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Publication search results
found 72 matches
- 2023
- Areej Alabbas
, Ashish Kaushal
, Osama Almurshed, Omer F. Rana
, Nitin Auluck, Charith Perera:
Performance Analysis of Apache OpenWhisk Across the Edge-Cloud Continuum. CLOUD 2023: 401-407 - A. K. M. Mubashwir Alam, Keke Chen:
Making Your Program Oblivious: A Comparative Study for Side-channel-Safe Confidential Computing. CLOUD 2023: 282-289 - Amal Alzahrani, Maolin Tang:
A Microservice-based SaaS Deployment in a Data Center Considering Computational Server and Network Energy Consumption. CLOUD 2023: 505-515 - 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. CLOUD 2023: 69-71 - Amirali Amiri
, Uwe Zdun:
Cost-Aware Multifaceted Reconfiguration of Service-and Cloud-Based Dynamic Routing Applications. CLOUD 2023: 428-438 - Remo Andreoli, Harald Gustafsson, Luca Abeni, Raquel Mini, Tommaso Cucinotta:
Design-Time Analysis of Time-Critical and Fault-Tolerance Constraints in Cloud Services. CLOUD 2023: 415-417 - Marco Anisetti, Filippo Berto
, Ruslan Bondaruc:
QoS-Aware Deployment of Service Compositions in 5G-Empowered Edge-Cloud Continuum. CLOUD 2023: 471-478 - Md Washik Al Azad, Shifat Sarwar, Sifat Ut Taki, Spyridon Mastorakis:
The Case for the Anonymization of Offloaded Computation. CLOUD 2023: 84-95 - Tayebeh Bahreini, Asser N. Tantawi, Alaa Youssef:
A Carbon-aware Workload Dispatcher in Cloud Computing Systems. CLOUD 2023: 212-218 - David Balla, Markosz Maliosz
, Csaba Simon:
An Auto-Scaling Framework for Predictable Open Source FaaS Function Chains. CLOUD 2023: 229-237 - 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. CLOUD 2023: 249-261 - Cristiano E. Caon, Jie Li
, Yong Chen:
Effective Management of Time Series Data. CLOUD 2023: 408-414 - Ming Chen, Maria Rodriguez Read
, Patricia Arroba
, Rajkumar Buyya:
EN-Beats: A Novel Ensemble Learning-Based Method for Multiple Resource Predictions in Cloud. CLOUD 2023: 144-154 - Miltiadis Chrysopoulos, Ioannis Konstantinou
, Nectarios Koziris:
Deep Reinforcement Learning in Cloud Elasticity Through Offline Learning and Return Based Scaling. CLOUD 2023: 13-23 - Junjie Chu
, Prashant Singh, Salman Toor:
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities. CLOUD 2023: 486-492 - Dionysios Diamantopoulos, Burkhard Ringlein, Beat Weiss, Mark A. Lantz, François Abel:
Composability of Cloud Accelerators in Virtual World Simulations. CLOUD 2023: 272-274 - Aggelos Ferikoglou, Panos Chrysomeris, Achilleas Tzenetopoulos, Manolis Katsaragakis, Dimosthenis Masouros, Dimitrios Soudris
:
IRIS: Interference and Resource Aware Predictive Orchestration for ML Inference Serving. CLOUD 2023: 1-12 - Giulio Garbi, Emilio Incerto, Mirco Tribastone:
μP: A Development Framework for Predicting Performance of Microservices by Design. CLOUD 2023: 178-188 - 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. CLOUD 2023: 1-3 - Younghun Go, Changyong Shin, Jeunghwan Lee, Yeonho Yoo
, Gyeongsik Yang, Chuck Yoo:
Selective Preemption of Distributed Deep Learning Training. CLOUD 2023: 175-177 - Elias Grünewald, Jannis Kiesel, Siar-Remzi Akbayin, Frank Pallas:
Hawk: DevOps-driven Transparency and Accountability in Cloud Native Systems. CLOUD 2023: 167-174 - Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, Prateeti Mohapatra:
Learning Representations on Logs for AIOps. CLOUD 2023: 155-166 - 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. CLOUD 2023: 418-427 - 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. CLOUD 2023: 1-3 - Tevfik Kosar
, Manish Parashar, Judy Fox, Christoph Hagleithner:
Message from the Chairs. CLOUD 2023: xix - Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell:
xCloudServing: Automated ML Serving Across Clouds. CLOUD 2023: 1-12 - Kyungtae Lee, Yeongjin Kim:
Time-Dependent Pricing and Scheduling for Cloud Object Storage Service Providers. CLOUD 2023: 439-449 - Hyojung Lee, Lam Vu, Minsung Jang:
Economics of Spot Instance Service: A Two-Stage Dynamic Game Approach. CLOUD 2023: 341-347 - Pawissanutt Lertpongrujikorn
, Mohsen Amini Salehi:
Object as a Service (OaaS): Enabling Object Abstraction in Serverless Clouds. CLOUD 2023: 238-248 - Jie Li
, Rui Wang, Ghazanfar Ali, Tommy Dang, Alan Sill, Yong Chen:
Workload Failure Prediction for Data Centers. CLOUD 2023: 479-485
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