{"id":121,"date":"2024-06-28T15:09:06","date_gmt":"2024-06-28T15:09:06","guid":{"rendered":"https:\/\/cloud.conferences.computer.org\/2024\/?page_id=121"},"modified":"2024-07-09T13:22:44","modified_gmt":"2024-07-09T13:22:44","slug":"program","status":"publish","type":"page","link":"https:\/\/cloud.conferences.computer.org\/2024\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"121\" class=\"elementor elementor-121\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4c7412c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4c7412c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3115094\" data-id=\"3115094\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0b280c0 elementor-widget elementor-widget-text-editor\" data-id=\"0b280c0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2>CLOUD 2024 Technical Program<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-507924b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"507924b\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3b8e196\" data-id=\"3b8e196\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-20eb470 elementor-tabs-view-horizontal elementor-widget elementor-widget-tabs\" data-id=\"20eb470\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-tabs\">\n\t\t\t<div class=\"elementor-tabs-wrapper\" role=\"tablist\" >\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-3451\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-3451\" aria-expanded=\"false\">Monday July 8<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-3452\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3452\" aria-expanded=\"false\">Tuesday July 9<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-3453\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3453\" aria-expanded=\"false\">Wednesday July 10<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-3454\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3454\" aria-expanded=\"false\">Thursday July 11<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-3455\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3455\" aria-expanded=\"false\">Friday July 12<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"elementor-tabs-content-wrapper\" role=\"tablist\" aria-orientation=\"vertical\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-3451\" aria-expanded=\"false\">Monday July 8<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3451\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-3451\" tabindex=\"0\" hidden=\"false\"><p><strong>CLOUD 1: Cloud and AI I<br \/><\/strong><strong>14:00 &#8211; 15:10<\/strong><br \/><strong>Location: Espana I<\/strong><br \/><strong>Session Chair: Pranjal Gupta, IBM (Pranjal.Gupta2@ibm.com)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\">Opening Remarks from the CLOUD Chairs<br \/>Tevfik Kosar, Krishnan Venkateswaran, Shangguang Wang, Seetharami Seelam, Santonu Sarkar, Xuanzhe Liu<\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Fed2PKD: Bridging Model Diversity in Federated Learning via Two-Pronged Knowledge Distillation<br \/>Zaipeng Xie, Han Xu, Xing Gao, Junchen Jiang and Ruiqian Han<\/p><\/td><\/tr><tr><td width=\"432\">Resource Efficient Bayesian Optimization<br \/>Namit Juneja, Varun Chandola, Jaroslaw Zola, Olga Wodo and Parth Desai<\/td><\/tr><tr><td width=\"432\">Improving Federated Learning through Low-Entropy Client Sampling Based on Learned High-Level Features<br \/>Waqwoya Abebe, Pablo Munoz and Ali Jannesari<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 2: Cloud-based Applications<br \/><\/strong><strong>15:40 &#8211; 16:50<\/strong><br \/><strong>Location: Espana I<\/strong><br \/><strong>Session Chair: Zaipeng Xie, Hohai University (zaipengxie@hhu.edu.cn)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Intent-Driven Multi-Engine Observability Dataflows For Heterogeneous Geo-Distributed Clouds<br \/>Aishwariya Chakraborty, Anand Eswaran, Pankaj Thorat, Mudit