Supporting Real-Time ${T}$-Queries on Network Traffic with a Cloud-Based Offloading Model. 179-188 - Yiming Zeng, Yaodong Huang, Zhenhua Li, Ji Liu, Yuanyuan Yang:
Privacy-Preserving Decentralized Edge Caching in 5G Networks. 189-199 - Weiling Li, Xin Luo, MengChu Zhou:
A Generalized Nesterov-Accelerated Hessian-Vector-Based Latent Factor Analysis Model for QoS Prediction. 200-205 - Stefan Nastic
Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud-Edge-IoT Clusters. 206-216 - Yangming Zhao, Yunfei Hou
EdgePS: Selective Parameter Aggregation for Distributed Machine Learning in Edge Computing. 217-227 - Supun Kamburugamuve, Chathura Widanage, Niranda Perera, Vibhatha Abeykoon, Ahmet Uyar, Thejaka Amila Kanewala, Gregor von Laszewski, Geoffrey C. Fox:
HPTMT: Operator-Based Architecture for Scalable High-Performance Data-Intensive Frameworks. 228-239 - Jie Zhao, Maria Alejandra Rodriguez
A Deep Reinforcement Learning Approach to Resource Management in Hybrid Clouds Harnessing Renewable Energy and Task Scheduling. 240-249 - Valeria Turina, Zongshun Zhang, Flavio Esposito, Ibrahim Matta:
Federated or Split? A Performance and Privacy Analysis of Hybrid Split and Federated Learning Architectures. 250-260 - Akshar Kaul, Manish Kesarwani, Hong Min, Qi Zhang:
Knowledge & Learning-based Adaptable System for Sensitive Information Identification and Handling. 261-271 - Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning. 272-277 - Sungjin Kim, Byung Joon Kim, Dong Hoon Lee:
Prof-gen: Practical Study on System Call Whitelist Generation for Container Attack Surface Reduction. 278-287 - Ruriko Kudo, Hirokuni Kitahara, Kugamoorthy Gajananan, Yuji Watanabe:
Integrity Protection for Kubernetes Resource Based on Digital Signature. 288-296 - Tomoharu Nakano, Kenichi Kourai:
Secure Offloading of Intrusion Detection Systems from VMs with Intel SGX. 297-303 - Ying-yu Pan, Yi Li, Ce-yu Gao, Li Fang, Ping Chen:
Flexible and Efficient Blockchain-Based Cloud Storage. 304-312 - Dong Xie, Yang Hu, Li Qin:
An Evaluation of Serverless Computing on X86 and ARM platforms: Performance and Design Implications. 313-321 - Nour el houda Nouar, Sami Yangui, Noura Faci, Khalil Drira, Saïd Tazi:
Agile and Dynamic Virtualized Network Functions Wiring in Network Services. 322-332 - Burkhard Ringlein
A Case for Function-as-a-Service with Disaggregated FPGAs. 333-344 - Zai-Xing Sun
T2FA: A Heuristic Algorithm for Deadline-Constrained Workflow Scheduling in Cloud with Multicore Resource. 345-354 - Josué Castañeda Cisneros, Sami Yangui, Saúl E. Pomares Hernández, Julio César Pérez Sansalvador, Lil María Rodríguez-Henríquez, Khalil Drira:
Towards Consistent VNF Forwarding Graph Reconfiguration in Multi-domain Environments. 355-366 - Chong Li, Jiangnan Liu, Chenyang Lu, Roch Guérin, Christopher D. Gill:
Impact of Distributed Rate Limiting on Load Distribution in a Latency-sensitive Messaging Service. 367-377 - Navid Alipour, Mea Wang, Diwakar Krishnamurthy:
Oasis: Performance Matching IoT System Emulation. 378-386 - Damien T. Wojtowicz, Shaoyi Yin, Franck Morvan, Abdelkader Hameurlain:
Cost-Effective Dynamic Optimisation for Multi-Cloud Queries. 387-397 - Jianwei Hao, Ting Jiang, Wei Wang
An Empirical Analysis of VM Startup Times in Public IaaS Clouds. 398-403 - Josep Lluis Berral
