| 2023 | 16th IEEE International Conference on Cloud Computing, CLOUD 2023, Chicago, IL, USA, July 2-8, 2023 |
| 2023 | A Carbon-aware Workload Dispatcher in Cloud Computing Systems. Tayebeh Bahreini, Asser N. Tantawi, Alaa Youssef |
| 2023 | A Case for Performance- and Cost-Aware Multi-Cloud Overlays. Bahador Yeganeh, Ramakrishnan Durairajan, Reza Rejaie, Walter Willinger |
| 2023 | A Framework for Characterizing Very Large Cloud Workload Traces with Unsupervised Learning. Basem Suleiman, Mohammed Mustafa Fulwala, Albert Y. Zomaya |
| 2023 | A Microservice-based SaaS Deployment in a Data Center Considering Computational Server and Network Energy Consumption. Amal Alzahrani, Maolin Tang |
| 2023 | A Novel Cost-Aware Data Placement Strategy for Edge-Cloud Collaborative Smart Systems. Yifei Zhang, Jia Xu, Xiao Liu, Wuzhen Pan, Xuejun Li |
| 2023 | A Structured Literature Review Approach to Define Serverless Computing and Function as a Service. Johannes Manner |
| 2023 | ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections. Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara |
| 2023 | AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage. Qirui Yang, Runyu Jin, Ni Fan, Devasena Inupakutika, Bridget Davis, Ming Zhao |
| 2023 | An Auto-Scaling Framework for Predictable Open Source FaaS Function Chains. David Balla, Markosz Maliosz, Csaba Simon |
| 2023 | Application and Infrastructure-Aware Orchestration in the Cloud-to-Edge Continuum. Angelo Marchese, Orazio Tomarchio |
| 2023 | Application of Auction Theory in Cloud Computing and Renewable Energy. Hari Sowrirajan, George Wang |
| 2023 | AutoOPT: Data Generation and Optimization for Digital Twin Network (DTN). Mei Li, Cheng Zhou, Lu Lu, Yan Zhang, Tao Sun |
| 2023 | Blaze: A High-Performance, Scalable, and Efficient Data Transfer Framework with Configurable and Extensible Features : Principles, Implementation, and Evaluation of a Transatlantic Inter-Cloud Data Transfer Case Study. Suresh Marru, Brian Freitag, Dimuthu Wannipurage, Uday Kumar Bommala, Patrick Pradier, Christophe Demange, Nishan Pantha, Tathagata Mukherjee, Betlem Rosich, Eric Monjoux, Rahul Ramachandran |
| 2023 | Composability of Cloud Accelerators in Virtual World Simulations. Dionysios Diamantopoulos, Burkhard Ringlein, Beat Weiss, Mark A. Lantz, François Abel |
| 2023 | Cost-Aware Multifaceted Reconfiguration of Service-and Cloud-Based Dynamic Routing Applications. Amirali Amiri, Uwe Zdun |
| 2023 | DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez, Patricia Arroba, Rajkumar Buyya |
| 2023 | Darly: Deep Reinforcement Learning for QoS-aware scheduling under resource heterogeneity Optimizing serverless video analytics. Dimitrios Giagkos, Achilleas Tzenetopoulos, Dimosthenis Masouros, Dimitrios Soudris, Sotirios Xydis |
| 2023 | Declarative and Linear Programming Approaches to Service Placement, Reconciled. Jacopo Massa, Stefano Forti, Patrizio Dazzi, Antonio Brogi |
| 2023 | Deep Reinforcement Learning in Cloud Elasticity Through Offline Learning and Return Based Scaling. Miltiadis Chrysopoulos, Ioannis Konstantinou, Nectarios Koziris |
| 2023 | Demystifying deep learning in predictive monitoring for cloud-native SLOs. Andrea Morichetta, Thomas W. Pusztai, Deepak Vij, Víctor Casamayor-Pujol, Philipp Raith, Ying Xiong, Stefan Nastic, Schahram Dustdar, Zhaobo Zhang |
| 2023 | Design-Time Analysis of Time-Critical and Fault-Tolerance Constraints in Cloud Services. Remo Andreoli, Harald Gustafsson, Luca Abeni, Raquel Mini, Tommaso Cucinotta |
