CLOUD 2024 Technical Program
CLOUD 1: Cloud and AI I
14:00 – 15:10
Location: Espana I
Session Chair: Pranjal Gupta, IBM ([email protected])
| Opening Remarks from the CLOUD Chairs Tevfik Kosar, Krishnan Venkateswaran, Shangguang Wang, Seetharami Seelam, Santonu Sarkar, Xuanzhe Liu |
Fed2PKD: Bridging Model Diversity in Federated Learning via Two-Pronged Knowledge Distillation |
| Resource Efficient Bayesian Optimization Namit Juneja, Varun Chandola, Jaroslaw Zola, Olga Wodo and Parth Desai |
| Improving Federated Learning through Low-Entropy Client Sampling Based on Learned High-Level Features Waqwoya Abebe, Pablo Munoz and Ali Jannesari |
CLOUD 2: Cloud-based Applications
15:40 – 16:50
Location: Espana I
Session Chair: Zaipeng Xie, Hohai University ([email protected])
Intent-Driven Multi-Engine Observability Dataflows For Heterogeneous Geo-Distributed Clouds |
ArcaDB: A Disaggregated Query Engine for Heterogenous Computational Environments |
| TraceMesh: Scalable and Streaming Sampling for Distributed Traces Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu and Zibin Zheng |
| Predictive Placement of Geo-distributed Blockchain Nodes for Performance Guarantee Junseok Lee, Yeonho Yoo, Chuck Yoo and Gyeongsik Yang |
CLOUD 3: Cloud Service Delivery I
17:00 – 18:10
Location: Espana I
Session Chair: Zhuangbin Chen, Sun Yat-sen University ([email protected])
Dynamic Workflow Scheduling in the Edge-Cloud Continuum: Optimizing Runtimes under Budget Constraints |
FastMig: Leveraging FastFreeze to Establish Robust Service Liquidity in Cloud 2.0 |
| Telemetry-Driven Microservices Orchestration in Cloud-Edge Environments Angelo Marchese and Orazio Tomarchio |
| Rethinking Application Container Networking in a Multi-cluster world Chander Govindarajan, Priyanka Naik, Kavya Govindarajan and Seep Goel |
| Optimizing simultaneous autoscaling for serverless cloud computing Harold Ship, Evgeny Shindin, Chen Wang, Diana Arroyo and Asser Tantawi |
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UniNet: Accelerating the Container Network Data Plane in IaaS Clouds Yuan Ma, Scott Smith, Bill Dai, Hubertus Franke, Bharat Sukhwani, Sameh Asaad, Jinjun Xiong, Volodymyr Kindratenko and Deming Chen |
| Availability-guarantee and Traffic Optimization Virtual Machine Placement in 5G Cloud Datacenters Wencong Yang, Shouyi Yang, Yi Yue, Tian Chen and Wanming Hao |
| The Impact of Low-Entropy on Chunking Techniques for Data Deduplication Mu’Men Al Jarah, Sreeharsha Udayashankar, Abdelrahman Baba and Samer Al-Kiswany |
| CRISP: Confidentiality, Rollback, and Integrity Storage Protection for Confidential Cloud-Native Computing Ardhi Putra Pratama Hartono, Andrey Brito and Christof Fetzer |
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Data Splitting based Double Layer Encryption for Secure Ciphertext Deduplication in Cloud Storage Xin Tang and Luchao Jin |
| Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing Ready? Apoorve Mohan, Mengmei Ye, Hubertus Franke, Mudhakar Srivatsa, Zhuoran Liu and Nelson Gonzalez |
| A Secure Framework for Continuous Compliance across Heterogeneous Policy Validation Points Takumi Yanagawa, Vikas Agarwal, Yuji Watanabe, Lou DeGenaro and Anca Sailer |
Joint CLOUD/EDGE Keynote
14:00 – 15:10
Location: Espana I
Session Chair: TBD
| Neoteric Frontiers in Cloud Computing Rajkumar Buyya, University of Melbourne |
CLOUD 6: Cloud Management & Operations I
15:40 – 16:50
Location: Madrid 5
Session Chair: Bahman Javadi, Western Sydney University ([email protected])
TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information |
LGDCloudSim: A resource management simulation system for large-scale geographically distributed cloud data center scenarios |
| One System Call Hook to Rule All TEE OSes in the Cloud Kailun Qin and Dawu Gu |
| Optimizing Cloud Workloads: Autoscaling with Reinforcement Learning Pratik Mishra, Sandeep Hans, Diptikalyan Saha and Pratibha Moogi |
Session: Special Event- IEEE CLOUD 2024 Collaboration Award Ceremony
17:00-17:30
Location: TBA
Session Chair: Zhi Jin
Name: Zhenfeng Gao
Company: Sangfor Technologies Inc.
