{"id":559,"date":"2025-06-18T22:56:49","date_gmt":"2025-06-18T22:56:49","guid":{"rendered":"https:\/\/services.conferences.computer.org\/2026\/?page_id=559"},"modified":"2026-07-10T13:46:43","modified_gmt":"2026-07-10T13:46:43","slug":"cloud-program","status":"publish","type":"page","link":"https:\/\/services.conferences.computer.org\/2026\/cloud-program\/","title":{"rendered":"CLOUD Program"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"559\" class=\"elementor elementor-559\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2f76da1d e-flex e-con-boxed e-con e-parent\" data-id=\"2f76da1d\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6da02c6e e-con-full e-flex e-con e-child\" data-id=\"6da02c6e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6ed61304 elementor-widget elementor-widget-text-editor\" data-id=\"6ed61304\" 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<h5><strong>Part of the 2026 IEEE World Congress on SERVICES<\/strong><\/h5><h5><strong>July 13-18<br \/><\/strong><strong>Sydney, Australia<\/strong><\/h5>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5eff9b0b elementor-button-info elementor-align-center elementor-widget elementor-widget-button\" data-id=\"5eff9b0b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/cloud\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Home<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bf852c4 elementor-button-info elementor-align-center elementor-widget elementor-widget-button\" data-id=\"bf852c4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/cloud\/cloud-program\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">CLOUD Program<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e70c8b7 elementor-button-info elementor-align-center elementor-widget elementor-widget-button\" data-id=\"1e70c8b7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/cloud\/cloud-call-for-papers\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Call for Papers<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-26e05bfd elementor-button-info elementor-align-center elementor-widget elementor-widget-button\" data-id=\"26e05bfd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/services.conferences.computer.org\/2026\/cloud\/cloud-organizers\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">CLOUD Organizers<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-21f9cee2 e-con-full e-flex e-con e-child\" data-id=\"21f9cee2\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1fe313a8 elementor-widget elementor-widget-heading\" data-id=\"1fe313a8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">IEEE INTERATIONAL CONFERENCE ON CLOUD COMPUTING<BR>\nCLOUD 2026 - Conference Program<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5f048e e-n-tabs-mobile elementor-widget elementor-widget-n-tabs\" data-id=\"a5f048e\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;horizontal_scroll&quot;:&quot;disable&quot;}\" data-widget_type=\"nested-tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"e-n-tabs\" data-widget-number=\"173999246\" aria-label=\"Tabs. Open items with Enter or Space, close with Escape and navigate using the Arrow keys.