• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 16,301 matches

• 2025
• 
  Sakshi Patni, Deepika Saxena, Ashutosh Kumar Singh:
  Resource Management in Cloud Computing - Concepts and Implementation. Springer 2025, ISBN 978-3-031-83052-5, pp. 1-220
• 
  Nora Omran Alkaam, Abu Bakar Md Sultan, Masnida Hussin, Khaironi Yatim Sharif:
  Hybrid Henry Gas-Harris Hawks Comprehensive-Opposition Algorithm for Task Scheduling in Cloud Computing. IEEE Access 13: 12956-12965 (2025)
• 
  Andreas Andreou, Constandinos X. Mavromoustakis, Evangelos K. Markakis, Athina Bourdena, George Mastorakis:
  Sustainable AI With Quantum-Inspired Optimization: Enabling End-to-End Automation in Cloud-Edge Computing. IEEE Access 13: 54622-54635 (2025)
• 
  Zheshu Jia:
  Research on Image Recognition and Classification Algorithms in Cloud Computing Environment Based on Deep Neural Networks. IEEE Access 13: 19728-19754 (2025)
• 
  Mallu Shiva Rama Krishna, D. Khasim Vali:
  Meta-RHDC: Meta Reinforcement Learning Driven Hybrid Lyrebird Falcon Optimization for Dynamic Load Balancing in Cloud Computing. IEEE Access 13: 36550-36574 (2025)
• 
  Mahmoud Skafi, Manal M. Yunis, Ahmed Sherif Zekri, Julie Bu Daher:
  The Confluence of Big Data and Cloud Computing in SME Adoption Strategies. IEEE Access 13: 37789-37811 (2025)
• 
  Keyvan Atbaee Tabary, Homayun Motameni, Behnam Barzegar, Ebrahim Akbari, Hossien Shirgahi, Mehran Mokhtari:
  QoS Aware Task Scheduling Using Hybrid Genetic Algorithm in Cloud Computing. IEEE Access 13: 51603-51616 (2025)
• 
  Si-Wen Zhang, Jie-Sheng Wang, Shi-Hui Zhang, Yu-Xuan Xing, Xiao-Fei Sui, Yun-Hao Zhang:
  Task scheduling in cloud computing systems using multi-objective honey badger algorithm with two hybrid elite frameworks and circular segmentation screening. Artif. Intell. Rev. 58(2): 48 (2025)
• 
  Mengyuan Ge, Junfeng Yao, Baorong Yang, Ningna Wang, Zhonggui Chen, Xiaohu Guo:
  RBF-MAT: Computing medial axis transform from point clouds by optimizing radial basis functions. Comput. Aided Geom. Des. 118: 102421 (2025)
• 
  Atul B. Kathole, Kapil Netaji Vhatkar, Savita Lonare, Aniruddha P. Kshirsagar:
  Optimization-based resource scheduling techniques in cloud computing environment: A review of scientific workflows and future directions. Comput. Electr. Eng. 123: 110080 (2025)
• 
  Abhishek Hazra, Poonam Maurya, Alakesh Kalita, Suman Deb, Mohan Gurusamy, Varun G. Menon:
  Cognitive Computing and Machine Intelligence in Fog-Cloud Infrastructure for Industry 5.0. IEEE Consumer Electron. Mag. 14(2): 20-25 (2025)
• 
  Ali Boroumand, Mirsaeid Hosseini Shirvani, Homayun Motameni:
  A heuristic task scheduling algorithm in cloud computing environment: an overall cost minimization approach. Clust. Comput. 28(2): 137 (2025)
• 
  Hong Chen, Jianxun Liu:
  Burst load scheduling latency optimization through collaborative content caching in edge-cloud computing. Clust. Comput. 28(3): 166 (2025)
• 
  Hao Guo, Bin Deng, Weidong Li:
  Multi-resource maximin share fair allocation in the cloud-edge collaborative computing system with bandwidth demand compression. Clust. Comput. 28(2): 98 (2025)
• 
  Torana Kamble, Madhuri Ghuge, Ritu Jain, Vaishali Sarbhukan Bodade:
