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16th IEEE CLOUD 2023: Chicago, IL, USA
- 16th IEEE International Conference on Cloud Computing, CLOUD 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-0481-7
- Shangguang Wang:
Message from Shangguang Wang Chair of IEEE Computer Society (IEEE-CS) Technical Community on Services Computing (TCSVC). xviii - Tevfik Kosar, Manish Parashar, Judy Fox, Christoph Hagleithner:
Message from the Chairs. xix - Hari Sowrirajan, George Wang:
Application of Auction Theory in Cloud Computing and Renewable Energy. 1-3 - Jacopo Massa, Stefano Forti, Patrizio Dazzi, Antonio Brogi:
Declarative and Linear Programming Approaches to Service Placement, Reconciled. 1-10 - Dimitrios Giagkos, Achilleas Tzenetopoulos, Dimosthenis Masouros, Dimitrios Soudris, Sotirios Xydis:
Darly: Deep Reinforcement Learning for QoS-aware scheduling under resource heterogeneity Optimizing serverless video analytics. 1-3 - Yi Yue, Xiongyan Tang, Wencong Yang, Zhiyan Zhang, Xuebei Zhang:
Virtual Network Function Migration Considering Load Balance and SFC Delay in Cloud Datacenter. 1-6 - Narges Shahidi, Jashwant Raj Gunasekaran, Mahmut Taylan Kandemir, Bhuvan Urgaonkar:
SCOOP: A Scalable Object-Oriented Serverless Platform. 1-3 - Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell:
xCloudServing: Automated ML Serving Across Clouds. 1-12 - Andrea Morichetta, Thomas W. Pusztai, Deepak Vij, Victor Casamayor-Pujol, Philipp Raith, Ying Xiong, Stefan Nastic, Schahram Dustdar, Zhaobo Zhang:
Demystifying deep learning in predictive monitoring for cloud-native SLOs. 1-11 - Victoria Huang, Shaleeza Sohail, Michael Mayo, Tania Lorido-Botran, Mark Rodrigues, Chris Anderson, Melanie Ooi:
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients. 1-3 - Aggelos Ferikoglou, Panos Chrysomeris, Achilleas Tzenetopoulos, Manolis Katsaragakis, Dimosthenis Masouros, Dimitrios Soudris:
IRIS: Interference and Resource Aware Predictive Orchestration for ML Inference Serving. 1-12 - Miltiadis Chrysopoulos, Ioannis Konstantinou, Nectarios Koziris:
Deep Reinforcement Learning in Cloud Elasticity Through Offline Learning and Return Based Scaling. 13-23 - Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando P. Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan S. Milojicic:
Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling. 35-44 - Hai Duc Nguyen, Andrew A. Chien:
Storm-RTS: Stream Processing with Stable Performance for Multi-Cloud and Cloud-edge. 45-57 - Suresh Marru, Brian Freitag, Dimuthu Wannipurage, Uday Kumar Bommala, Patrick Pradier, Christophe Demange, Nishan Pantha, Tathagata Mukherjee, Betlem Rosich, Eric Monjoux, Rahul Ramachandran:
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. 58-68 - Marcelo Amaral, Huamin Chen, Tatsuhiro Chiba, Rina Nakazawa, Sunyanan Choochotkaew, Eun Kyung Lee, Tamar Eilam:
Kepler: A Framework to Calculate the Energy Consumption of Containerized Applications. 69-71 - Saptashwa Mitra, Paahuni Khandelwal, Shrideep Pallickara, Sangmi Lee Pallickara:
ARGUS: Rapid Wildfire Tracking Using Satellite Data Collections. 72-83 - Md Washik Al Azad, Shifat Sarwar, Sifat Ut Taki, Spyridon Mastorakis:
The Case for the Anonymization of Offloaded Computation. 84-95 - Wojciech Ozga, Patricia Sagmeister, Tamás Visegrády, Silvio Dragone:
Wawel: Architecture for Scalable Attestation of Heterogeneous Virtual Execution Environments. 96-107 - Theodoros Theodoropoulos, Antonios Makris, Evangelos Psomakelis, Emanuele Carlini, Matteo Mordacchini, Patrizio Dazzi, Konstantinos Tserpes:
GNOSIS: Proactive Image Placement Using Graph Neural Networks & Deep Reinforcement Learning. 120-128 - Basem Suleiman, Mohammed Mustafa Fulwala, Albert Y. Zomaya:
A Framework for Characterizing Very Large Cloud Workload Traces with Unsupervised Learning. 129-140 - Ming Chen, Maria Rodriguez Read, Patricia Arroba, Rajkumar Buyya:
EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud. 144-154 - Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. 155-166 - Elias Grünewald, Jannis Kiesel, Siar-Remzi Akbayin, Frank Pallas:
Hawk: DevOps-driven Transparency and Accountability in Cloud Native Systems. 167-174 - Younghun Go, Changyong Shin, Jeunghwan Lee, Yeonho Yoo, Gyeongsik Yang, Chuck Yoo:
Selective Preemption of Distributed Deep Learning Training. 175-177 - Giulio Garbi, Emilio Incerto, Mirco Tribastone:
μP: A Development Framework for Predicting Performance of Microservices by Design. 178-188 - Mohammad Reza Saleh Sedghpour, Aleksandra Obeso Duque, Xuejun Cai, Björn Skubic, Erik Elmroth, Cristian Klein, Johan Tordsson:
HydraGen: A Microservice Benchmark Generator. 189-200 - Evangelos Ntentos, Uwe Zdun, Ghareeb Falazi, Uwe Breitenbücher, Frank Leymann:
Detecting and Resolving Coupling-Related Infrastructure as Code Based Architecture Smells in Microservice Deployments. 201-211 - Tayebeh Bahreini, Asser N. Tantawi, Alaa Youssef:
A Carbon-aware Workload Dispatcher in Cloud Computing Systems. 212-218 - David Balla, Markosz Maliosz, Csaba Simon:
An Auto-Scaling Framework for Predictable Open Source FaaS Function Chains. 229-237 - Pawissanutt Lertpongrujikorn, Mohsen Amini Salehi:
Object as a Service (OaaS): Enabling Object Abstraction in Serverless Clouds. 238-248 - Gerald Budigiri, Christoph Baumann, Eddy Truyen, Jan Tobias Mühlberg, Wouter Joosen:
Zero-Cost In-Depth Enforcement of Network Policies for Low-Latency Cloud-Native Systems. 249-261 - Angelo Marchese, Orazio Tomarchio:
Application and Infrastructure-Aware Orchestration in the Cloud-to-Edge Continuum. 262-271 - Dionysios Diamantopoulos, Burkhard Ringlein, Beat Weiss, Mark A. Lantz, François Abel:
Composability of Cloud Accelerators in Virtual World Simulations. 272-274 - Mengmei Ye, Angelo Ruocco, Daniele Buono, James Bottomley, Hubertus Franke:
Free the Turtles: Removing Nested Virtualization for Performance and Confidentiality in the Cloud. 275-281 - A. K. M. Mubashwir Alam, Keke Chen:
Making Your Program Oblivious: A Comparative Study for Side-channel-Safe Confidential Computing. 282-289 - Suranjana Samanta, Oishik Chatterjee, Neil Boyette, Guangya Liu, Prateeti Mohapatra:
InsightsSumm - Summarization of ITOps Incidents Through In-Context Prompt Engineering. 290-292 - Naweiluo Zhou, Florent Dufour, Vinzent Bode, Peter Zinterhof, Nicolay J. Hammer, Dieter Kranzlmüller:
Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI. 293-295 - Somin Song, Sahil Suneja, Michael V. Le, Byungchul Tak:
On the Value of Sequence-Based System Call Filtering for Container Security. 296-307 - Praveen Venkateswaran, Vatche Isahagian, Vinod Muthusamy, Nalini Venkatasubramanian:
FedGen: Generalizable Federated Learning for Sequential Data. 308-318 - Sahil Tyagi, Martin Swany:
GraVAC: Adaptive Compression for Communication-Efficient Distributed DL Training. 319-329 - Peini Liu, Jordi Guitart, Amir Taherkordi:
Performance Characterization of Multi-Container Deployment Schemes for Online Learning Inference. 330-340 - Hyojung Lee, Lam Vu, Minsung Jang:
Economics of Spot Instance Service: A Two-Stage Dynamic Game Approach. 341-347 - Qirui Yang, Runyu Jin, Ni Fan, Devasena Inupakutika, Bridget Davis, Ming Zhao:
AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage. 348-359 - Hui Sun, Jinfeng Xu, Xiao Qin:
Elevating Performance of LSM-Tree-Based Key-Value Stores with Gradient Data Hierarchy. 360-369 - Mei Li, Cheng Zhou, Lu Lu, Yan Zhang, Tao Sun:
AutoOPT: Data Generation and Optimization for Digital Twin Network (DTN). 376-382 - 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:
Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. 383-393 - Tuan Anh Nguyen, Hyeongjun Jeon, Daegyu Han, Duck-Ho Bae, Youngjin Yu, Kyeungpyo Kim, Sungsoon Park, Jinkyu Jeong, Beomseok Nam:
NVMe-Driven Lazy Cache Coherence for Immutable Data with NVMe over Fabrics. 394-400 - Areej Alabbas, Ashish Kaushal, Osama Almurshed, Omer F. Rana, Nitin Auluck, Charith Perera:
Performance Analysis of Apache OpenWhisk Across the Edge-Cloud Continuum. 401-407 - Cristiano E. Caon, Jie Li, Yong Chen:
Effective Management of Time Series Data. 408-414 - Remo Andreoli, Harald Gustafsson, Luca Abeni, Raquel Mini, Tommaso Cucinotta:
Design-Time Analysis of Time-Critical and Fault-Tolerance Constraints in Cloud Services. 415-417 - Tharindu B. Hewage, Shashikant Ilager, Maria Alejandra Rodriguez, Patricia Arroba, Rajkumar Buyya:
DEMOTS: A Decentralized Task Scheduling Algorithm for Micro-Clouds with Dynamic Power-Budgets. 418-427 - Amirali Amiri, Uwe Zdun:
Cost-Aware Multifaceted Reconfiguration of Service-and Cloud-Based Dynamic Routing Applications. 428-438 - Kyungtae Lee, Yeongjin Kim:
Time-Dependent Pricing and Scheduling for Cloud Object Storage Service Providers. 439-449 - Yifei Zhang, Jia Xu, Xiao Liu, Wuzhen Pan, Xuejun Li:
A Novel Cost-Aware Data Placement Strategy for Edge-Cloud Collaborative Smart Systems. 450-456 - Myungjun Son, Shruti Mohanty, Jashwant Raj Gunasekaran, Mahmut T. Kandemir:
MicroBlend: An Automated Service-Blending Framework for Microservice-Based Cloud Applications. 460-470 - Marco Anisetti, Filippo Berto, Ruslan Bondaruc:
QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum. 471-478 - Jie Li, Rui Wang, Ghazanfar Ali, Tommy Dang, Alan Sill, Yong Chen:
Workload Failure Prediction for Data Centers. 479-485 - Junjie Chu, Prashant Singh, Salman Toor:
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. 486-492 - Sheshadri K. R, J. Lakshmi:
Hybrid Serverless Platform for Service Function Chains. 493-504 - Amal Alzahrani, Maolin Tang:
A Microservice-based SaaS Deployment in a Data Center Considering Computational Server and Network Energy Consumption. 505-515 - Johannes Manner:
A Structured Literature Review Approach to Define Serverless Computing and Function as a Service. 516-522 - Neng Yang, Haitao Zhang, Yepeng Zhang:
FaaSCTDO: Collaborative Task-Data Orchestration for Serverless Workflows. 526-528 - Pinglan Liu, Wensheng Zhang:
Integrating Homomorphic Encryption and Trusted Execution Technology for Autonomous and Confidential Model Refining in Cloud. 529-539 - Yuichi Ozaki, Sousuke Kanamoto, Hiroaki Yamamoto, Kenichi Kourai:
Reliable and Accurate Fault Detection with GPGPUs and LLVM. 540-546 - Mathias Morbitzer, Benedikt Kopf, Philipp Zieris:
GuaranTEE: Introducing Control-Flow Attestation for Trusted Execution Environments. 547-553 - Gudipati Sravya, Pasupuleti Syam Kumar, R. Padmavathy:
Secure Lattice-Based Ciphertext-Policy Attribute-Based Encryption from Module-LWE for Cloud Storage. 554-556 - Hang Shi, Jie Zhao, Chonglin Gu, Mingyue Wang, Hejiao Huang:
Enabling Efficient Multidimensional Encrypted Data Aggregation for Fog-Cloud-Based Smart Grid. 557-559 - Bahador Yeganeh, Ramakrishnan Durairajan, Reza Rejaie, Walter Willinger:
A Case for Performance- and Cost-Aware Multi-Cloud Overlays. 560-566 - Manoj Pravakar Saha, Danlin Jia, Janki Bhimani, Ningfang Mi:
MoKE: Modular Key-value Emulator for Realistic Studies on Emerging Storage Devices. 567-569 - Zilong Zhao, Robert Birke, Lydia Y. Chen:
GDTS: GAN-Based Distributed Tabular Synthesizer. 570-576
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