\">\n\t\t\t<div class=\"e-n-tabs-heading\" role=\"tablist\">\n\t\t\t\t\t<button id=\"e-n-tab-title-1739992461\" data-tab-title-id=\"e-n-tab-title-1739992461\" class=\"e-n-tab-title\" aria-selected=\"true\" data-tab-index=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"e-n-tab-content-1739992461\" style=\"--n-tabs-title-order: 1;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 13\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-1739992462\" data-tab-title-id=\"e-n-tab-title-1739992462\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-1739992462\" style=\"--n-tabs-title-order: 2;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 14\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-1739992463\" data-tab-title-id=\"e-n-tab-title-1739992463\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-1739992463\" style=\"--n-tabs-title-order: 3;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 15\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-1739992464\" data-tab-title-id=\"e-n-tab-title-1739992464\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-1739992464\" style=\"--n-tabs-title-order: 4;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 16\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t<button id=\"e-n-tab-title-1739992465\" data-tab-title-id=\"e-n-tab-title-1739992465\" class=\"e-n-tab-title\" aria-selected=\"false\" data-tab-index=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"e-n-tab-content-1739992465\" style=\"--n-tabs-title-order: 5;\">\n\t\t\t\t\t\t<span class=\"e-n-tab-title-text\">\n\t\t\t\tJuly 17\t\t\t<\/span>\n\t\t<\/button>\n\t\t\t\t\t<\/div>\n\t\t\t<div class=\"e-n-tabs-content\">\n\t\t\t\t<div id=\"e-n-tab-content-1739992461\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-1739992461\" data-tab-index=\"1\" style=\"--n-tabs-title-order: 1;\" class=\"e-active elementor-element elementor-element-cc188d2 e-con-full e-flex e-con e-child\" data-id=\"cc188d2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-e6e57b2 e-flex e-con-boxed e-con e-child\" data-id=\"e6e57b2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c4999f3 elementor-widget elementor-widget-text-editor\" data-id=\"c4999f3\" 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<p><b>09:00 &#8211; 10:10<\/b><\/p><p><b>CLD-CON-S1<\/b><\/p><p><b>Orchestration &amp; Cloud Continuum<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Zhiying Tu (Harbin Institute of Technology)\u2002<\/span><\/b><\/p><p><b>Opening Remarks<\/b><\/p><p><b>Hubertus Franke, IBM Research, IEEE Cloud General Chair<\/b><\/p><p style=\"text-align: left\"><em>CLD_REG_131: A Hybrid Approach for Intent-Driven Recommendation of CEI Orchestration Frameworks<\/em><\/p><p style=\"text-align: left\"><em>Chaimaa Zidane, Hayet Brabra, Imen Jerbi, Elimane Yassine Seidou, Ali Nour Eldin, Mohamed Sellami and Walid Gaaloul<\/em><\/p><p style=\"text-align: left\"><em>CLD_REG_128: Intent-Aware Multi-Domain Cloud Continuum Coordination through Hierarchical Deep Reinforcement Learning<\/em><\/p><p style=\"text-align: left\"><em>Anna Lackinger, Andrea Morichetta and Schahram Dustdar<\/em><\/p><p style=\"text-align: left\"><em>CLD_SHT_20: Aura: A Type-Safe, Multi-Paradigm Cloud Simulation Framework in Scala 3<\/em><\/p><p style=\"text-align: left\"><em>Andrea Cappelletti<\/em><\/p><p style=\"text-align: left\"><em>CLD_WIP_74: A Neurosymbolic Prolog Skill for LLM-Driven Service