Position: Director of AI Product Planning, Sangfor Cloud BG
Speech topic: Evolving Cloud for the AI Era
Personal Introduction: Zhenfeng Gao received the PhD degree from Tsinghua University, in 2018. His research interests include service computing, artificial intelligence and cloud computing. After graduation, he joined Sangfor Technology as a technical expert, spearheading the AI strategic planning and team building, and driving innovative applications of AI in the fields of cybersecurity and cloud computing. Currently, he is responsible for product planning in the AI direction at Sangfor’s Cloud Business Group.
CLOUD 7: Cloud Management & Operations II
9:00 – 10:10
Location: Madrid 5
Session Chair: Xuan Lu, University of Arizona ([email protected])
Towards Sustainable Cloud Software Systems through Energy-Aware Code Smell Refactoring |
Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing |
| Analysis and Optimization for Passive One-way Delay Measurement Tax in Container Networks Jingzhao Xie, Chongxi Ma, Hongfang Yu, Long Luo and Gang Sun |
| Syscall Analysis for Resource Stress Identification for Container Network Functions Chander Govindarajan, Priyanka Naik, Kavya Govindarajan, Seep Goel, Palanivel Kodeswaran, Sayandeep Sen and Praveen Jayachandran |
CLOUD 8: Cloud and AI II
10:40 – 11:50
Location: Madrid 5
Session Chair: Adel N. Toosi, University of Melbourne ([email protected])
| S2TAR-Cloud: Shared Secure Trusted Accelerators with Reconfiguration for Machine Learning in the Cloud Wei Ren, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke and Deming Chen |
A Comparative Analysis of Generative Adversarial Networks for Generating Cloud Workloads |
| SAM: Subseries Augmentation-based Meta-learning for Generalizing AIOps Model in Multi-Cloud MigrationXi Yang, Paulito Palmes, Saurabh Jha, Bekir Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng and Daby Sow |
| Harmonia: Accurate Federated Learning with All-Inclusive Dataset Wonmi Choi, Juyoung Ahn, Yeonho Yoo, Chuck Yoo, and Gyeongsik Yang |
CLOUD 9: Cloud-based Applications II
14:00 – 15:10
Location: Madrid 5
Session Chair: Pooja Aggarwal, IBM ([email protected])
SimuScale: Optimizing Parameters for Autoscaling of Serverless Edge Functions through Co-Simulation |
Distributed Dataflow Across the Edge-Cloud Continuum |
| A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs Praveen Rao and Khawar Shehzad |
| Decoding Logs for Automatic Metric Identification Pranjal Gupta, Prateeti Mohapatra, Debanjana Kar, Seema Nagar, Jae-wook Ahn, Amit Paradkar and Mudhakar Srivasta |
CLOUD 12: Cloud Infrastructure II
14:00 – 15:10
Location: Madrid 7
Session Chair: Boris Sedlak , TU Wien ([email protected])
SpotKV: Improving Read Throughput of KVS by I/O-aware Cache and Adaptive Cuckoo Filters |
| SlackAuto: Slack-Aware Vertical Autoscaling of CPU Resources for Serverless Computing Hyeon-Jun Jang and Hyun-Wook Jin |
OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms |
CLOUD 10: Cloud-based Applications III
15:40 – 16:50
Location: Madrid 5
Session Chair: Ashish Manchanda, Swinburne University of Technology ([email protected])
Budget Aware Performance Testing of Microservices |
| Enabling Programmable Metric Flows Aishwariya Chakraborty, Kavya Govindarajan, Chander Govindarajan, Priyanka Naik and Seep Goel |
Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm |
| CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Prateeti Mohapatra, Brent Paulovicks, Brad Blancett and Arthur De Magalhaes |