Verma, Pranjal Gupta and Praveen Jayachandran<\/p><\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">ArcaDB: A Disaggregated Query Engine for Heterogenous Computational Environments<br \/>Kristalys Ruiz Rohena and Manuel Rodriguez Martinez<\/p><\/td><\/tr><tr><td width=\"432\">TraceMesh: Scalable and Streaming Sampling for Distributed Traces<br \/>Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu and Zibin Zheng<\/td><\/tr><tr><td width=\"432\">Predictive Placement of Geo-distributed Blockchain Nodes for Performance Guarantee<br \/>Junseok Lee, Yeonho Yoo, Chuck Yoo and Gyeongsik Yang<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 3: Cloud Service Delivery I<br \/><\/strong><strong>17:00 &#8211; 18:10<\/strong><br \/><strong>Location: Espana I<\/strong><br \/><strong>Session Chair: Zhuangbin Chen, Sun Yat-sen University (chenzhb36@mail.sysu.edu.cn)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Dynamic Workflow Scheduling in the Edge-Cloud Continuum: Optimizing Runtimes under Budget Constraints<br \/>Stefan Pedratscher, Thomas Fahringer and Juan Aznar Poveda<\/p><\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">FastMig: Leveraging FastFreeze to Establish Robust Service Liquidity in Cloud 2.0<br \/>Sorawit Manatura, Thanawat Chanikaphon, Chantana Chantrapornchai and Salehi Mohsen Amini<\/p><\/td><\/tr><tr><td width=\"432\">Telemetry-Driven Microservices Orchestration in Cloud-Edge Environments<br \/>Angelo Marchese and Orazio Tomarchio<\/td><\/tr><tr><td width=\"432\">Rethinking Application Container Networking in a Multi-cluster world<br \/>Chander Govindarajan, Priyanka Naik, Kavya Govindarajan and Seep Goel<\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3452\" aria-expanded=\"false\">Tuesday July 9<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3452\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-3452\" tabindex=\"0\" hidden=\"hidden\"><strong>CLOUD 4: Cloud Infrastructure I\n<\/strong><strong>14:00 &#8211; 15:10<\/strong>\n<strong>Location: Espana I<\/strong>\n<strong>Session Chair: Ardhi Putra Pratama Hartono, TU Dresden\u00a0(ardhipoetra@yahoo.com)\n<\/strong>\n<table width=\"432\">\n<tbody>\n<tr>\n<td width=\"432\">Optimizing simultaneous autoscaling for serverless cloud computing\nHarold Ship, Evgeny Shindin, Chen Wang, Diana Arroyo and Asser Tantawi<\/td>\n<\/tr>\n<tr>\n<td width=\"432\">\n<p class=\"m_-7698813241687961282MsoPlainText\">UniNet: Accelerating the Container Network Data Plane in IaaS Clouds\nYuan Ma, Scott Smith, Bill Dai, Hubertus Franke, Bharat Sukhwani, Sameh Asaad, Jinjun Xiong, Volodymyr Kindratenko and Deming Chen<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"432\">Availability-guarantee and Traffic Optimization Virtual Machine Placement in 5G Cloud Datacenters\nWencong Yang, Shouyi Yang, Yi Yue, Tian Chen and Wanming Hao<\/td>\n<\/tr>\n<tr>\n<td width=\"432\">The Impact of Low-Entropy on Chunking Techniques for Data Deduplication\nMu&#8217;Men Al Jarah, Sreeharsha Udayashankar, Abdelrahman Baba and Samer Al-Kiswany<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<strong>CLOUD 5: Cloud Security I\n<\/strong><strong>15:40 &#8211; 16:50<\/strong>\n<strong>Location: Espana I<\/strong>\n<strong>Session Chair: Evgeny Shindin, IBM Research \u2013 Israel\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 (evgensh@il.ibm.com)\n<\/strong>\n<table width=\"432\">\n<tbody>\n<tr>\n<td width=\"432\">CRISP: Confidentiality, Rollback, and Integrity Storage Protection for Confidential Cloud-Native Computing\nArdhi Putra Pratama Hartono, Andrey Brito and Christof Fetzer<\/td>\n<\/tr>\n<tr>\n<td width=\"432\">\n<p class=\"m_-7698813241687961282MsoPlainText\">Data Splitting based Double Layer Encryption for Secure Ciphertext Deduplication in Cloud Storage\nXin Tang and Luchao Jin<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"432\">Securing AI Inference in the Cloud: Is CPU-GPU Confidential Computing Ready?