Placement<\/em><\/p><p style=\"text-align: left\"><em>Jacopo Massa, Giuseppe Bisicchia, Patrizio Dazzi and Antonio Brogi<\/em><\/p><p>\u00a0<\/p><p><b>10:40 &#8211; 11:50<\/b><b>\u00a0<\/b><\/p><p><b>CLD-CON-S2<\/b><\/p><p><b>Container Placement &amp; Microservice Scheduling<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Hubertus Franke ( IBM Research )<\/span><\/b><\/p><p><em>CON_REG_8: REACH: Reinforcement Learning for Adaptive Microservice Rescheduling in the Cloud\u2013Edge Continuum<\/em><\/p><p><em>Xu Bai, Adel N. Toosi, Rajkumar Buyya and Muhammed Tawfiqul Islam<\/em><\/p><p><em>CLD_REG_66: BridgeScheduler: Non-Intrusive Sensing and Collaborative Scheduling for Hybrid Edge-Cloud Environments<\/em><\/p><p><em>Song He, Yuehao Xu, Jiasheng Wang, Jian Yu and Zhijun Ding<\/em><\/p><p><em>CLD_SHT_7: Enhancing Task-based Workflows Deployment Across the Compute Continuum with Kubernetes Multiclusters<\/em><\/p><p><em>Alba Ca\u00f1ete-Garrucho, Bernat Xandri-Zaragoza, Kemalcan Bora, Elli Karstakli and Eduardo Qui\u00f1ones<\/em><\/p><p><em>CLD_SHT_148: LLM-Based Multi-Agent Collaboration for Constrained Multi-Objective Container Placement<\/em><\/p><p><em>Suvarthi Sarkar, Abhishek Hazra, Akshat Mittal and Aryabartta Sahu<\/em><\/p><p>\u00a0<\/p><p><b>11:50 &#8211; 13:00<\/b><b>\u00a0<\/b><\/p><p><b>CLD-CON-S3<\/b><\/p><p><b>Serverless Workflow Scheduling<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Nan Yang (Westren Sydeny University)<\/span><\/b><\/p><p><em>CLD_REG_107: An SLO-Driven Feedback Controller for Kubernetes Horizontal Pod Autoscaling<\/em><\/p><p><em>Angelo Marchese and Orazio Tomarchio<\/em><\/p><p><em>CLD_REG_99: Data-Parallel and Heterogeneity-Aware Scheduling for Geo-Distributed Serverless Scientific Workflows<\/em><\/p><p><em>Shubhradeep Roy, Suvarthi Sarkar, Mukka Koushik, Tanish and Aryabartta Sahu<\/em><\/p><p><em>CLD_REG_76: Two-level Network Bandwidth Allocation for Multi-tenant AI Clouds in Kubernetes<\/em><\/p><p><em>Sunyanan Choochotkaew, Lionel Jouin and Tatsuhiro Chiba<\/em><\/p><p>\u00a0<\/p><p><b>14:00 &#8211; 15:10<\/b><b>\u00a0<\/b><\/p><p><b>CLD-INV-S1<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Hubertus Franke ( IBM Research )<\/span><\/b><\/p><p><b>Keynote: Rethinking the Cloud for Agentic AI<\/b><\/p><p><b>Ian Foster, University of Chicago and Argonne National Laboratory, United States<\/b><\/p><p>\u00a0<\/p><p><b>15:40 &#8211; 16:50<\/b><b>\u00a0<\/b><\/p><p><b>CLD-CON-S4<\/b><\/p><p><b>Cloud Economics: Cost &amp; Spot Markets<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Aryabartta Sahu, IIT Guwahati, India<\/span><\/b><\/p><p><em>CLD_REG_162: SpotWhisk: Transferring the Spot Instances Cost-Efficiency to Serverless Data Analytics Pipelines<\/em><\/p><p><em>Enrique Molina-Gim\u00e9nez, Pedro Garc\u00eda-L\u00f3pez and Javier Fabra<\/em><\/p><p><em>CLD_REG_163: Ding-Dong Ditch: Peeking Into Spot Instance Availability<\/em><\/p><p><em>Kyumin Kim, Moohyun Song, Taeyoon Kim and Kyungyong Lee<\/em><\/p><p><em>CLD_REG_30: Understanding Cross-Cloud Interconnects: Hands-On Measurements and Cost Optimization<\/em><\/p><p><em>Eitan Eliav, Isaac Keslassy, David Breitgand, Dean Lorenz and Avi