ABSTRACT

There are many issues and problems in cloud computing that researchers try to solve by using different techniques. Most of the cloud challenges are NP-hard problems; therefore, many meta-heuristic techniques have been used for solving these challenges. As a famous and powerful meta-heuristic algorithm, the Ant Colony Optimisation (ACO) algorithm has been recently used for solving many challenges in the cloud. However, in spite of the ACO potency for solving optimisation problems, its application in solving cloud issues in the form of a review article has not been studied so far. Therefore, this paper provides a complete and detailed study of the different types of ACO algorithms for solving the important problems and issues in cloud computing. Also, the number of published papers for various publishers and different years is shown. In this paper, available challenges are classified into different groups, including scheduling, resource allocation, load balancing, consolidation, virtual machine placement, service composition, energy consumption, and replication. Then, some of the selected important techniques from each category by applying the selection process are presented. Besides, this study shows the comparison of the reviewed approaches and also it highlights their principal elements. Finally, it highlights the relevant open issues and some clues to explain the difficulties. The results revealed that there are still some challenges in the cloud environments that the ACO is not applied to solve.

摘要

研究人员尝试使用不同的技术来解决云计算中的许多问题。大多数云挑战都是 NP 难题；因此，许多元启发式技术已被用于解决这些挑战。作为一种著名且强大的元启发式算法，蚁群优化（ACO）算法最近已被用于解决云中的许多挑战。然而，尽管 ACO 具有解决优化问题的功效，但迄今为止尚未以评论文章的形式研究其在解决云问题中的应用。因此，本文对不同类型的 ACO 算法进行了完整而详细的研究，以解决云计算中的重要问题和问题。此外，还显示了不同出版商和不同年份发表的论文数量。在本文中，可用的挑战分为不同的组，包括调度、资源分配、负载平衡、整合、虚拟机放置、服务组合、能耗和复制。然后，介绍了通过应用选择过程从每个类别中选择的一些重要技术。此外，本研究还对所审查的方法进行了比较，并强调了它们的主要要素。最后，它强调了相关的悬而未决的问题和一些解释困难的线索。结果表明，云环境中仍然存在一些 ACO 无法解决的挑战。能源消耗和复制。然后，介绍了通过应用选择过程从每个类别中选择的一些重要技术。此外，本研究还对所审查的方法进行了比较，并强调了它们的主要要素。最后，它强调了相关的悬而未决的问题和一些解释困难的线索。结果表明，云环境中仍然存在一些 ACO 无法解决的挑战。能源消耗和复制。然后，介绍了通过应用选择过程从每个类别中选择的一些重要技术。此外，本研究还对所审查的方法进行了比较，并强调了它们的主要要素。最后，它强调了相关的悬而未决的问题和一些解释困难的线索。结果表明，云环境中仍然存在一些 ACO 无法解决的挑战。