\nApoorve Mohan, Mengmei Ye, Hubertus Franke, Mudhakar Srivatsa, Zhuoran Liu and Nelson Gonzalez<\/td>\n<\/tr>\n<tr>\n<td width=\"432\">A Secure Framework for Continuous Compliance across Heterogeneous Policy Validation Points\nTakumi Yanagawa, Vikas Agarwal, Yuji Watanabe, Lou DeGenaro and Anca Sailer<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3453\" aria-expanded=\"false\">Wednesday July 10<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3453\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-3453\" tabindex=\"0\" hidden=\"hidden\"><p><a href=\"https:\/\/edge.conferences.computer.org\/2024\/cloud-edge-keynote\/\"><strong>Joint CLOUD\/EDGE Keynote<\/strong><\/a><br \/><strong>14:00 &#8211; 15:10<\/strong><br \/><strong>Location: Espana I<\/strong><br \/><strong>Session Chair: TBD<\/strong><\/p><table><tbody><tr><td>Neoteric Frontiers in Cloud Computing<br \/>Rajkumar Buyya, University of Melbourne<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 6: Cloud Management &amp; Operations I<br \/><\/strong><strong>15:40 &#8211; 16:50<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Bahman Javadi, Western Sydney University (bjavadi@gmail.com)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information<br \/>Linfeng Wen, Minxian Xu, Adel N. Toosi and Kejiang Ye<\/p><\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">LGDCloudSim: A resource management simulation system for large-scale geographically distributed cloud data center scenarios<br \/>Jiawen Liu, Yuehao Xu, Binbin Feng and Zhijun Ding<\/p><\/td><\/tr><tr><td width=\"432\">One System Call Hook to Rule All TEE OSes in the Cloud<br \/>Kailun Qin and Dawu Gu<\/td><\/tr><tr><td width=\"432\">Optimizing Cloud Workloads: Autoscaling with Reinforcement Learning<br \/>Pratik Mishra, Sandeep Hans, Diptikalyan Saha and Pratibha Moogi<\/td><\/tr><\/tbody><\/table><p><strong>Session: Special Event- IEEE CLOUD 2024 Collaboration Award Ceremony<\/strong><br \/><strong>17:00-17:30<\/strong><br \/><strong>Location: TBA<\/strong><br \/><strong>Session Chair: Zhi Jin<br \/><\/strong><\/p><p>Name:\u00a0Zhenfeng\u00a0Gao<br \/>Company:\u00a0Sangfor\u00a0Technologies\u00a0Inc.<br \/>Position:\u00a0Director\u00a0of\u00a0AI\u00a0Product\u00a0Planning,\u00a0Sangfor\u00a0Cloud\u00a0BG<br \/>Speech\u00a0topic:\u00a0Evolving\u00a0Cloud\u00a0for\u00a0the\u00a0AI\u00a0Era<br \/>Personal\u00a0Introduction:\u00a0Zhenfeng\u00a0Gao\u00a0received\u00a0the\u00a0PhD\u00a0degree\u00a0from\u00a0Tsinghua\u00a0University,\u00a0in\u00a02018.\u00a0His\u00a0research\u00a0interests\u00a0include\u00a0service\u00a0computing,\u00a0artificial\u00a0intelligence\u00a0and\u00a0cloud\u00a0computing.\u00a0After\u00a0graduation,\u00a0he\u00a0joined\u00a0Sangfor\u00a0Technology\u00a0as\u00a0a\u00a0technical\u00a0expert,\u00a0spearheading\u00a0the\u00a0AI\u00a0strategic\u00a0planning\u00a0and\u00a0team\u00a0building,\u00a0and\u00a0driving\u00a0innovative\u00a0applications\u00a0of\u00a0AI\u00a0in\u00a0the\u00a0fields\u00a0of\u00a0cybersecurity\u00a0and\u00a0cloud\u00a0computing.\u00a0Currently,\u00a0he\u00a0is\u00a0responsible\u00a0for\u00a0product\u00a0planning\u00a0in\u00a0the\u00a0AI\u00a0direction\u00a0at\u00a0Sangfor&#8217;s\u00a0Cloud\u00a0Business\u00a0Group.<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3454\" aria-expanded=\"false\">Thursday July 11<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3454\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-3454\" tabindex=\"0\" hidden=\"hidden\"><p><strong>CLOUD 7: Cloud Management &amp; Operations II<br \/><\/strong><strong>9:00 &#8211; 10:10<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Xuan Lu, University of Arizona (luxuan@arizona.edu)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Towards Sustainable Cloud Software Systems through Energy-Aware Code Smell Refactoring<br \/>Asif Imran, Tevfik Kosar, Jaroslaw Zola, Muhammed