Theta-Scan: Leveraging Behavior-Driven Forecasting for Vertical Auto-Scaling in Container Cloud. 404-409 - Thomas W. Pusztai, Andrea Morichetta
A Novel Middleware for Efficiently Implementing Complex Cloud-Native SLOs. 410-420 - Morgan Séguéla, Riad Mokadem
Energy and Expenditure Aware Data Replication Strategy. 421-426 - Asterios Tsiourvas
A Mechanism Design and Learning Approach for Revenue Maximization on Cloud Dynamic Spot Markets. 427-432 - Bingbing Rao, Zixia Liu, Hong Zhang, Siyang Lu, Liqiang Wang:
SODA: A Semantics-Aware Optimization Framework for Data-Intensive Applications Using Hybrid Program Analysis. 433-444 - Saman Biookaghazadeh, Fengbo Ren, Ming Zhao:
Characterizing Loop Acceleration in Heterogeneous Computing. 445-455 - Zhenwu Shi, Chenming Jiang, Landu Jiang, Xue (Steve) Liu:
HPKS: High Performance Kubernetes Scheduling for Dynamic Blockchain Workloads in Cloud Computing. 456-466 - Soichiro Tauchi, Kenichi Kourai, Lukman Ab. Rahim:
Optimizing VMs across Multiple Hosts with Transparent and Consistent Tracking of Unused Memory. 467-477 - Mohak Chadha, Anshul Jindal
Architecture-Specific Performance Optimization of Compute-Intensive FaaS Functions. 478-483 - Yosuke Ozawa, Takahiro Shinagawa
Exploiting Sub-page Write Protection for VM Live Migration. 484-490 - Anna Maria Nestorov, Jordà Polo, Claudia Misale, David Carrera, Alaa Youssef:
Performance Evaluation of Data-Centric Workloads in Serverless Environments. 491-496 - Márk Szalay
Real-time task scheduling in a FaaS cloud. 497-507 - Lulai Zhu
RDOF: Deployment Optimization for Function as a Service. 508-514 - Vahid MirzaEbrahim Mostofi, Diwakar Krishnamurthy, Martin F. Arlitt:
Fast and Efficient Performance Tuning of Microservices. 515-520 - Adnan Maruf
Understanding Flash-Based Storage I/O Behavior of Games. 521-526 - Yannis Sfakianakis, Manolis Marazakis, Angelos Bilas:
Skynet: Performance-driven Resource Management for Dynamic Workloads. 527-539 - Xiaodi Ke, Cong Guo, Siqi Ji, Shane Bergsma, Zhenhua Hu, Lei Guo:
Fundy: A Scalable and Extensible Resource Manager for Cloud Resources. 540-550 - David Gureya, João Barreto
Generalizing QoS-Aware Memory Bandwidth Allocation to Multi-Socket Cloud Servers. 551-557 - Qing Wang, Larisa Shwartz, Genady Ya. Grabarnik, Vijay Arya, Karthikeyan Shanmugam
Detecting Causal Structure on Cloud Application Microservices Using Granger Causality Models. 558-565 - Muhammed Fatih Bulut, Jinho Hwang:
NL2Vul: Natural Language to Standard Vulnerability Score for Cloud Security Posture Management. 566-571 - Anup K. Kalia, Raghav Batta, Jin Xiao, Maja Vukovic:
Ensemble of Unsupervised Parametric and Non-Parametric Techniques to Discover Change Actions. 572-577 - Nicholas Nordlund, Vassilis Vassiliadis, Michele Gazzetti, Dimitris Syrivelis, Leandros Tassiulas:
Energy-Aware Learning Agent (EALA) for Disaggregated Cloud Scheduling. 578-583 - Hao Li, Haitao Huang, Zhuzhong Qian:
Latency-aware Batch Task Offloading for Vehicular Cloud: Maximizing Submodular Bandit. 584-593 - Weibin Ma, Lena Mashayekhy:
Quality-Aware Video Offloading in Mobile Edge Computing: A Data-driven Two-stage Stochastic Optimization. 594-599 - Amir Jabbari, Farzaneh Masoumiyan, Shuwen Hu, Maolin Tang, Yu-Chu Tian