CLOUD 13: Cloud Service Delivery II
15:40 – 16:50
Location: Madrid 7
Session Chair: Chen Qian, University of California Santa Cruz ([email protected])
| Delay-Aware Service Caching in Edge Cloud: An Adversarial Seni-Bandits Learning-based Approach Jinpeng Li, Yunni Xia, Xiaoning Sun, Peng Chen, Xiaobo Li and Jiafeng Feng |
| Coordinating Compaction between LSM-tree based Key-Vallue Stores for Edge Federation Jeeseob Kim, Honghyeon Yoo, Seungjae Lee, Hongsu Byun and Sungyong Park |
The State of FaaS: An analysis of public Functions-as-a-Service providers |
| GASS: GPU Automated Sharing at Scale Jiafan Zhu, Xiao Zhang, Konstantinos Menychtas, Zhijing Gene Qin, Steven Hand, Dragos Sbirlea and Yuang Liu |
CLOUD 11: Cloud-based Applications IV
17:00 – 18:10
Location: Madrid 5
Session Chair: Zaipeng Xie, Hohai University ([email protected] )
Optimizing Context Caching using a Novel Hybrid Strategy for Dynamically Monitoring Access Probability |
| Process-based Efficient Power Level Exporter Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee and Tamar Eilam |
iContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum |
| DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing Hoa Nguyen, Muhammad Usman and Rajkumar Buyya |
CLOUD 14: Cloud-based Applications V
17:00 – 18:10
Location: Madrid 7
Session Chair: Massimiliano Garda, University of Bresica ([email protected])
Self Adjusting Log Observability for Cloud Native Applications |
| Carbon-Aware and Fault-Tolerant Migration of Deep Learning Workloads in the Geo-Distributed Cloud Jeonghyeon Park, Daero Kim, Jiseon Kim, Jungkyu Han and Sejin Chun |
MediatorDNN: Contention Mitigation for Co-located DNN Inference Jobs |
IEEE CLOUD 2024 Symposium on Cloud & AI
Session 1: AI for Cloud Operations Transformation
9:00 – 10:10
Location: Madrid 5
Session Chair: Asim Hussain
AIOps: A Journey through Log Anomaly Detection for M365 Suite Using Deep Learning and LLMs |
Vela: A Cloud-native Supercomputer That Is Powering IBM’s Watsonx |
| Optimizing Neural Network Inference through Multi-level Software Stacks Quan Chen – Professor, Shanghai Jiao Tong University |
Session 2: Cloud for AI Training & Inference
10:40 – 11:50
Location: Madrid 5
Session Chair: Shaoshan Liu
Training Modern LLMs from Scratch |
Best Practices of Large Language Models Training in PAI Platform |
Solution Adoption and Performance Optimization for LLMs Training and Inference Applications |
Session 3: Sustainable AI in the Cloud and Edge
14:00 – 15:10
Location: Madrid 5
Session Chair: Quan Chen
Sustainable AI in the Cloud |
Doing for sustainability, what open source did for software |
Building Embodied Artificial Intelligence Systems |
Session 4: Cloud and LLM/FM Based Code Generation
15:40 – 16:50
Location: Madrid 5
Session Chair: Guangtai Liang
Huawei Cloud’s Practice and Experience Sharing on intelligent programming techniques |
LLM-based Test Generation for Hard-to-Cover Branches |
Concerned with Data Contamination? Assessing Countermeasures in Code Language Model |
Session 5: Session 5: Panel Discussion: When AI Meets Cloud: Challenges & Opportunities
17:00 – 18:10
Location: Madrid 5
Panel Moderator: Ziliang Zong
Panelists:
Asim Hussain – Executive Director, Green Software Foundation
Shuang Liu – HPC and AI Director, Paratera
Quan Chen – Professor, Shanghai Jiao Tong University
Junjie Chen – Associate Professor, Tianjin University