  Secure data transmission in cloud computing using a cyber-security trust model with multi-risk protection scheme in smart IOT application. Clust. Comput. 28(2): 79 (2025)
• 
  Shobhana Kashyap, Avtar Singh, Sukhpal Singh Gill:
  Machine learning-centric prediction and decision based resource management in cloud computing environments. Clust. Comput. 28(2): 130 (2025)
• 
  Ashfaq Ahmad Najar, S. Manohar Naik:
  AE-CIAM: a hybrid AI-enabled framework for low-rate DDoS attack detection in cloud computing. Clust. Comput. 28(2): 103 (2025)
• 
  Arabinda Pradhan, Amardeep Das, Sukant Kishoro Bisoy:
  Modified parallel PSO algorithm in cloud computing for performance improvement. Clust. Comput. 28(2): 131 (2025)
• 
  Wangbo Shen, Weiwei Lin, Wentai Wu, Haijie Wu, Keqin Li:
  Reinforcement learning-based task scheduling for heterogeneous computing in end-edge-cloud environment. Clust. Comput. 28(3): 179 (2025)
• 
  Guikun Wang, Bin Wen, Jingtao He, Qingbin Meng:
  A new approach to reduce energy consumption in priority live migration of services based on green cloud computing. Clust. Comput. 28(3): 207 (2025)
• 
  Yuping Wang, Peng Zhang, Bo Wang, Zhifeng Zhang, Yaoli Xu, Bin Lv:
  A hybrid PSO and GA algorithm with rescheduling for task offloading in device-edge-cloud collaborative computing. Clust. Comput. 28(2): 101 (2025)
• 
  Berend Jelmer Dirk Gort, Godfrey Kibalya, Maria A. Serrano, Angelos Antonopoulos:
  Forecasting Trends in Cloud-Edge Computing: Unleashing the Power of Attention Mechanisms. IEEE Commun. Mag. 63(1): 108-114 (2025)
• 
  Long Chen, Guangrui Liu, Jinquan Zhang, Xiaodong Zhang:
  Scheduling ensemble workflows on hybrid resources in IaaS clouds. Computing 107(1): 22 (2025)
• 
  Arash Deldari, Alireza Holghinezhad:
  An IoT-based bag-of-tasks scheduling framework for deadline-sensitive applications in fog-cloud environment. Computing 107(1): 7 (2025)
• 
  Miaolei Deng, Umer Nauman, Yuhong Zhang:
  NS-OWACC: nature-inspired strategies for optimizing workload allocation in cloud computing. Computing 107(1): 12 (2025)
• 
  Mehdi Ghorbani, Navid Khaledian, Setareh Moazzami:
  ALBLA: an adaptive load balancing approach in edge-cloud networks utilizing learning automata. Computing 107(1): 34 (2025)
• 
  Ying Jiang, Yifa Huang, Zenghui Li, Ziran Zuo, Chunhong Liu:
  TimesLap: Mutability workload sequence prediction based on Laplacian Kernel in the cloud. Computing 107(1): 39 (2025)
• 
  Kotteswari Karthikeyan, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Anand Nayyar, Anupam Kumar Sharma:
  EELB: an energy-efficient load balancing model for cloud environment using Markov decision process. Computing 107(3): 81 (2025)
• 
  M. R. Naveen Kumar, B. Annappa, Vishwas Yadav:
  Efficient Kalman filter based deep learning approaches for workload prediction in cloud and edge environments. Computing 107(1): 10 (2025)
• 
  Jitendra Kumar, Deepika Saxena, Jatinder Kumar, Abhilash Bhadoria, A. Anjali, Ashutosh Kumar Singh:
  A hybrid neural network and cooperative PSO model for dynamic cloud workloads prediction. Computing 107(3): 72 (2025)

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