| 2023 | Detecting and Resolving Coupling-Related Infrastructure as Code Based Architecture Smells in Microservice Deployments. Evangelos Ntentos, Uwe Zdun, Ghareeb Falazi, Uwe Breitenbücher, Frank Leymann |
| 2023 | EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud. Ming Chen, Maria Rodriguez Read, Patricia Arroba, Rajkumar Buyya |
| 2023 | Economics of Spot Instance Service: A Two-Stage Dynamic Game Approach. Hyojung Lee, Lam Vu, Minsung Jang |
| 2023 | Effective Management of Time Series Data. Cristiano E. Caon, Jie Li, Yong Chen |
| 2023 | Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. Junjie Chu, Prashant Singh, Salman Toor |
| 2023 | Elevating Performance of LSM-Tree-Based Key-Value Stores with Gradient Data Hierarchy. Hui Sun, Jinfeng Xu, Xiao Qin |
| 2023 | Enabling Efficient Multidimensional Encrypted Data Aggregation for Fog-Cloud-Based Smart Grid. Hang Shi, Jie Zhao, Chonglin Gu, Mingyue Wang, Hejiao Huang |
| 2023 | Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. Paula Olaya, Jakob Lüttgau, Camila Roa, Ricardo M. Llamas, Rodrigo Vargas, Sophia Wen, I-Hsin Chung, Seetharami R. Seelam, Yoonho Park, Jay F. Lofstead, Michela Taufer |
| 2023 | FaaSCTDO: Collaborative Task-Data Orchestration for Serverless Workflows. Neng Yang, Haitao Zhang, Yepeng Zhang |
| 2023 | FedGen: Generalizable Federated Learning for Sequential Data. Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian |
| 2023 | Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling. Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando P. Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan S. Milojicic |
| 2023 | Free the Turtles: Removing Nested Virtualization for Performance and Confidentiality in the Cloud. Mengmei Ye, Angelo Ruocco, Daniele Buono, James Bottomley, Hubertus Franke |
| 2023 | GDTS: GAN-Based Distributed Tabular Synthesizer. Zilong Zhao, Robert Birke, Lydia Y. Chen |
| 2023 | GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning. Theodoros Theodoropoulos, Antonios Makris, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes |
| 2023 | GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training. Sahil Tyagi, Martin Swany |
| 2023 | GuaranTEE: Introducing Control-Flow Attestation for Trusted Execution Environments. Mathias Morbitzer, Benedikt Kopf, Philipp Zieris |
| 2023 | Hawk: DevOps-driven Transparency and Accountability in Cloud Native Systems. Elias Grünewald, Jannis Kiesel, Siar-Remzi Akbayin, Frank Pallas |
| 2023 | Hybrid Serverless Platform for Service Function Chains. Sheshadri K. R, J. Lakshmi |
| 2023 | HydraGen: A Microservice Benchmark Generator. Mohammad Reza Saleh Sedghpour, Aleksandra Obeso Duque, Xuejun Cai, Björn Skubic, Erik Elmroth, Cristian Klein, Johan Tordsson |
| 2023 | IRIS: Interference and Resource Aware Predictive Orchestration for ML Inference Serving. Aggelos Ferikoglou, Panos Chrysomeris, Achilleas Tzenetopoulos, Manolis Katsaragakis, Dimosthenis Masouros, Dimitrios Soudris |
| 2023 | InsightsSumm - Summarization of ITOps Incidents Through In-Context Prompt Engineering. Suranjana Samanta, Oishik Chatterjee, Neil Boyette, Guangya Liu, Prateeti Mohapatra |
| 2023 | Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud. Pinglan Liu, Wensheng Zhang |
| 2023 | Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi |
| 2023 | Kepler: A Framework to Calculate the Energy Consumption of Containerized Applications. Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee, Tamar Eilam |
| 2023 | Learning Representations on Logs for AIOps. Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra |
| 2023 | Making Your Program Oblivious: A Comparative Study for Side-channel-Safe Confidential Computing. A. K. M. Mubashwir Alam, Keke Chen |