Weit<\/em><\/p>\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-1739992462\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-1739992462\" data-tab-index=\"2\" style=\"--n-tabs-title-order: 2;\" class=\" elementor-element elementor-element-8dea474 e-con-full e-flex e-con e-child\" data-id=\"8dea474\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-a4e3a4c e-flex e-con-boxed e-con e-child\" data-id=\"a4e3a4c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9216bca elementor-widget elementor-widget-text-editor\" data-id=\"9216bca\" 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<p><b>13:00 &#8211; 14:10<\/b><\/p><p><b>CLD-INV-S2<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Hubertus Franke ( IBM Research )<\/span><\/b><\/p><p><b>Keynote: The Rise of Edge-Native Clinical AI: Generative Models, Distributed Systems, and the Future of Medicine<\/b><\/p><p><b>Albert Y. Zomaya, Sydney University, Australia<\/b><\/p><p>\u00a0<\/p><p><b>14:10 &#8211; 15:20<\/b><\/p><p><b>CLD-CON-S5<\/b><\/p><p><b>Distributed Stream Processing &amp; Data Management<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Zhiying Tu (Harbin Institute of Technology)<\/span><\/b><\/p><p><em>CLD_REG_37: Federated Querying of Heterogeneous Spatiotemporal Data over Polyglot Stores<\/em><\/p><p><em>Everett Lewark, Nathan Orwick, Paige Hansen, Ayush Adhikari, Sangmi Lee Pallickara and Shrideep Pallickara<\/em><\/p><p><em>CLD_REG_61: Effectiveness of Coded Redundancy for Reducing Task Average Latency in Distributed Stream Processing Systems<\/em><\/p><p><em>Yuxuan Lin, Bin Tang, Shengjing Wang, Lei Chen, Xutong Jiang and Rajkumar Buyya<\/em><\/p><p><em>CLD_REG_135: Topology-Aware Multi-Agent Reinforcement Learning for Efficient Resource Allocation in Cloud-Native Stream Processing<\/em><\/p><p><em>Sunday Awine and Jinwei Liu<\/em><\/p><p>\u00a0<\/p><p><b>15:50 &#8211; 17:00<\/b><\/p><p><b>CLD-CON-S6<\/b><\/p><p><b>Cloud Data Management &amp; Performance Prediction<\/b><\/p><p><b>Room: 107<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Reza Farahani ( TU Vienna)<\/span><\/b><\/p><p><em>CLD_REG_72: Predicting Lakehouse Performance in Clouds: An Empirical Exploration of Query Runtime Variance<\/em><\/p><p><em>James Nurdin, Wei Liu, Richard McCreadie and Lauritz Thamsen<\/em><\/p><p><em>CLD_REG_14: Semantic-Aware Graph Schema Discovery for Heterogeneous Cloud Metadata<\/em><\/p><p><em>Yann Ramusat, Jeremy Mechouche, Nada El Mansouri and Zakaria Maamar<\/em><\/p><p><em>CLD_SHT_36 (Short): Small-Sample Tail Latency Prediction for Cloud Time-Series Database Services via Censoring-Aware Extreme Value Theory<\/em><\/p><p><em>Fuming Fu<\/em><\/p><p><em>CLD_SHT_46: Regime-Aware Resource Demand Forecasting for Cloud Scheduling: When History Beats ML and When ML Matters<\/em><\/p><p><em>Kalab Kiros and Jinwei Liu<\/em><\/p><p>\u00a0<\/p><p><b>15:50 &#8211; 17:00<\/b><\/p><p><b>CLD-CON-S7<\/b><\/p><p><b>Energy &amp; Resource Efficiency<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: Mahdi Taheri (Brandenburg University)<\/b><\/p><p><em>CON_REG_9: Augur: Pre-Execution Energy Prediction for Workflow Tasks in Heterogeneous Clusters<\/em><\/p><p><em>Kathleen West, Vasilis Bountris, Philipp Thamm, Ulf Leser, Yehia Elkhatib and Lauritz Thamsen<\/em><\/p><p><em>CLD_REG_50: Nf-PEAK: Process-Based Energy Attribution for Nextflow Workflows on Kubernetes