Middleware A

40 papers

YearTitle / Authors
2024Amalgam: A Framework for Obfuscated Neural Network Training on the Cloud.
Sifat Ut Taki, Spyridon Mastorakis
2024AsyncFilter: Detecting Poisoning Attacks in Asynchronous Federated Learning.
Yufei Kang, Baochun Li
2024B-Side: Binary-Level Static System Call Identification.
Gaspard Thévenon, Kevin Nguetchouang, Kahina Lazri, Alain Tchana, Pierre Olivier
2024BASS: A Resource Orchestrator to Account for Vagaries in Network Conditions in Community Wi-Fi Mesh.
Manasvini Sethuraman, Anirudh Sarma, Netra Ghaisas, Adwait Bauskar, Ashutosh Dhekne, Anand Sivasubramaniam, Kishore Ramachandran
2024Banyan: Fast Rotating Leader BFT.
Yann Vonlanthen, Jakub Sliwinski, Massimo Albarello, Roger Wattenhofer
2024Cannikin: Optimal Adaptive Distributed DNN Training over Heterogeneous Clusters.
Chengyi Nie, Jessica Maghakian, Zhenhua Liu
2024Chasing Lightspeed Consensus: Fast Wide-Area Byzantine Replication with Mercury.
Christian Berger, Lívio Rodrigues, Hans P. Reiser, Vinicius Vielmo Cogo, Alysson Bessani
2024Consensus-Agnostic State-Machine Replication.
Alexander Heß, Franz J. Hauck, Echo Meißner
2024Deep Optimizer States: Towards Scalable Training of Transformer Models using Interleaved Offloading.
Avinash Maurya, Jie Ye, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae
2024Dexter: A Performance-Cost Efficient Resource Allocation Manager for Serverless Data Analytics.
Anna Maria Nestorov, Diego Marrón, Alberto Gutierrez-Torre, Chen Wang, Claudia Misale, Alaa Youssef, David Carrera, Josep Lluís Berral
2024Enhancing Effective Bidirectional Isolation for Function Fusion in Serverless Architectures.
Tianyu Li, Yingpeng Chen, Donghui Yu, Yuanyuan Zhang, Bert Lagaisse
2024FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems.
Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, Hans-Arno Jacobsen
2024Guardian: Safe GPU Sharing in Multi-Tenant Environments.
Manos Pavlidakis, Giorgos Vasiliadis, Stelios Mavridis, Anargyros Argyros, Antony Chazapis, Angelos Bilas
2024HORSE: Ultra-low latency workloads on FaaS platforms.
Djob Mvondo, François Taïani, Yérom-David Bromberg
2024In Serverless, OS Scheduler Choice Costs Money: A Hybrid Scheduling Approach for Cheaper FaaS.
Yuxuan Zhao, Weikang Weng, Rob van Nieuwpoort, Alexandru Uta
2024L3: Latency-aware Load Balancing in Multi-Cluster Service Mesh.
Olivier Michaelis, Stefan Schmid, Habib Mostafaei
2024LightZone: Lightweight Hardware-Assisted In-Process Isolation for ARM64.
Ziqi Yuan, Siyu Hong, Ruorong Guo, Rui Chang, Mingyu Gao, Wenbo Shen, Yajin Zhou
2024Menos: Split Fine-Tuning Large Language Models with Efficient GPU Memory Sharing.
Chenghao Hu, Baochun Li
2024Near-Storage Processing in FaaS Environments with Funclets.
Alan Nair, Raven Szewczyk, Donald Jennings, Antonio Barbalace
2024On the Semantic Overlap of Operators in Stream Processing Engines.
Vincenzo Gulisano, Marina Papatriantafilou, Alessandro Margara
2024Optimal Resource Efficiency with Fairness in Heterogeneous GPU Clusters.
Zizhao Mo, Huanle Xu, Wing Cheong Lau
2024Personalized Privacy-Preserving Federated Learning.
Cédric Boscher, Nawel Benarba, Fatima Elhattab, Sara Bouchenak
2024Privagic: automatic code partitioning with explicit secure typing.
Subashiny Tanigassalame, Yohan Pipereau, Adam Chader, Jana Toljaga, Gaël Thomas
2024Proceedings of the 25th International Middleware Conference, MIDDLEWARE 2024, Hong Kong, SAR, China, December 2-6, 2024
Jiannong Cao, Zhi Jin, Valerio Schiavoni, Janick Edinger
2024PvCC: A vCPU Scheduling Policy for DPDK-applied Systems at Multi-Tenant Edge Data Centers.
Yuki Tsujimoto, Yuki Sato, Kenichi Yasukata, Kenta Ishiguro, Kenji Kono
2024QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation.
Akash Balasaheb Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu
2024Ripple: Large-Scale Service and Configuration Management in the Cloud.
Shuping Ji, Zhen Tang, Wei Wang, Hui Li, Jianguo Yao, Hans-Arno Jacobsen
2024RoleML: a Role-Oriented Programming Model for Customizable Distributed Machine Learning on Edges.
Yuesheng Tan, Lei Yang, Wenhao Li, Yuda Wu
2024STRATA: Random Forests going Serverless.
Dimitrios Tomaras, Sebastian Buschjäger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos
2024SeqCDC: Hashless Content-Defined Chunking for Data Deduplication.
Sreeharsha Udayashankar, Abdelrahman Baba, Samer Al-Kiswany
2024SpotVerse: Optimizing Bioinformatics Workflows with Multi-Region Spot Instances in Galaxy and Beyond.
Myungjun Son, Gulsum Gudukbay Akbulut, Mahmut Taylan Kandemir
2024Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients.
Yuncong Zuo, Bart Cox, Lydia Y. Chen, Jérémie Decouchant
2024Targeting Tail Latency in Replicated Systems with Proactive Rejection.
Laura Lawniczak, Tobias Distler
2024Towards Affordable Reproducibility Using Scalable Capture and Comparison of Intermediate Multi-Run Results.
Nigel Tan, Kevin Assogba, Walter J. Ashworth, Befikir Bogale, Franck Cappello, M. Mustafa Rafique, Michela Taufer, Bogdan Nicolae
2024Towards Practical Homomorphic Aggregation in Byzantine-Resilient Distributed Learning.
Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber
2024Towards SLO-Compliant and Cost-Effective Serverless Computing on Emerging GPU Architectures.
Vivek M. Bhasi, Aakash Sharma, Rishabh Jain, Jashwant Raj Gunasekaran, Ashutosh Pattnaik, Mahmut Taylan Kandemir, Chita R. Das
2024UTwinVM: Reliable hints on the effects of hypervisor updates on VMs in the Cloud.
Djob Mvondo, Tong Xing, Antonio Barbalace
2024sMVX: Multi-Variant Execution on Selected Code Paths.
Sengming Yeoh, Xiaoguang Wang, Jae-Won Jang, Binoy Ravindran
2024vPIM: Processing-in-Memory Virtualization.
Dufy Teguia, Jiaxuan Chen, Stella Bitchebe, Oana Balmau, Alain Tchana
2024zkStream: a Framework for Trustworthy Stream Processing.
Janwillem Swalens, Lode Hoste, Emad Heydari Beni, Lieven Trappeniers