All Stories

  1. A survey on the scheduling mechanisms in serverless computing: a taxonomy, challenges, and trends
  2. Memory orchestration mechanisms in serverless computing: a taxonomy, review and future directions
  3. A decision-making mechanism for task offloading using learning automata and deep learning in mobile edge networks
  4. A multi-objective QoS-aware IoT service placement mechanism using Teaching Learning-Based Optimization in the fog computing environment
  5. Towards an automatic deployment model of IoT services in Fog computing using an adaptive differential evolution algorithm
  6. A stochastic multi-objective optimization method for railways scheduling: a NSGA-II-based hybrid approach
  7. A review on the edge caching mechanisms in the mobile edge computing: A social-aware perspective
  8. A hybrid clustering approach for link prediction in heterogeneous information networks
  9. An autonomous proactive content caching method in edge computing environment: a learning-based approach
  10. A Blockchain-Enabled Serverless Approach for IoT Healthcare Applications
  11. Scheduling Mechanisms in Serverless Computing
  12. An Intrusion Detection System using Deep Cellular Learning Automata and Semantic Hierarchy for Enhancing RPL Protocol Security
  13. A cost-efficient IoT service placement approach using whale optimization algorithm in fog computing environment
  14. An efficient dynamic service provisioning mechanism in fog computing environment: A learning automata approach
  15. Deploying IoT services on the fog infrastructure: A graph partitioning‐based approach
  16. Data replica placement approaches in fog computing: a review
  17. Dynamic Resource Allocation Using Improved Firefly Optimization Algorithm in Cloud Environment
  18. Light-Edge: A Lightweight Authentication Protocol for IoT Devices in an Edge-Cloud Environment
  19. An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach
  20. Resource provisioning in edge/fog computing: A Comprehensive and Systematic Review
  21. A metaheuristic‐based data replica placement approach for data‐intensive IoT applications in the fog computing environment
  22. An autonomous intrusion detection system for the RPL protocol
  23. A metaheuristic-based computation offloading in edge-cloud environment
  24. An efficient data replica placement mechanism using biogeography-based optimization technique in the fog computing environment
  25. Proactive content caching in edge computing environment: A review
  26. A cost-efficient auto-scaling mechanism for IoT applications in fog computing environment: a deep learning-based approach
  27. Toward an autonomic approach for Internet of Things service placement using gray wolf optimization in the fog computing environment
  28. An auto-scaling mechanism for cloud-based multimedia storage systems: a fuzzy-based elastic controller
  29. A lightweight authentication protocol for IoT‐based cloud environment
  30. Data replication schemes in cloud computing: a survey
  31. Context-Aware Multi-User Offloading in Mobile Edge Computing: a Federated Learning-Based Approach
  32. Context‐aware computation offloading for mobile edge computing
  33. An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach
  34. Cloud manufacturing service composition in IoT applications: a formal verification-based approach
  35. A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective
  36. A workload clustering based resource provisioning mechanism using Biogeography based optimization technique in the cloud based systems
  37. A latency-aware and energy-efficient computation offloading in mobile fog computing: a hidden Markov model-based approach
  38. A learning-based resource provisioning approach in the fog computing environment
  39. Multiuser context‐aware computation offloading in mobile edge computing based on Bayesian learning automata
  40. Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach
  41. Joint computation offloading and resource provisioning for edge‐cloud computing environment: A machine learning‐based approach
  42. Resource provisioning for IoT services in the fog computing environment: An autonomic approach
  43. An efficient power-aware VM allocation mechanism in cloud data centers: a micro genetic-based approach
  44. A Survey on the Computation Offloading Approaches in Mobile Edge/Cloud Computing Environment: A Stochastic-based Perspective
  45. Resource provisioning using workload clustering in cloud computing environment: a hybrid approach
  46. An efficient resource provisioning approach for analyzing cloud workloads: a metaheuristic-based clustering approach