Clusters<\/em><\/p><p><em>Philipp Thamm, Somayeh Mohammadi, Kathleen West, Knut Reinert, Lauritz Thamsen and Ulf Leser<\/em><\/p><p><em>CLD_REG_63: MLOPSHER: A Lightweight MLOps Usher with a Minimal Operational Contract for DVC\u2013MLflow\u2013FastAPI on Kubernetes<\/em><\/p><p><em>Junsu Park and Hyoungwoo Park<\/em><\/p>\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-1739992463\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-1739992463\" data-tab-index=\"3\" style=\"--n-tabs-title-order: 3;\" class=\" elementor-element elementor-element-45a30e9 e-con-full e-flex e-con e-child\" data-id=\"45a30e9\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-72bc300 e-flex e-con-boxed e-con e-child\" data-id=\"72bc300\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6db6229 elementor-widget elementor-widget-text-editor\" data-id=\"6db6229\" 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<p><b>13:00 &#8211; 14:10<\/b><\/p><p><b>CLD-INV-S3<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Hubertus Franke ( IBM Research )<\/span><\/b><\/p><p><b>Keynote: The Future of AI Platforms: Resilient Self-Sustaining Clouds delivering Application Specific SLOs<\/b><\/p><p><b>Ravishankar K. Iyer, University of Illinois at Urbana-Champaign, United States<\/b><\/p><p><b>\u00a0<\/b><\/p><p><b>14:10 &#8211; 15:20<\/b><\/p><p><b>CLD-CON-S8<\/b><\/p><p><b>Cloud Systems &amp; Performance<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Adel N. Toosi, The University of Melbourne, Australia<\/span><\/b><\/p><p><em>CLD_REG_84: Estimating Execution Progress of Black-Box Tasks with Resource-Consumption Models<\/em><\/p><p><em>Sami Kharma, Tobias Wies, Florian Schintke and Bj\u00f6rn Scheuermann<\/em><\/p><p><em>CLD_REG_160: DITTO: Online Memory Rightsizing and Value-Aware Eviction for Reducing Cold Starts in Serverless Platforms<\/em><\/p><p><em>Dongjae Lee, Kyuli Park, Yeonwoo Jeong, Hongsu Byun and Sungyong Park<\/em><\/p><p><em>CLD_REG_158: CODA: Breaking CPU Bottlenecks for Scalable Ceph with DPU-Based OSD Decoupling<\/em><\/p><p><em>Kyuli Park, Sungmin Yoon, Awais Khan, Sungyong Park and Youngjae Kim<\/em><\/p><p>\u00a0<\/p><p><b>15:50 &#8211; 17:00<\/b><\/p><p><b>CLD-CON-S9<\/b><\/p><p><b>Efficient LLM Inference<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Adel N. Toosi, The University of Melbourne, Australia<\/span><\/b><\/p><p><em>CLD_REG_113: BYSTANDER: State-Aware Execution-Time Prediction for Heterogeneous LLM Inference Scheduling<\/em><\/p><p><em>Minjae Jung, Hyungjun Kim, Hokun Park, Hwamin Lee and Heonchang Yu<\/em><\/p><p><em>CLD_REG_12: Can Byte-Level and Bit-Level Optimizations Enhance The Parameter Lossless Compression of Large Language Models?<\/em><\/p><p><em>Miaowei Liu, Hongcai He, Chengda Wu, Hui Xu, Zetao Zheng and Jie Shao<\/em><\/p><p><em>CLD_SHT_54: Reducing Memory Requirements of LLM Inference Through Online rANS Decompression<\/em><\/p><p><em>V\u00e4in\u00f6-Waltteri Granat, Jakub \u017d\u00e1dn\u00edk, Markku M\u00e4kitalo, Joonas Multanen and Pekka J\u00e4\u00e4skel\u00e4inen<\/em><\/p><p><em>CLD_SHT_150: Energy Efficiency and Fairness of Local Large Language Models in Data Stream Processing<\/em><\/p><p><em>Hessel Tjeerdsma, Roya Nasiri, Joshua Owotogbe, Indika Kumara, Damian Andrew Tamburri and Willem-Jan van