Fatih Bulut<\/p><\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Genetic Algorithm with Repair Method for Deadline-Constrained IoT Workflow Scheduling in Fog-Cloud Computing<br \/>Amer Saeed, Gang Chen, Hui Ma and Qiang Fu<\/p><\/td><\/tr><tr><td width=\"432\">Analysis and Optimization for Passive One-way Delay Measurement Tax in Container Networks<br \/>Jingzhao Xie, Chongxi Ma, Hongfang Yu, Long Luo and Gang Sun<\/td><\/tr><tr><td width=\"432\">Syscall Analysis for Resource Stress Identification for Container Network Functions<br \/>Chander Govindarajan, Priyanka Naik, Kavya Govindarajan, Seep Goel, Palanivel Kodeswaran, Sayandeep Sen and Praveen Jayachandran<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 8: Cloud and AI II<br \/><\/strong><strong>10:40 &#8211; 11:50<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Adel N. Toosi, University of Melbourne (adel.toosi@unimelb.edu.au)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\">S2TAR-Cloud: Shared Secure Trusted Accelerators with Reconfiguration for Machine Learning in the Cloud<br \/>Wei Ren, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke and Deming Chen<\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">A Comparative Analysis of Generative Adversarial Networks for Generating Cloud Workloads<br \/>Niloofar Sharifisadr, Diwakar Krishnamurthy and Yasaman Amannejad<\/p><\/td><\/tr><tr><td width=\"432\">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<\/td><\/tr><tr><td width=\"432\">Harmonia: Accurate Federated Learning with All-Inclusive Dataset<br \/>Wonmi Choi, Juyoung Ahn, Yeonho Yoo, Chuck Yoo, and Gyeongsik Yang<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 9: Cloud-based Applications II<br \/><\/strong><strong>14:00 &#8211; 15:10<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Pooja Aggarwal, IBM (Aggarwal.Pooja@in.ibm.com)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">SimuScale: Optimizing Parameters for Autoscaling of Serverless Edge Functions through Co-Simulation<br \/>Philipp Raith, Stefan Nastic and Schahram Dustdar<\/p><\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Distributed Dataflow Across the Edge-Cloud Continuum<br \/>Chandra Krintz, Rich Wolski, Markus Mock, Tyler Ekaireb, Lukas Brand and Nagarjun Avaraddy<\/p><\/td><\/tr><tr><td width=\"432\">A Technique for Secure Variant Calling on Human Genome Sequences Using SmartNICs<br \/>Praveen Rao and Khawar Shehzad<\/td><\/tr><tr><td width=\"432\">Decoding Logs for Automatic Metric Identification<br \/>Pranjal Gupta, Prateeti Mohapatra, Debanjana Kar, Seema Nagar, Jae-wook Ahn, Amit Paradkar and Mudhakar Srivasta<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 12: Cloud Infrastructure II<br \/><\/strong><strong>14:00 &#8211; 15:10<\/strong><br \/><strong>Location: Madrid 7<\/strong><br \/><strong>Session Chair: Boris Sedlak , TU Wien (bsedlak01@gmail.com)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">SpotKV: Improving Read Throughput of KVS by I\/O-aware Cache and Adaptive Cuckoo Filters<br \/>Yi Liu, Ruilin Zhou, Yuhang Gan and Chen Qian<\/p><\/td><\/tr><tr><td width=\"432\">SlackAuto: Slack-Aware Vertical Autoscaling of CPU Resources for Serverless Computing<br \/>Hyeon-Jun Jang and Hyun-Wook Jin<\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms<br \/>Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr Kindratenko and Deming Chen<\/p><\/td><\/tr><tr><td width=\"432\">\u00a0<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 10: Cloud-based Applications III<br \/><\/strong><strong>15:40 &#8211; 16:50<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: <\/strong><strong>Ashish Manchanda, Swinburne University of Technology (manchandaa45@gmail.com)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Budget Aware Performance Testing of Microservices<br \/>Quinn Cooper, Yasaman Amannejad and Diwakar Krishnamurthy<\/p><\/td><\/tr><tr><td width=\"432\">Enabling