  47. A review on the computation offloading approaches in mobile edge computing: A game‐theoretic perspective
  48. Bio-inspired virtual machine placement schemes in cloud computing environment: taxonomy, review, and future research directions
  49. An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing
  50. Resource Management Approaches in Fog Computing: a Comprehensive Review
  51. An autonomous resource provisioning framework for massively multiplayer online games in cloud environment
  52. An elastic controller using Colored Petri Nets in cloud computing environment
  53. A self‐learning fuzzy approach for proactive resource provisioning in cloud environment
  54. LARPA: A learning automata‐based resource provisioning approach for massively multiplayer online games in cloud environments
  55. Multiobjective virtual machine placement mechanisms using nature-inspired metaheuristic algorithms in cloud environments: A comprehensive review
  56. ControCity: An Autonomous Approach for Controlling Elasticity Using Buffer Management in Cloud Computing Environment
  57. LP-WSC: a linear programming approach for web service composition in geographically distributed cloud environments
  58. An ensemble CPU load prediction algorithm using a Bayesian information criterion and smooth filters in a cloud computing environment
  59. FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments
  60. WITHDRAWN: A fuzzy auto-scaling approach using workload prediction for MMOG application in a cloud environment
  61. A moth-flame optimization algorithm for web service composition in cloud computing: Simulation and verification
  62. A learning-based approach for virtual machine placement in cloud data centers
  63. A learning automata-based ensemble resource usage prediction algorithm for cloud computing environment
  64. Resource provisioning for cloud applications: a 3-D, provident and flexible approach
  65. Auto-scaling web applications in clouds: A cost-aware approach
  66. CSA-WSC: cuckoo search algorithm for web service composition in cloud environments
  67. virtual machine placement in cloud computing environment
  68. An autonomic resource provisioning approach for service-based cloud applications: A hybrid approach
  69. ENPP: Extended Non-preemptive PP-aware Scheduling for Real-time Cloud Services
  70. An Effiecient Approach for Resource Auto-Scaling in Cloud Environments
  71. An Efficient Approach based on Genetic Algorithm for multi-tenant Resource Allocation in SaaS Applications
  72. An Extended Approach based on Genetic Algorithm for Multi-Tenant Data Management
  73. An autonomic approach for resource provisioning of cloud services
  74. Natural Convection in Nanofluid-Filled Square Chambers Subjected to Linear Heating on Both Sides; A Numerical Study
  75. Smart Virtual Machine Placement Using Learning Automata to Reduce Power Consumption in Cloud Data Centers
  76. A trust model for resource selection in cloud computing environment
  77. Improving resource management of IaaS providers in cloud federation
  78. LARFH: Provisioning dynamic approach based on learning automata for data fault-tolerance in the cloud storage
  79. A Trust Model Based on Quality of Service in Cloud Computing Environment
  80. Resource Management of IaaS Providers in Cloud Federation
  81. A Novel Approach for Reduce Energy Consumption in Mobile Cloud Computing
  82. A Novel Approach for Optimization Auto-Scaling in Cloud Computing Environment
  83. A Novel Approach for Reduce Energy Consumption in Mobile Cloud Computing
  84. An Energy-efficient Approach based on Learning Automata in Mobile Cloud Computing
  85. Fault-Tolerance Techniques in Cloud Storage: A Survey
  86. A Novel Approach for Optimization Auto-Scaling in Cloud Computing Environment
  87. A Cost-AWARE Approach Based ON Learning Automata FOR Resource Auto-Scaling IN Cloud Computing Environment
  88. An Extended Approach for Efficient Data Storage in Cloud Computing Environment
  89. De-duplication Approaches in Cloud Computing Environment: A Survey
  90. ASTAW: Auto-Scaling Threshold-based Approach for Web Application in Cloud Computing Environment
  91. NASLA: Novel Auto Scaling Approach based on Learning Automata for Web Application in Cloud Computing Environment
  92. A New Framework for the Evaluation of QoS in Cloud Federation
  93. EDLT: An Extended DLT to Enhance Load Balancing in Cloud Computing
  94. ACCFLA: Access Control in Cloud Federation using Learning Automata
  95. Dynamic Approach Based on Learning Automata for Data Fault-Tolerance in the Cloud Storage