Работы, цитирующие эту работу

Работ: 3

Работа: Optimization of Load Balancing and Task Scheduling in Cloud Computing Environments Using Artificial Neural Networks-Based Binary Particle Swarm Optimization (BPSO)

1. Fault tolerant trust based task scheduler using Harris Hawks optimization and deep reinforcement learning in multi cloud environment

   Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty +5

   СтатьяCloud Computing and Resource ManagementScientific Reports2023Цитирований: 2

   ABIABI:AkademIndex/openalex/2026.other.085397

2. Efficient deep reinforcement learning based task scheduler in multi cloud environment

   Sudheer Mangalampalli, Ganesh Reddy Karri, M. V. Ratnamani +5

   СтатьяCloud Computing and Resource ManagementScientific Reports2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000136

3. Multi-Objective Prioritized Task Scheduler Using Improved Asynchronous Advantage Actor Critic (a3c) Algorithm in Multi Cloud Environment

   Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty +4

   СтатьяCloud Computing and Resource ManagementIEEE Access2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000232