Programmable Metric Flows<br \/>Aishwariya Chakraborty, Kavya Govindarajan, Chander Govindarajan, Priyanka Naik and Seep Goel<\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Efficient Application Image Management in the Compute Continuum: A Vertex Cover Approach Based on the Think-Like-A-Vertex Paradigm<br \/>Emanuele Carlini, Patrizio Dazzi, Antonios Makris, Matteo Mordacchini, Theodoros Theodoropoulos and Konstantinos Tserpes<\/p><\/td><\/tr><tr><td width=\"432\">CodeSift: An LLM-Based Reference-Less Framework for Automatic Code Validation<br \/>Pooja Aggarwal, Oishik Chatterjee, Ting Dai, Prateeti Mohapatra, Brent Paulovicks, Brad Blancett and Arthur De Magalhaes<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 13: Cloud Service Delivery II<br \/><\/strong><strong>15:40 &#8211; 16:50<\/strong><br \/><strong>Location: Madrid 7<\/strong><br \/><strong>Session Chair: Chen Qian, University of California Santa Cruz (cqian12@ucsc.edu)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\">Delay-Aware Service Caching in Edge Cloud: An Adversarial Seni-Bandits Learning-based Approach<br \/>Jinpeng Li, Yunni Xia, Xiaoning Sun, Peng Chen, Xiaobo Li and Jiafeng Feng<\/td><\/tr><tr><td width=\"432\">Coordinating Compaction between LSM-tree based Key-Vallue Stores for Edge Federation<br \/>Jeeseob Kim, Honghyeon Yoo, Seungjae Lee, Hongsu Byun and Sungyong Park<\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">The State of FaaS: An analysis of public Functions-as-a-Service providers<br \/>Nnamdi Ekwe-Ekwe and Lucas Amos<\/p><\/td><\/tr><tr><td width=\"432\">GASS: GPU Automated Sharing at Scale<br \/>Jiafan Zhu, Xiao Zhang, Konstantinos Menychtas, Zhijing Gene Qin, Steven Hand, Dragos Sbirlea and Yuang Liu<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 11: Cloud-based Applications IV<br \/><\/strong><strong>17:00 &#8211; 18:10<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Zaipeng Xie, Hohai University (zaipengxie@hhu.edu.cn )<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Optimizing Context Caching using a Novel Hybrid Strategy for Dynamically Monitoring Access Probability<br \/>Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee and Arkady Zaslavsky<\/p><\/td><\/tr><tr><td width=\"432\">Process-based Efficient Power Level Exporter<br \/>Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee and Tamar Eilam<\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">iContinuum: An Emulation Toolkit for Intent-Based Computing Across the Edge-to-Cloud Continuum<br \/>Negin Akbari, Adel N.Toosi, John Grundy, Hourieh Khalajzadeh, Mohammad Sadegh Aslanpour and Shashikant Ilager<\/p><\/td><\/tr><tr><td width=\"432\">DRLQ: A Deep Reinforcement Learning-based Task Placement for Quantum Cloud Computing<br \/>Hoa Nguyen, Muhammad Usman and Rajkumar Buyya<\/td><\/tr><\/tbody><\/table><p><strong>CLOUD 14: Cloud-based Applications V<br \/><\/strong><strong>17:00 &#8211; 18:10<\/strong><br \/><strong>Location: Madrid 7<\/strong><br \/><strong>Session Chair: Massimiliano Garda, University of Bresica (massimilano.garda@unibs.it)<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">Self Adjusting Log Observability for Cloud Native Applications<br \/>Divya Pathak, Mudit Verma, Aishwariya Chakraborty and Harshit Kumar<\/p><\/td><\/tr><tr><td width=\"432\">Carbon-Aware and Fault-Tolerant Migration of Deep Learning Workloads in the Geo-Distributed Cloud<br \/>Jeonghyeon Park, Daero Kim, Jiseon Kim, Jungkyu Han and Sejin Chun<\/td><\/tr><tr><td width=\"432\"><p class=\"m_-7698813241687961282MsoPlainText\">MediatorDNN: Contention Mitigation for Co-located DNN Inference Jobs<br \/>Seyed Morteza Nabavinejad, Sherief Reda and Tian Guo<\/p><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-3455\" aria-expanded=\"false\">Friday July 12<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3455\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-3455\" tabindex=\"0\" hidden=\"hidden\"><h3>IEEE