| 2024 | 17th IEEE International Conference on Cloud Computing, CLOUD 2024, Shenzhen, China, July 7-13, 2024 Rong N. Chang, Carl K. Chang, Jingwei Yang, Nimanthi L. Atukorala, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Tevfik Kosar, Santonu Sarkar, Sreekrishnan Venkateswaran, Shangguang Wang, Xuanzhe Liu, Seetharami Seelam, Chandra Narayanaswami, Ziliang Zong |
| 2024 | 2024 IEEE International Conference on Cloud Computing, Message from the Chairs. Tevfik Kosar, Krishnan Venkateswaran, Shangguang Wang, Seetharami Seelam, Santonu Sarkar, Xuanzhe Liu |
| 2024 | 2024 IEEE World Congress on Services (IEEE SERVICES 2024). Jing Fan, Kenneth K. Fletcher, Qiang He |
| 2024 | 2024 IEEE World Congress on Services (SERVICES). Shangguang Wang |
| 2024 | 2024 IEEE World Congress on Services. Elisa Bertino, Carl K. Chang, Rong N. Chang, Peter Chen, Ernesto Damiani, Sumi Helal, Dennis Gannon, Frank Leymann, Hong Mei, Dejan S. Milojicic, Stephen S. Yau |
| 2024 | A Comparative Analysis of Generative Adversarial Networks for Generating Cloud Workloads. Niloofar Sharifisadr, Diwakar Krishnamurthy, Yasaman Amannejad |
| 2024 | A Secure Framework for Continuous Compliance across Heterogeneous Policy Validation Points. Takumi Yanagawa, Vikas Agarwal, Yuji Watanabe, Lou Degenaro, Anca Sailer |
| 2024 | A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs. Praveen Rao, Khawar Shehzad |
| 2024 | Analysis and Optimization for Passive One-way Delay Measurement Tax in Container Networks. Jingzhao Xie, Chongxi Ma, Hongfang Yu, Long Luo, Gang Sun |
| 2024 | ArcaDB: A Disaggregated Query Engine for Heterogenous Computational Environments. Kristalys Ruiz-Rohena, Manuel Rodríguez-Martínez |
| 2024 | Availability-Guarantee and Traffic Optimization Virtual Machine Placement in 5G Cloud Datacenters. Wencong Yang, Shouyi Yang, Yi Yue, Tian Chen, Wanming Hao |
| 2024 | Budget Aware Performance Test Selection for Microservices. Quinn Cooper, Diwakar Krishnamurthy, Yasaman Amannejad |
| 2024 | CRISP: Confidentiality, Rollback, and Integrity Storage Protection for Confidential Cloud-Native Computing. Ardhi Putra Pratama Hartono, Andrey Brito, Christof Fetzer |
| 2024 | Carbon-Aware and Fault-Tolerant Migration of Deep Learning Workloads in the Geo-Distributed Cloud. Jeonghyeon Park, Daero Kim, Jiseon Kim, Jungkyu Han, Sejin Chun |
| 2024 | CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation. Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Prateeti Mohapatra, Brent Paulovicks, Brad Blancett, Arthur De Magalhaes |
| 2024 | Coordinating Compaction Between LSM-Tree Based Key-Value Stores for Edge Federation. Jeeseob Kim, Honghyeon Yoo, Seungjae Lee, Hongsu Byun, Sungyong Park |
| 2024 | DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing. Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya |
| 2024 | Data Splitting Based Double Layer Encryption for Secure Ciphertext Deduplication in Cloud Storage. Xin Tang, Luchao Jin |
| 2024 | Decoding Logs for Automatic Metric Identification. Pranjal Gupta, Prateeti Mohapatra, Debanjana Kar, Seema Nagar, Jae-wook Ahn, Amit M. Paradkar, Mudhakar Srivatsa |
| 2024 | Delay-Aware Service Caching in Edge Cloud: An Adversarial Semi-Bandits Learning-Based Approach. Jinpeng Li, Yunni Xia, Xiaoning Sun, Peng Chen, Xiaobo Li, Jiafeng Feng |
| 2024 | Distributed Dataflow Across the Edge-Cloud Continuum. Tyler Ekaireb, Lukas Brand, Nagarjun Avaraddy, Markus Mock, Chandra Krintz, Rich Wolski |
| 2024 | Dynamic Workflow Scheduling in the Edge-Cloud Continuum: Optimizing Runtimes Under Budget Constraints. Stefan Pedratscher, Thomas Fahringer, Juan Aznar-Poveda |
| 2024 | Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm. Emanuele Carlini, Patrizio Dazzi, Antonios Makris, Matteo Mordacchini, Theodoros Theodoropoulos, Konstantinos Tserpes |
| 2024 | Enabling Programmable Metric Flows. Aishwariya Chakraborty, Chander Govindarajan, Kavya Govindarajan, Priyanka Naik, Seep Goel |
| 2024 | FastMig: Leveraging FastFreeze to Establish Robust Service Liquidity in Cloud 2.0. Sorawit Manatura, Thanawat Chanikaphon, Chantana Chantrapornchai, Mohsen Amini Salehi |
| 2024 | Fed2PKD: Bridging Model Diversity in Federated Learning via Two-Pronged Knowledge Distillation. Zaipeng Xie, Han Xu, Xing Gao, Junchen Jiang, Ruiqian Han |
| 2024 | GASS: GPU Automated Sharing at Scale. Jiafan Zhu, Xiao Zhang, Konstantinos Menychtas, Zhijing Gene Qin, Steven Hand, Dragos Sbirlea, Yuang Liu |
| 2024 | Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing. Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu |
| 2024 | Harmonia: Accurate Federated Learning with All-Inclusive Dataset. Wonmi Choi, Juyoung Ahn, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang |
| 2024 | IEEE 2024 World Congress on Services. Zhi Jin, Michael Sheng |
| 2024 | Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features. Waqwoya Abebe, Pablo Munoz, Ali Jannesari |
| 2024 | Intent-Driven Multi-Engine Observability Dataflows for Heterogeneous Geo-Distributed Clouds. Aishwariya Chakraborty, Anand Eswaran, Pankaj Thorat, Mudit Verma, Pranjal Gupta, Praveen Jayachandran |
| 2024 | LGDCloudSim: A Resource Management Simulation System for Large-Scale Geographically Distributed Cloud Data Center Scenarios. Jiawen Liu, Yuehao Xu, Binbin Feng, Zhijun Ding |
| 2024 | MediatorDNN: Contention Mitigation for Co-Located DNN Inference Jobs. Seyed Morteza Nabavinejad, Sherief Reda, Tian Guo |
| 2024 | OS4C: An Open-Source SR-IOV System for SmartNIC-Based Cloud Platforms. Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen |
| 2024 | One System Call Hook to Rule All TEE OSes in the Cloud. Kailun Qin, Dawu Gu |
| 2024 | Optimizing Cloud Workloads: Autoscaling with Reinforcement Learning. Pratik Mishra, Sandeep Hans, Diptikalyan Saha, Pratibha Moogi |
| 2024 | Optimizing Context Caching Using a Novel Hybrid Strategy for Dynamically Monitoring Access Probability. Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee, Arkady B. Zaslavsky |
| 2024 | Optimizing Simultaneous Autoscaling for Serverless Cloud Computing. Harold J. Ship, Evgeny Shindin, Chen Wang, Diana Arroyo, Asser N. Tantawi |
| 2024 | Predictive Placement of Geo-Distributed Blockchain Nodes for Performance Guarantee. Junseok Lee, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang |
| 2024 | Process-Based Efficient Power Level Exporter. Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee, Tamar Eilam |
| 2024 | Resource Efficient Bayesian Optimization. Namit Juneja, Varun Chandola, Jaroslaw Zola, Olga Wodo, Parth Desai |
| 2024 | Rethinking Application Container Networking in a Multi-Cluster World. Chander Govindarajan, Priyanka Naik, Kavya Govindarajan, Seep Goel |
| 2024 | S2TAR: Shared Secure Trusted Accelerators with Reconfiguration for Machine Learning in the Cloud. Wei Ren, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke, Deming Chen |
| 2024 | SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow |
| 2024 | Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing Ready? Apoorve Mohan, Mengmei Ye, Hubertus Franke, Mudhakar Srivatsa, Zhuoran Liu, Nelson Mimura Gonzalez |
| 2024 | Self Adjusting Log Observability for Cloud Native Applications. Divya Pathak, Mudit Verma, Aishwariya Chakraborty, Harshit Kumar |
| 2024 | SimuScale: Optimizing Parameters for Autoscaling of Serverless Edge Functions Through Co-Simulation. Philipp Raith, Stefan Nastic, Schahram Dustdar |
| 2024 | SlackAuto: Slack-Aware Vertical Autoscaling of CPU Resources for Serverless Computing. Hyeon-Jun Jang, Hyun-Wook Jin |
| 2024 | SpotKV: Improving Read Throughput of KVS by I/O-Aware Cache and Adaptive Cuckoo Filters. Yi Liu, Ruilin Zhou, Yuhang Gan, Chen Qian |
| 2024 | Syscall Analysis for Resource Stress Identification for Container Network Functions. Chander Govindarajan, Priyanka Naik, Kavya Govindarajan, Seep Goel, Palanivel A. Kodeswaran, Sayandeep Sen, Praveen Javachandran |
| 2024 | Telemetry-Driven Microservices Orchestration in Cloud-Edge Environments. Angelo Marchese, Orazio Tomarchio |
| 2024 | TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information. Linfeng Wen, Minxian Xu, Adel Nadjaran Toosi, Kejiang Ye |
| 2024 | The Impact of Low-Entropy on Chunking Techniques for Data Deduplication. Mu'men Al Jarah, Sreeharsha Udayashankar, Abdelrahman Baba, Samer Al-Kiswany |
| 2024 | The State of FaaS: An Analysis of Public Functions-as-a-Service Providers. Nnamdi Ekwe-Ekwe, Lucas Amos |
| 2024 | Towards Sustainable Cloud Software Systems through Energy-Aware Code Smell Refactoring. Asif Imran, Tevfik Kosar, Jaroslaw Zola, Muhammed Fatih Bulut |
| 2024 | Tracemesh: Scalable and Streaming Sampling for Distributed Traces. Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng |
| 2024 | UniNet: Accelerating the Container Network Data Plane in IaaS Clouds. Yuan Ma, Scott Smith, Bill Gropp, Hubertus Franke, Bharat Sukhwani, Sameh W. Asaad, Jinjun Xiong, Volodymyr V. Kindratenko, Deming Chen |
| 2024 | iContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum. Negin Akbari, Adel Nadjaran Toosi, John C. Grundy, Hourieh Khalajzadeh, Mohammad Sadegh Aslanpour, Shashikant Ilager |