A Cost-Efficient Resource Provisioning and Scheduling Approach for Deadline-Sensitive MapReduce Computations in Cloud Environment. 600-608 - Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Marcelo Amaral:
Run Wild: Resource Management System with Generalized Modeling for Microservices on Cloud. 609-618 - Venkatesan T. Chakaravarthy, Padmanabha Venkatagiri Seshadri, Pooja Aggarwal, Anamitra R. Choudhury, Ashok Pon Kumar, Yogish Sabharwal, Amith Singhee:
Rightsizing Clusters for Time-Limited Tasks. 619-624 - Yuzhao Wang, Hongliang Qu, Junqing Yu, Zhibin Yu:
Para: Harvesting CPU time fragments in Big Data Analytics. 625-636 - Hongyun Liu, Peng Chen
Towards A Robust Meta-Reinforcement Learning-Based Scheduling Framework for Time Critical Tasks in Cloud Environments. 637-647 - Xiao-ke Zhu
DLB: Deep Learning Based Load Balancing. 648-653 - Panos K. Koutsovasilis, Srikumar Venugopal, Yiannis Gkoufas, Christian Pinto:
A Holistic Approach to Data Access for Cloud-Native Analytics and Machine Learning. 654-659 - Thomas W. Pusztai, Fabiana Rossi, Schahram Dustdar
Pogonip: Scheduling Asynchronous Applications on the Edge. 660-670 - Uchechukwu Awada
Air-to-Air Collaborative Learning: A Multi-Task Orchestration in Federated Aerial Computing. 671-680 - Imen Chakroun, Tom Vander Aa
Distributing intelligence for object detection using edge computing. 681-687 - Mohamed Elsakhawy, Michael A. Bauer:
Usage Trends Aware VM Placement in Academic Research Computing Clouds. 688-697 - Pierre Matri, Robert B. Ross:
Neon: Low-Latency Streaming Pipelines for HPC. 698-707 - Anup K. Kalia, Raghav Batta, Jin Xiao, Mihir Choudhury, Maja Vukovic:
ACA: Application Containerization Advisory Framework for Modernizing Legacy Applications. 708-710 - Ahmad Almansoor, Lena Mashayekhy:
Edge Service Deployment via Online Learning. 711-713 - Dhanya R. Mathews, Mudit Verma, Pooja Aggarwal, J. Lakshmi:
Insights into Multi-Layered Fault Propagation and Analysis in a Cloud Stack. 714-716 - Padmanabha Venkatagiri Seshadri, Harikrishnan Balagopal, Pablo Loyola, Akash Nayak, Chander Govindarajan, Mudit Verma, Ashok Pon Kumar, Amith Singhee:
Konveyor Move2Kube: Automated Replatforming of Applications to Kubernetes. 717-719 - Xing Wei, Huiqi Hu, Aoying Zhou:
Exploring the Network-Sensitive Scheduling on Distributed Shared Memory. 720-722 - Jakub Gasior
An Automata-based Profit Optimization of Cloud Brokers in IaaS Environment. 723-725 - Dionysios Diamantopoulos, Raphael Polig, Burkhard Ringlein
Acceleration-as-a-µService: A Cloud-native Monte-Carlo Option Pricing Engine on CPUs, GPUs and Disaggregated FPGAs. 726-729 - Simone Rodigari, Donna O'Shea
Performance Analysis of Zero-Trust multi-cloud. 730-732 - Chathura Widanage, Weijie Liu, Jiayu Li, Hongbo Chen
HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework. 733-743 - Wolfgang Gentzsch, Daniel Gruber, Yaghoub Dabiri, Julius M. Guccione, Ghassan S. Kassab:
@An automated self-service multi-cloud HPC platform applied to the simulation of cardiac valve disease with machine learning. 744-746 - Sudipta Saha Shubha, Shohaib Mahmud, Haiying Shen:
Challenges of Distributed Computing for Pandemic Spread Prediction based on Large-Scale Human Interaction Data. 747-750 - Prateek Sharma, Vikram Jadhao:
Molecular Dynamics Simulations on Cloud Computing and Machine Learning Platforms. 751-753
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