Al-Masri et al., 2020
| Publication | Publication Date | Title |
|---|---|---|
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| Patel et al. | Survey on resource allocation strategies in cloud computing | |
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| Choudhary et al. | A novel strategy for deterministic workflow scheduling with load balancing using modified min-min heuristic in cloud computing environment | |
| Li et al. | MapReduce delay scheduling with deadline constraint | |
| Kumar et al. | Analysis on Resource Allocation for parallel processing and Scheduling in Cloud Computing | |
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| Wang et al. | Electricity-cost-aware multi-workflow scheduling in heterogeneous cloud | |
| Awada et al. | Air-to-air collaborative learning: A multi-task orchestration in federated aerial computing | |
| Muniswamy et al. | Joint optimization of load balancing and resource allocation in cloud environment using optimal container management strategy | |
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| Li et al. | On scheduling of high-throughput scientific workflows under budget constraints in multi-cloud environments | |
| Khattar et al. | Multi-criteria-based energy-efficient framework for VM placement in cloud data centers | |
| Zohrati et al. | Flexible approach to schedule tasks in cloud‐computing environments | |
| Golmohammadi et al. | A review on workflow scheduling and resource allocation algorithms in distributed mobile clouds | |
| Bugingo et al. | Comparative evaluation of task priorities for processing and bandwidth capacities-based workflow scheduling for cloud environment | |
| Li et al. | Pattern learning for scheduling microservice workflow to cloud containers | |
| Sun et al. | Evolving scheduling heuristics for energy-efficient dynamic workflow scheduling in cloud via genetic programming hyper-heuristics | |
| Pathak et al. | Using TOPSIS for enhancing service provisioning across Fog environments |