| 2023 | Message from Shangguang Wang Chair of IEEE Computer Society (IEEE-CS) Technical Community on Services Computing (TCSVC). Shangguang Wang |
| 2023 | Message from the Chairs. Tevfik Kosar, Manish Parashar, Judy Fox, Christoph Hagleithner |
| 2023 | MicroBlend: An Automated Service-Blending Framework for Microservice-Based Cloud Applications. Myungjun Son, Shruti Mohanty, Jashwant Raj Gunasekaran, Mahmut T. Kandemir |
| 2023 | MoKE: Modular Key-value Emulator for Realistic Studies on Emerging Storage Devices. Manoj Pravakar Saha, Danlin Jia, Janki Bhimani, Ningfang Mi |
| 2023 | NVMe-Driven Lazy Cache Coherence for Immutable Data with NVMe over Fabrics. Tuan Anh Nguyen, Hyeongjun Jeon, Daegyu Han, Duck-Ho Bae, Youngjin Yu, Kyeungpyo Kim, Sungsoon Park, Jinkyu Jeong, Beomseok Nam |
| 2023 | Object as a Service (OaaS): Enabling Object Abstraction in Serverless Clouds. Pawissanutt Lertpongrujikorn, Mohsen Amini Salehi |
| 2023 | On the Value of Sequence-Based System Call Filtering for Container Security. Somin Song, Sahil Suneja, Michael V. Le, Byungchul Tak |
| 2023 | Performance Analysis of Apache OpenWhisk Across the Edge-Cloud Continuum. Areej Alabbas, Ashish Kaushal, Osama Almurshed, Omer F. Rana, Nitin Auluck, Charith Perera |
| 2023 | Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference. Peini Liu, Jordi Guitart, Amir Taherkordi |
| 2023 | QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum. Marco Anisetti, Filippo Berto, Ruslan Bondaruc |
| 2023 | Reliable and Accurate Fault Detection with GPGPUs and LLVM. Yuichi Ozaki, Sousuke Kanamoto, Hiroaki Yamamoto, Kenichi Kourai |
| 2023 | SCOOP: A Scalable Object-Oriented Serverless Platform. Narges Shahidi, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Bhuvan Urgaonkar |
| 2023 | Secure Lattice-Based Ciphertext-Policy Attribute-Based Encryption from Module-LWE for Cloud Storage. Gudipati Sravya, Syam Kumar Pasupuleti, R. Padmavathy |
| 2023 | Selective Preemption of Distributed Deep Learning Training. Younghun Go, Changyong Shin, Jeunghwan Lee, Yeonho Yoo, Gyeongsik Yang, Chuck Yoo |
| 2023 | Storm-RTS: Stream Processing with Stable Performance for Multi-Cloud and Cloud-edge. Hai Duc Nguyen, Andrew A. Chien |
| 2023 | The Case for the Anonymization of Offloaded Computation. Md Washik Al Azad, Shifat Sarwar, Sifat Ut Taki, Spyridon Mastorakis |
| 2023 | Time-Dependent Pricing and Scheduling for Cloud Object Storage Service Providers. Kyungtae Lee, Yeongjin Kim |
| 2023 | Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI. Naweiluo Zhou, Florent Dufour, Vinzent Bode, Peter Zinterhof, Nicolay J. Hammer, Dieter Kranzlmüller |
| 2023 | Virtual Network Function Migration Considering Load Balance and SFC Delay in Cloud Datacenter. Yi Yue, Xiongyan Tang, Wencong Yang, Zhiyan Zhang, Xuebei Zhang |
| 2023 | Wawel: Architecture for Scalable Attestation of Heterogeneous Virtual Execution Environments. Wojciech Ozga, Patricia Sagmeister, Tamás Visegrády, Silvio Dragone |
| 2023 | Workload Failure Prediction for Data Centers. Jie Li, Rui Wang, Ghazanfar Ali, Tommy Dang, Alan Sill, Yong Chen |
| 2023 | Zero-Cost In-Depth Enforcement of Network Policies for Low-Latency Cloud-Native Systems. Gerald Budigiri, Christoph Baumann, Eddy Truyen, Jan Tobias Mühlberg, Wouter Joosen |
| 2023 | xCloudServing: Automated ML Serving Across Clouds. Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell |
| 2023 | μP: A Development Framework for Predicting Performance of Microservices by Design. Giulio Garbi, Emilio Incerto, Mirco Tribastone |