CLOUD 2024 Symposium on Cloud &amp; AI<\/h3><p><strong>Session 1: AI for Cloud Operations Transformation<br \/><\/strong><strong>9:00 &#8211; 10:10<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Asim Hussain<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p>AIOps: A Journey through Log Anomaly Detection for M365 Suite Using Deep Learning and LLMs<br \/>Bouchra Bouqata &#8211; Principal ML and AI Scientist, Microsoft Azure Research<\/p><\/td><\/tr><tr><td width=\"432\"><p>Vela: A Cloud-native Supercomputer That Is Powering IBM\u2019s Watsonx<br \/>Seelam Seetharami &#8211; Principal Research Staff Member, IBM Research<\/p><\/td><\/tr><tr><td width=\"432\">Optimizing Neural Network Inference through Multi-level Software Stacks<br \/>Quan Chen &#8211; Professor, Shanghai Jiao Tong University<\/td><\/tr><\/tbody><\/table><p><strong>Session 2: Cloud for AI Training &amp; Inference<br \/><\/strong><strong>10:40 &#8211; 11:50<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Shaoshan Liu<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p>\u00a0Training Modern LLMs from Scratch<br \/>Jonathan Frankle &#8211; Chief AI Scientist, Databricks<\/p><\/td><\/tr><tr><td width=\"432\"><p>Best Practices of Large Language Models Training in PAI Platform<br \/>Yong Li &#8211; Senior Staff Engineer, Alibaba<\/p><\/td><\/tr><tr><td width=\"432\"><p>Solution Adoption and Performance Optimization for LLMs Training and Inference Applications<br \/>Shuang Liu &#8211; HPC and AI Director, Paratera<\/p><\/td><\/tr><\/tbody><\/table><p><strong>Session 3: Sustainable AI in the Cloud and Edge<br \/><\/strong><strong>14:00 &#8211; 15:10<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Quan Chen<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p>Sustainable AI in the Cloud<br \/>Uma Maheshwari &#8211; IBM Research India<\/p><\/td><\/tr><tr><td width=\"432\"><p>Doing for sustainability, what open source did for software<br \/>Asim Hussain, Executive Director, Green Software Foundation<\/p><\/td><\/tr><tr><td width=\"432\"><p>Building Embodied Artificial Intelligence Systems<br \/>Shaoshan Liu &#8211; Director of Embodied Artificial Intelligence, Shenzhen Institute of Artificial Intelligence and Robotics for Society<\/p><\/td><\/tr><\/tbody><\/table><p><strong>Session 4: Cloud and LLM\/FM Based Code Generation<br \/><\/strong><strong>15:40 &#8211; 16:50<\/strong><br \/><strong>Location: Madrid 5<\/strong><br \/><strong>Session Chair: Guangtai Liang<br \/><\/strong><\/p><table width=\"432\"><tbody><tr><td width=\"432\"><p>Huawei Cloud&#8217;s Practice and Experience Sharing on intelligent programming techniques<br \/>Guangtai Liang &#8211; Leader of Software Analysis Lab, Huawei<\/p><\/td><\/tr><tr><td width=\"432\"><p>LLM-based Test Generation for Hard-to-Cover Branches<br \/>Junjie Chen &#8211; Associate Professor, Tianjin University<\/p><\/td><\/tr><tr><td width=\"432\"><p>Concerned with Data Contamination? Assessing Countermeasures in Code Language Model<br \/>Jialun Cao &#8211; Research Assistant Professor, Hong Kong University of Science and Technology<\/p><\/td><\/tr><\/tbody><\/table><p><strong>Session 5: Session 5: Panel Discussion: When AI Meets Cloud: Challenges &amp;\u00a0<b>Opportunities<\/b><br \/>17:00 &#8211; 18:10<\/strong><br \/><strong>Location: Madrid 5<br \/>Panel Moderator: Ziliang Zong<\/strong><\/p><p>Panelists:<\/p><p>Asim Hussain &#8211; Executive Director, Green Software Foundation<\/p><p>Shuang Liu &#8211; HPC and AI Director, Paratera<\/p><p>Quan Chen &#8211; Professor, Shanghai Jiao Tong University<\/p><div>Bouchra Bouqata \u2013 Principal ML and AI Scientist, Microsoft Azure Research<\/div><p>Junjie Chen &#8211; Associate Professor, Tianjin University<\/p><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>CLOUD 2024 Technical Program \/*! 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