This review assesses the whale optimization algorithm's role in solving NP-hard problems in cloud computing, emphasizing key methods and unresolved issues.
Key Points
The whale optimization algorithm effectively addresses NP-hard problems in cloud computing, enabling improved solutions for complex challenges.
Key focus areas include load balancing and resource allocation, where various methods were examined to highlight their critical components.
The review assesses the application of metaheuristic algorithms like WOA across cloud computing challenges, identifying gaps in existing research.
Understanding the unresolved issues can pave the way for future research and enhance the WOA algorithm's application in cloud computing.