default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID15th IEEE CLOUD 2022: Barcelona, Spain
- Claudio Agostino Ardagna, Nimanthi L. Atukorala, Rajkumar Buyya, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Gargi Banerjee Dasgupta, Fabrizio Gagliardi, Christoph Hagleitner, Dejan S. Milojicic, Tuan M. Hoang Trong, Robert Ward, Fatos Xhafa, Jia Zhang:
IEEE 15th International Conference on Cloud Computing, CLOUD 2022, Barcelona, Spain, July 10-16, 2022. IEEE 2022, ISBN 978-1-6654-8137-3 - Jaime Dantas, Hamzeh Khazaei, Marin Litoiu
:
Application Deployment Strategies for Reducing the Cold Start Delay of AWS Lambda. 1-10 - Chin-Hsien Wu, Liang-Ting Chen:
A State-aware Method for Flows with Fairness on NVMe SSDs with Load Balance. 11-18 - Andrea Rossi, Andrea Visentin, Steven D. Prestwich, Kenneth N. Brown:
Bayesian Uncertainty Modelling for Cloud Workload Prediction. 19-29 - Gor Safaryan, Anshul Jindal, Mohak Chadha, Michael Gerndt:
SLAM: SLO-Aware Memory Optimization for Serverless Applications. 30-39 - Johannes Manner, Guido Wirtz:
Resource Scaling Strategies for Open-Source FaaS Platforms compared to Commercial Cloud Offerings. 40-48 - Emile Cadorel, Hélène Coullon, Jean-Marc Menaud:
Handling heterogeneous workflows in the Cloud while enhancing optimizations and performance. 49-58 - Agathe Blaise, Filippo Rebecchi:
Stay at the Helm: secure Kubernetes deployments via graph generation and attack reconstruction. 59-69 - Sheshadri K. R, J. Lakshmi:
QoS aware FaaS for Heterogeneous Edge-Cloud continuum. 70-80 - Ioannis Fakinos, Achilleas Tzenetopoulos, Dimosthenis Masouros, Sotirios Xydis, Dimitrios Soudris:
Sequence Clock: A Dynamic Resource Orchestrator for Serverless Architectures. 81-90 - Ojaswa Sharma, Mudit Verma, Saumya Bhadauria, Praveen Jayachandran:
A Guided Approach Towards Complex Chaos Selection, Prioritisation and Injection. 91-93 - Dhanya R. Mathews, Mudit Verma, J. Lakshmi, Pooja Aggarwal:
Towards More Effective and Explainable Fault Management Using Cross-Layer Service Topology. 94-96 - Morgan Séguéla, Riad Mokadem, Jean-Marc Pierson:
Dynamic Energy and Expenditure Aware Data Replication Strategy. 97-102 - Ryan Hancock, Sreeharsha Udayashankar, Ali José Mashtizadeh, Samer Al-Kiswany:
OrcBench: A Representative Serverless Benchmark. 103-108 - Kunal Mahajan, Rumit Desai:
Serving distributed inference deep learning models in serverless computing. 109-111 - Changyong Shin, Gyeongsik Yang, Yeonho Yoo, Jeunghwan Lee, Chuck Yoo:
Xonar: Profiling-based Job Orderer for Distributed Deep Learning. 112-114 - Padmanabha Venkatagiri Seshadri, Harikrishnan Balagopal, Akash Nayak, Ashok Pon Kumar, Pablo Loyola:
Konveyor Move2Kube: A Framework For Automated Application Replatforming. 115-124 - Amardeep Mehta, Lackis Eleftheriadis:
Smart Edge Power Management to Improve Availability and Cost-efficiency of Edge Cloud. 125-133 - Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Marcelo Amaral:
Bypass Container Overlay Networks with Transparent BPF-driven Socket Replacement. 134-143 - Guangwen Yang, Liana Wane, Wei Xue:
Radio: Reconciling Disk I/O Interference in a Para-virtualized Cloud. 144-156 - Takumi Kawamura, Kenichi Kourai:
Secure Offloading of User-level IDS with VM-compatible OS Emulation Layers for Intel SGX. 157-166 - Meng Wang, Cesar A. Stuardo, Daniar Heri Kurniawan, Ray A. O. Sinurat, Haryadi S. Gunawi:
Layered Contention Mitigation for Cloud Storage. 167-178 - Johan Ruuskanen, Anton Cervin:
Distributed online extraction of a fluid model for microservice applications using local tracing data. 179-190 - Francesco Minna, Fabio Massacci, Katja Tuma:
Towards a Security Stress-Test for Cloud Configurations. 191-196 - Yu Zhang, Tianbo Wang:
Applying Value-Based Deep Reinforcement Learning on KPI Time Series Anomaly Detection. 197-202 - Seema Nagar, Suranjana Samanta, Prateeti Mohapatra, Debanjana Kar:
Building Golden Signal Based Signatures for Log Anomaly Detection. 203-208 - Chunhua Xiao, Shi Qiu, Dandan Xu:
Cop-Flash: Utilizing hybrid storage to construct a large, efficient, and durable computational storage for DNN training. 209-218 - Yaoyin You, Binbin Feng, Zhijun Ding:
Q-percentile Bandwidth Billing Based Geo-Scheduling Algorithm. 219-229 - Marcelo Amaral, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura, Sunyanan Choochotkaew:
MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF. 230-240 - Dasari Surya Sai Venkatesh, Shivali Agarwal:
Data Access Pattern Recommendations for Microservices Architecture. 241-243 - Ranjitha K., Praveen Tammana, Pravein Govindan Kannan, Priyanka Naik:
A Case For Cross-Domain Observability to Debug Performance Issues in Microservices. 244-246 - Lorson Blair, Carlos A. Varela, Stacy Patterson:
A Continuum Approach for Collaborative Task Processing in UAV MEC Networks. 247-256 - Shifat P. Mithila, Gerald Baumgartner:
Latency-based Vector Scheduling of Many-task Applications for a Hybrid Cloud. 257-262 - Ali Sydney, Abdul Alim, Chris Ward, Claude Basso, Bengi Karacali:
Cloud Data Center Fabric Virtualization. 263-272 - Mohamed Mouine, Mohamed Aymen Saied:
Event-Driven Approach for Monitoring and Orchestration of Cloud and Edge-Enabled IoT Systems. 273-282 - Chinthaka Weerakkody, Miyuru Dayarathna, Sanath Jayasena, Toyotaro Suzumura:
Guaranteeing Service Level Agreements for Triangle Counting via Observation-based Admission Control Algorithm. 283-288 - Arthur Souza, Nélio Cacho, Thaís Batista, Rajiv Ranjan:
SAPPARCHI: an Osmotic Platform to Execute Scalable Applications on Smart City Environments. 289-298 - Kalyan Dasgupta, Umamaheswari Devi, Aanchal Goyal:
Towards complete dis-aggregation of data center rack power using light-weight mechanisms. 299-308 - Sunyanan Choochotkaew, Tatsuhiro Chiba, Scott Trent, Takeshi Yoshimura, Marcelo Amaral:
AutoDECK: Automated Declarative Performance Evaluation and Tuning Framework on Kubernetes. 309-314 - John C. John, Arobinda Gupta, Shamik Sural:
Data Leakage Free ABAC Policy Construction in Multi-Cloud Collaboration. 315-320 - Bowen Song, Marco Paolieri, Leana Golubchik:
Performance and Revenue Analysis of Hybrid Cloud Federations with QoS Requirements. 321-330 - Shreshth Tuli, Giuliano Casale, Nicholas R. Jennings:
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments. 331-341 - Satish Narayana Srirama, Suvam Basak:
Fog Computing out of the Box with FogDEFT Framework: A Case Study. 342-350 - Mingxing Zhou, Shuhua Ruan, Junwei Liu, Xingshu Chen, Miaomiao Yang, Qixu Wang:
vTPM-SM: An Application Scheme of SM2/SM3/SM4 Algorithms Based on Trusted Computing in Cloud Environment. 351-356 - Pinglan Liu, Wensheng Zhang:
Towards Practical Privacy-Preserving Solution for Outsourced Neural Network Inference. 357-362 - Christoph Auer, Michele Dolfi, André Carvalho, Cesar Berrospi Ramis, Peter W. J. Staar:
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness. 363-373 - Damian Borowiec, Gingfung Yeung, Adrian Friday, Richard H. R. Harper, Peter Garraghan:
Trimmer: Cost-Efficient Deep Learning Auto-tuning for Cloud Datacenters. 374-384 - Tatsushi Inagaki, Yohei Ueda, Moriyoshi Ohara, Sunyanan Choochotkaew, Marcelo Amaral, Scott Trent, Tatsuhiro Chiba, Qi Zhang:
Detecting Layered Bottlenecks in Microservices. 385-396 - Kavya Govindarajan, Chander Govindarajan, Mudit Verma:
Network Aware Container Orchestration for Telco Workloads. 397-406 - Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt:
TIFF: Tokenized Incentive for Federated Learning. 407-416 - Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig:
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting. 417-426 - Vikas Agarwal, Chris Butler, Lou Degenaro, Arun Kumar, Anca Sailer, Gosia Steinder:
Compliance-as-Code for Cybersecurity Automation in Hybrid Cloud. 427-437 - Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Search-based Methods for Multi-Cloud Configuration. 438-448 - Danlin Jia, Geng Yuan, Xue Lin, Ningfang Mi:
A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. 449-458 - Ali Mokhtari, Md. Abir Hossen, Pooyan Jamshidi, Mohsen Amini Salehi:
FELARE: Fair Scheduling of Machine Learning Tasks on Heterogeneous Edge Systems. 459-468 - Hongyun Liu, Ruyue Xin, Peng Chen, Zhiming Zhao:
Multi-Objective Robust Workflow Offloading in Edge-to-Cloud Continuum. 469-478 - Parwat Singh Anjana, Adithya Rajesh Chandrassery, Sathya Peri:
An Efficient Approach to Move Elements in a Distributed Geo-Replicated Tree. 479-488 - Jesus Rios, Saurabh Jha, Laura Shwartz:
Localizing and Explaining Faults in Microservices Using Distributed Tracing. 489-499 - Pradyumna Kaushik, Srinidhi Raghavendra, Madhusudhan Govindaraju:
A Study of Contributing Factors to Power Aware Vertical Scaling of Deadline Constrained Applications. 500-510 - Negar Mohammadi-Koushki, Sanjeev Sondur, Krishna Kant:
Automated Configuration for Agile Software Environments. 511-521 - Tayebeh Bahreini, Asser N. Tantawi, Alaa Youssef:
An Approximation Algorithm for Minimizing the Cloud Carbon Footprint through Workload Scheduling. 522-531 - Sergiu Carpov, Nicolas Gama, Mariya Georgieva, Dimitar Jetchev:
GenoPPML - a framework for genomic privacy-preserving machine learning. 532-542 - Minseo Kim, Hyerean Jang, Youngjoo Shin:
Avengers, Assemble! Survey of WebAssembly Security Solutions. 543-553 - Rasmus Vestergaard, Elena Pagnin, Rohon Kundu, Daniel E. Lucani:
Secure Cloud Storage with Joint Deduplication and Erasure Protection. 554-563
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-20 20:46 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
