Using Hybrid Scheduling Algorithms for Solving Blockchain Allocation on Cloud
M A El-Dosuky, Gamal H Eladl

TL;DR
This paper proposes a hybrid scheduling algorithm integrated with blockchain technology on the cloud to improve resource allocation, reduce delays, and prevent starvation, ensuring uninterrupted service delivery.
Contribution
It introduces a novel hybrid scheduling approach combined with blockchain for cloud resource management, addressing limitations of traditional algorithms.
Findings
Hybrid scheduling outperforms shortest-job-first and priority scheduling.
The method prevents starvation and balances resource load.
Analytical results show significant performance improvements.
Abstract
Companies are rushing to deliver their services and solutions through the cloud. The scheduling process is very critical in reducing delays. Scheduling also has a role in accessing resources without excessive waiting time. All this in context of modern advances in infrastructure and the emergence of Blockchain-as-a-service. What if integration is done between a hybrid scheduling algorithm and blockchain technology via the cloud. This integration aims to enhance and provide the service uninterruptedly. This method is distinguished, compared to other scheduling algorithms such as shortest-job-first and priority scheduling, that it does not suffer from starvation and it has a balanced load on resources. Based on analytical performance, the proposed hybrid scheduling has the markable result.
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Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing · Blockchain Technology in Education and Learning