den Heuvel<\/em><\/p>\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\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-1739992464\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-1739992464\" data-tab-index=\"4\" style=\"--n-tabs-title-order: 4;\" class=\" elementor-element elementor-element-a74d5d6 e-flex e-con-boxed e-con e-child\" data-id=\"a74d5d6\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-f4d6d01 e-con-full e-flex e-con e-child\" data-id=\"f4d6d01\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f5207cb elementor-widget elementor-widget-text-editor\" data-id=\"f5207cb\" 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<p><b>13:00 &#8211; 14:10<\/b><\/p><p><b>CLD-CON-S10<\/b><\/p><p><b>Storage &amp; Memory Systems<\/b><\/p><p><b>Room: 107<\/b><\/p><p><b>Session Chair: Joon Yong Hwang (Cornelis Networks)<\/b><\/p><p><em>CLD_REG_95: NetCAS: Dynamic Cache and Backend Device Management in Networked Environments<\/em><\/p><p><em>Joon Yong Hwang, Chanseo Park and Younghoon Kim<\/em><\/p><p><em>CLD_REG_40: FATE: Fairness-Aware Memory Allocation for Multi-Tenant Tiered Memory Environments<\/em><\/p><p><em>Minwoo Jo, Binwon Song, Hayong Jeong and Heeseung Jo<\/em><\/p><p><em>CLD_SHT_35: Tail Erase Count: A Wear Metric for Lifetime-Aware Management in Heterogeneous SSD Clusters<\/em><\/p><p><em>Ilhoon Shin<\/em><\/p><p><em>CLD_SHT_149: Input-Agnostic Runtime Metric Based Memory Optimization for Serverless Functions<\/em><\/p><p><em>Seunghun Kim and Youngjoo Shin<\/em><\/p><p><b>\u00a0<\/b><\/p><p><b>13:00 &#8211; 14:10<\/b><\/p><p><b>CLD-CON-S11<\/b><\/p><p><b>Networking &amp; Distributed Infrastructure<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: Shaleeza Sohail (University of Newcastle)<\/b><\/p><p><em>CLD_REG_56: PRISM: Workload-Aware Autonomous Network Fault Recovery for Hyperscale AI Training Fabrics<\/em><\/p><p><em>Rohan Bhosle<\/em><\/p><p><em>CLD_REG_41: ContaTOE: FPGA SmartNIC-Based TCP Offloading for Scalable Multi-Container Networking<\/em><\/p><p><em>Tatsuya Kawano, Ryuichi Sakamoto, Gongyu Deng, Takaaki Fukai and Takahiro Hirofuchi<\/em><\/p><p><em>CLD_SHT_166: Secure and Efficient Monitoring of Confidential VMs Using Programmable Read-ahead with eBPF<\/em><\/p><p><em>Kanta Uesugi and Kenichi Kourai<\/em><\/p><p><em>CLD_SHT_153: C-PCP: Correlation-Aware Proportional Critical Path Scheduling for Input-Sensitive Serverless Workflows<\/em><\/p><p><em>G Vasantha Reddy, Chandrashekhar Dharmarajan, Suvarthi Sarkar and Aryabartta Sahu<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div id=\"e-n-tab-content-1739992465\" role=\"tabpanel\" aria-labelledby=\"e-n-tab-title-1739992465\" data-tab-index=\"5\" style=\"--n-tabs-title-order: 5;\" class=\" elementor-element elementor-element-85d407e e-flex e-con-boxed e-con e-child\" data-id=\"85d407e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-c2a8286 e-con-full e-flex e-con e-child\" data-id=\"c2a8286\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b25207c elementor-widget elementor-widget-text-editor\" data-id=\"b25207c\" 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<p><b>10:40 &#8211; 11:50<\/b><b>\u00a0<\/b><\/p><p><b>CLD-CON-S12<\/b><\/p><p><b>Serving, Offloading &amp; Routing for Cloud-Edge AI Systems<\/b><\/p><p><b>Room: 