The ‘cloud computing’ technology is requisite for modern technology. It has a notable facet called Resource Allocation. This given paper proposes Hybridized Optimization algorithm that is the combination of ‘Shuffled Frog Leaping Algorithm’ (SFLA) and ‘Cuckoo Search’ (CS) Algorithm. This technique overcomes the limitations of the existing works like HABCCS algorithm, GTS algorithm task, krill herd algorithm, also combines the advantages of SFLA and CS. In this method, SFLA section performs the preceding steps; initializing the request size, generating requests, and estimate fitness value of SFLA, sorting, dividing and evaluating the requests of user. The SFLA encompasses the advantage of higher speed convergence and easier implementation, with the capacity of having global optimization and are utilized widely in numerous areas. Then, CS algorithm executes operations like initializing, generating, evaluate fitness function, modification and then evaluating the new solutions. The CS algorithms possess the advantage of easier evaluation and it is utilized in complex situations. In this given system, the request speed, sizes are evaluated. Those evaluations are utilized in allocating the resources on the server-side. Less computed times are consumed in this technique. An experimental outcome displays that the approach performs well in contrasting with other related approaches.

中文翻译：

---

使用 SFLA 和 Cuckoo 搜索混合的云计算中的资源分配

“云计算”技术是现代技术所必需的。它有一个值得注意的方面，称为资源分配。这篇给定的论文提出了混合优化算法，它结合了“Shuffled Frog Leaping Algorithm”（SFLA）和“Cuckoo Search”（CS）算法。该技术克服了HABCCS算法、GTS算法任务、磷虾群算法等现有工作的局限性，也结合了SFLA和CS的优点。在该方法中，SFLA 部分执行前面的步骤；初始化请求大小，生成请求，估计SFLA的适应度值，对用户的请求进行排序、划分和评估。SFLA 具有收敛速度更快、更容易实现的优点，具有全局优化的能力，被广泛应用于许多领域。然后，CS算法执行初始化、生成、评估适应度函数、修改和评估新解决方案等操作。CS 算法具有更容易评估的优点，并且可以在复杂的情况下使用。在这个给定的系统中，评估请求速度、大小。这些评估用于在服务器端分配资源。这种技术消耗的计算时间更少。实验结果表明，该方法与其他相关方法相比表现良好。这些评估用于在服务器端分配资源。这种技术消耗的计算时间更少。实验结果表明，该方法与其他相关方法相比表现良好。这些评估用于在服务器端分配资源。这种技术消耗的计算时间更少。实验结果表明，该方法与其他相关方法相比表现良好。