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17th IEEE CLOUD 2024: Shenzhen, China
- 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:
17th IEEE International Conference on Cloud Computing, CLOUD 2024, Shenzhen, China, July 7-13, 2024. IEEE 2024, ISBN 979-8-3503-6853-6 - 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 IEEE World Congress on Services. xii - Jing Fan, Kenneth K. Fletcher, Qiang He:
2024 IEEE World Congress on Services (IEEE SERVICES 2024). xv - Zhi Jin, Michael Sheng:
IEEE 2024 World Congress on Services. xiii-xiv - Tevfik Kosar, Krishnan Venkateswaran, Shangguang Wang, Seetharami Seelam, Santonu Sarkar, Xuanzhe Liu:
2024 IEEE International Conference on Cloud Computing, Message from the Chairs. xvii - Shangguang Wang:
2024 IEEE World Congress on Services (SERVICES). xvi - Zaipeng Xie
, Han Xu, Xing Gao, Junchen Jiang, Ruiqian Han:
Fed2PKD: Bridging Model Diversity in Federated Learning via Two-Pronged Knowledge Distillation. 1-11 - Namit Juneja, Varun Chandola, Jaroslaw Zola, Olga Wodo, Parth Desai:
Resource Efficient Bayesian Optimization. 12-19 - Waqwoya Abebe, Pablo Munoz, Ali Jannesari:
Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features. 20-29 - Aishwariya Chakraborty, Anand Eswaran, Pankaj Thorat, Mudit Verma, Pranjal Gupta, Praveen Jayachandran:
Intent-Driven Multi-Engine Observability Dataflows for Heterogeneous Geo-Distributed Clouds. 30-41 - Kristalys Ruiz-Rohena, Manuel Rodríguez-Martínez
ArcaDB: A Disaggregated Query Engine for Heterogenous Computational Environments. 42-53 - Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
Tracemesh: Scalable and Streaming Sampling for Distributed Traces. 54-65 - Junseok Lee, Yeonho Yoo, Chuck Yoo, Gyeongsik Yang:
Predictive Placement of Geo-Distributed Blockchain Nodes for Performance Guarantee. 66-68 - Stefan Pedratscher, Thomas Fahringer, Juan Aznar-Poveda:
Dynamic Workflow Scheduling in the Edge-Cloud Continuum: Optimizing Runtimes Under Budget Constraints. 69-80 - Sorawit Manatura, Thanawat Chanikaphon, Chantana Chantrapornchai, Mohsen Amini Salehi:
FastMig: Leveraging FastFreeze to Establish Robust Service Liquidity in Cloud 2.0. 81-90 - Angelo Marchese, Orazio Tomarchio:
Telemetry-Driven Microservices Orchestration in Cloud-Edge Environments. 91-101 - Chander Govindarajan, Priyanka Naik, Kavya Govindarajan, Seep Goel:
Rethinking Application Container Networking in a Multi-Cluster World. 102-104 - Harold J. Ship, Evgeny Shindin, Chen Wang, Diana Arroyo, Asser N. Tantawi:
Optimizing Simultaneous Autoscaling for Serverless Cloud Computing. 105-114 - Yuan Ma, Scott Smith, Bill Gropp, Hubertus Franke, Bharat Sukhwani, Sameh W. Asaad, Jinjun Xiong, Volodymyr V. Kindratenko, Deming Chen:
UniNet: Accelerating the Container Network Data Plane in IaaS Clouds. 115-127 - Wencong Yang, Shouyi Yang, Yi Yue
Availability-Guarantee and Traffic Optimization Virtual Machine Placement in 5G Cloud Datacenters. 128-133 - Mu'men Al Jarah, Sreeharsha Udayashankar, Abdelrahman Baba, Samer Al-Kiswany:
The Impact of Low-Entropy on Chunking Techniques for Data Deduplication. 134-140 - Ardhi Putra Pratama Hartono, Andrey Brito, Christof Fetzer:
CRISP: Confidentiality, Rollback, and Integrity Storage Protection for Confidential Cloud-Native Computing. 141-152 - Xin Tang, Luchao Jin:
Data Splitting Based Double Layer Encryption for Secure Ciphertext Deduplication in Cloud Storage. 153-163 - Apoorve Mohan, Mengmei Ye, Hubertus Franke, Mudhakar Srivatsa, Zhuoran Liu, Nelson Mimura Gonzalez:
Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing Ready? 164-175 - Takumi Yanagawa, Vikas Agarwal, Yuji Watanabe, Lou Degenaro, Anca Sailer:
A Secure Framework for Continuous Compliance across Heterogeneous Policy Validation Points. 176-182 - Linfeng Wen, Minxian Xu, Adel Nadjaran Toosi, Kejiang Ye:
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information. 183-193 - Jiawen Liu, Yuehao Xu, Binbin Feng, Zhijun Ding:
LGDCloudSim: A Resource Management Simulation System for Large-Scale Geographically Distributed Cloud Data Center Scenarios. 194-204 - Kailun Qin, Dawu Gu:
One System Call Hook to Rule All TEE OSes in the Cloud. 205-216 - Pratik Mishra, Sandeep Hans, Diptikalyan Saha, Pratibha Moogi:
Optimizing Cloud Workloads: Autoscaling with Reinforcement Learning. 217-222 - Asif Imran, Tevfik Kosar, Jaroslaw Zola, Muhammed Fatih Bulut:
Towards Sustainable Cloud Software Systems through Energy-Aware Code Smell Refactoring. 223-234 - Amer T. Saeed, Gang Chen, Hui Ma, Qiang Fu:
Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing. 235-246 - Jingzhao Xie, Chongxi Ma, Hongfang Yu, Long Luo, Gang Sun:
Analysis and Optimization for Passive One-way Delay Measurement Tax in Container Networks. 247-255 - Chander Govindarajan, Priyanka Naik, Kavya Govindarajan, Seep Goel, Palanivel Kodeswaran, Sayandeep Sen, Praveen Javachandran:
Syscall Analysis for Resource Stress Identification for Container Network Functions. 256-266 - Wei Ren, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke, Deming Chen:
S2TAR: Shared Secure Trusted Accelerators with Reconfiguration for Machine Learning in the Cloud. 267-278 - Niloofar Sharifisadr, Diwakar Krishnamurthy, Yasaman Amannejad:
A Comparative Analysis of Generative Adversarial Networks for Generating Cloud Workloads. 279-290 - Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow:
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. 291-301 - Wonmi Choi
Harmonia: Accurate Federated Learning with All-Inclusive Dataset. 302-304 - Philipp Raith, Stefan Nastic, Schahram Dustdar:
SimuScale: Optimizing Parameters for Autoscaling of Serverless Edge Functions Through Co-Simulation. 305-315 - Tyler Ekaireb, Lukas Brand, Nagarjun Avaraddy, Markus Mock, Chandra Krintz, Rich Wolski:
Distributed Dataflow Across the Edge-Cloud Continuum. 316-327 - Praveen Rao, Khawar Shehzad:
A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs. 328-335 - Pranjal Gupta, Prateeti Mohapatra, Debanjana Kar, Seema Nagar, Jae-wook Ahn, Amit M. Paradkar, Mudhakar Srivatsa:
Decoding Logs for Automatic Metric Identification. 336-343 - Yi Liu, Ruilin Zhou, Yuhang Gan, Chen Qian:
SpotKV: Improving Read Throughput of KVS by I/O-Aware Cache and Adaptive Cuckoo Filters. 344-354 - Hyeon-Jun Jang, Hyun-Wook Jin:
SlackAuto: Slack-Aware Vertical Autoscaling of CPU Resources for Serverless Computing. 355-364 - Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen:
OS4C: An Open-Source SR-IOV System for SmartNIC-Based Cloud Platforms. 365-375 - Quinn Cooper, Diwakar Krishnamurthy, Yasaman Amannejad:
Budget Aware Performance Test Selection for Microservices. 376-385 - Aishwariya Chakraborty, Chander Govindarajan, Kavya Govindarajan, Priyanka Naik, Seep Goel:
Enabling Programmable Metric Flows. 386-398 - Emanuele Carlini, Patrizio Dazzi, Antonios Makris, Matteo Mordacchini
Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm. 399-403 - Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Prateeti Mohapatra, Brent Paulovicks, Brad Blancett, Arthur De Magalhaes:
CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation. 404-410 - Jinpeng Li, Yunni Xia, Xiaoning Sun, Peng Chen, Xiaobo Li, Jiafeng Feng:
Delay-Aware Service Caching in Edge Cloud: An Adversarial Semi-Bandits Learning-Based Approach. 411-418 - Jeeseob Kim, Honghyeon Yoo, Seungjae Lee, Hongsu Byun, Sungyong Park:
Coordinating Compaction Between LSM-Tree Based Key-Value Stores for Edge Federation. 419-429 - Nnamdi Ekwe-Ekwe, Lucas Amos:
The State of FaaS: An Analysis of Public Functions-as-a-Service Providers. 430-438 - Jiafan Zhu, Xiao Zhang, Konstantinos Menychtas, Zhijing Gene Qin, Steven Hand, Dragos Sbirlea, Yuang Liu:
GASS: GPU Automated Sharing at Scale. 439-445 - Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee, Arkady B. Zaslavsky:
Optimizing Context Caching Using a Novel Hybrid Strategy for Dynamically Monitoring Access Probability. 446-455 - Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee, Tamar Eilam:
Process-Based Efficient Power Level Exporter. 456-467 - Negin Akbari, Adel Nadjaran Toosi, John C. Grundy, Hourieh Khalajzadeh, Mohammad Sadegh Aslanpour, Shashikant Ilager:
iContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum. 468-474 - Hoa T. Nguyen, Muhammad Usman, Rajkumar Buyya:
DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing. 475-481 - Divya Pathak, Mudit Verma, Aishwariya Chakraborty, Harshit Kumar:
Self Adjusting Log Observability for Cloud Native Applications. 482-493 - Jeonghyeon Park, Daero Kim, Jiseon Kim, Jungkyu Han, Sejin Chun:
Carbon-Aware and Fault-Tolerant Migration of Deep Learning Workloads in the Geo-Distributed Cloud. 494-501 - Seyed Morteza Nabavinejad, Sherief Reda, Tian Guo:
MediatorDNN: Contention Mitigation for Co-Located DNN Inference Jobs. 502-512
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