107<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Reza Farahani ( TU Vienna)<\/span><\/b><\/p><p><em>CLD_REG_82: Design Methodology and Performance Trade-offs Management for Compound AI Systems<\/em><\/p><p><em>Milos Gravara, Andrija Stanisic and Stefan Nastic<\/em><\/p><p><em>CLD_SHT_144: Resource-Aware Multi-Model Serving for GPU Cloud Infrastructure<\/em><\/p><p><em>Bhanu Prakash Vangala and Tanu Malik<\/em><\/p><p><em>CLD_SHT_4: Task-Aware Offloading for Heterogeneous DC-HAP Systems<\/em><\/p><p><em>Jichen Lu, Balsam Alkouz, Osama Amin and Basem Shihada<\/em><\/p><p><em>CLD_SHT_47: A Cooperative MADRL Approach for Joint Computing Offloading and Route Optimization in Cloud-Edge Networks<\/em><\/p><p><em>Yi Yue, Shuai Zhang, Zhengxin Han, Ying Liu, Chang Cao and Xiongyan Tang<\/em><\/p><p><em>CLD_SHT_57: Fairness-Aware Dynamic Pricing and Service Routing for Cloud-Edge Systems via Heterogeneous Multi-Agent Learning<\/em><\/p><p><em>Yun Xia, Gang Zhou, Zhipeng Gao, Lichuan Pan, Ming Zhang, Jian Yang and Yang Yang<\/em><\/p><p>\u00a0<\/p><p><b>10:40 &#8211; 11:50<\/b><\/p><p><b>CLD-CON-S13<\/b><\/p><p><b>AI &amp; LLM Inference Serving<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Sunyanan Choochotkaew (IBM Research)<\/span><\/b><\/p><p><em>CLD_REG_38: InferScale: Kubernetes-Native Predictive Autoscaling for SLO-Aware AI Inference<\/em><\/p><p><em>Wen Huang<\/em><\/p><p><em>CLD_REG_73: Dynamic Pipeline Inference Optimization for LLMs: Load-Aware Partitioning, Updating, and Migration<\/em><\/p><p><em>Yingxin Wang, Binbin Feng and Zhijun Ding<\/em><\/p><p><em>CLD_REG_45: WVA: A Global Optimization Control Plane for llmd<\/em><\/p><p><em>Abhishek Malvankar, Lionel Villard, Mohammed Abdi, Tommaso Sgreccia, Evgeny Shindin, Braulio Dumba, Vishakha Ramani, Asser Tantawi and Tamar Eilam<\/em><\/p><p>\u00a0<\/p><p><b>13:00 &#8211; 14:10<\/b><\/p><p><b>CLD-CON-S14<\/b><\/p><p><b>AIOps &amp; Emerging Cloud<\/b><\/p><p><b>Room: 107<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Ba Hung Nguyen (Hitachi RDG)<\/span><\/b><\/p><p><em>CLD_REG_116: AnchorDL: Dual-Locality-based Scheduling for Serverless Inference Workflows<\/em><\/p><p><em>Min Chang Kim, Hyungjun Kim, Hokun Park, Minjae Kang, Hwamin Lee and Heonchang Yu<\/em><\/p><p><em>CLD_SHT_112: Ada-MGAD: Adaptive Multi-Modal Graph Anomaly Detection<\/em><\/p><p><em>Linlin Zhang, Xiaoran Zhao and Chuan Luo<\/em><\/p><p><em>CLD_SHT_108: QCOEM: Quantum Cloud Orchestration with Evolutionary Multi-Objective Optimization<\/em><\/p><p><em>Tam N. Pham, Hoa T. Nguyen and Quan Le-Trung<\/em><\/p><p><em>CLD_WIP_145: Operational Intelligence for Incident Management through OSS MCP-Based Agentic Orchestration<\/em><\/p><p><em>Ba Hung Nguyen and Hitoshi Yabusaki<\/em><\/p><p><em>CLD_WIP_97: SplitPGV: Separating Neighbors from Element for Efficient HNSW Indexing<\/em><\/p><p><em>Beomjoon Shin and Jonghyeok Park<\/em><\/p><p>\u00a0<\/p><p><b>13:00 &#8211; 14:10<\/b><\/p><p><b>CLD-CON-S15<\/b><\/p><p><b>Cloud Security &amp; Zero Trust<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Thai T. Vu (University of Wollongong)<\/span><\/b><\/p><p><em>CLD_REG_8: Detecting False Assurance in Cloud Control Inheritance Using a Federated Compliance Integrity Graph<\/em><\/p><p><em>Arun Chowdary Sanna<\/em><\/p><p><em>CLD_REG_53: Kernel-Anchored Zero-Trust: A Sidecar-less Service Mesh for Low-Latency Financial Edge Applications<\/em><\/p><p><em>Shrikant Sonparote and Sudhanshu Maurya<\/em><\/p><p><em>CLD_REG_39: Penny: Reducing Storage Costs for Ethereum Synchronization with Hybrid Storage Devices<\/em><\/p><p><em>Yunhyeong Seo, Inhwi Hwang, Hyeonsang Eom and Jin Yong Ha<\/em><\/p><p>\u00a0<\/p><p><b>14:10 &#8211; 15:20<\/b><b>\u00a0<\/b><\/p><p><b>CLD-CON-S16<\/b><\/p><p><b>Adaptive &amp; Energy-Efficient Cloud Systems<\/b><\/p><p><b>Room: 107<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Sunyanan Choochotkaew (IBM Research)<\/span><\/b><\/p><p><em>*CLD_REG_86: GreenGNN: Energy-Aware Windowed Communication Optimization for Distributed GNN Training<\/em><\/p><p><em>Arefin Niam, Tevfik Kosar and M. S. Q. Zulkar Nine<\/em><\/p><p><em>CLD_REG_42: HYADES: Adaptive Consumer Tuning in Redis Streams via Hybrid Expert Selection<\/em><\/p><p><em>Kemalcan Bora, Elli Kartsakli and Eduardo Qui\u00f1ones<\/em><\/p><p><em>CLD_SHT_59: Flare: Leveraging Serverless Elasticity to Absorb Microservice Load Spikes<\/em><\/p><p><em>Dilina Dehigama, Shyam Jesalpura, David Schall, Marios Kogias, Antonis Katsarakis, Rakesh Kumar and Boris Grot<\/em><\/p><p>\u00a0<\/p><p><b>14:10 &#8211; 15:20<\/b><\/p><p><b>CLD-CON-S17<\/b><\/p><p><b>Data Protection &amp; Storage Security<\/b><\/p><p><b>Room: 116<\/b><\/p><p><b>Session Chair: <span data-olk-copy-source=\"MessageBody\">Zhiying Tu (Harbin Institute of Technology)<\/span><\/b><\/p><p><em>CLD_REG_105: Probabilistic Marking based Secure Cross-user Deduplication in Cloud Storage<\/em><\/p><p><em>Lele Rao, Jiaxin Li and Xin Tang<\/em><\/p><p><em>CLD_INV_1: A Cloud and IoT-Based Secure Data Sharing Model for Smart Homes and Cyber-Physical Systems<\/em><\/p><p><em>Bhavani Thuraisingham, Maribel Fernandez, Jenjira Jaimunk and Weerasak Chiangsoi<\/em><\/p><p><em>CLD_SHT_91: Grouping based Double Obfuscation Strategy for Secure Cross-user Deduplication in Cloud Storage<\/em><\/p><p><em>Ruoxi Zhao, Ranshang Sun, Chuqiao Song and Xin Tang<\/em><\/p><p><em>CLD_SHT_109: Closing the Agent Blind Spot: Zero Trust Behavioral Verification for Human and Non-Human Identities in Cloud Storage<\/em><\/p><p><em>Venkata Saikumar Thalupuru and Vishal Gupta<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Part of the 2026 IEEE World Congress on SERVICES July 13-18Sydney, Australia Home CLOUD Program Call for Papers CLOUD Organizers IEEE INTERATIONAL CONFERENCE ON CLOUD COMPUTING CLOUD 2026 &#8211; Conference Program July 13 July 14 July 15 July 16 July 17 09:00 &#8211; 10:10 CLD-CON-S1 Orchestration &amp; Cloud Continuum Room: 116 Session Chair: Zhiying Tu [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-559","page","type-page","status-publish","hentry"],"featured_image_src":null,"featured_image_src_square":null,"_links":{"self":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/pages\/559","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/comments?post=559"}],"version-history":[{"count":0,"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/pages\/559\/revisions"}],"wp:attachment":[{"href":"https:\/\/services.conferences.computer.org\/2026\/wp-json\/wp\/v2\/media?parent=559"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}