Cloud Computing is a growing technology in which resources are provided as a service. The efficiency in providing the resources as a service depends on various factors. One of the major concerns is the suitable allocation of resources to the job. Hence, this paper introduces an Auction based model (CMCDA) for selecting the best customer-providers pairs based on credibility for resource provisioning in cloud computing environment. The Credibility based Multi-attribute Combinative Double Auction (CMCDA) model reduces the complexity in providing the resources for the execution of jobs and fulfill the expectations of both the customers and providers in cloud computing environment. The model also finds the best customer-providers pairs in an efficient way by calculating the credibility values before the resource provision. The highest credibility values pairs are selected as the best customer-providers pairs in the list. Here, the credibility value represents the level of customers and providers satisfaction. The time complexity of the proposed CMCDA algorithm is O(nlog(n)), Since the algorithm only goes through the sorted bid and tries to match them, being executed at most l(n + m) times. The performance of the proposed CMCDA is compared with the Combinatorial Double Auction Resource Allocation (CDARA) model which is the existing cloud double auction model, using CloudAuction simulator. The experimental results demonstrate that the proposed CMCDA performs efficiently than the existing CDARA model for resource provisioning in cloud environment.

云计算是一种不断发展的技术，其中资源作为服务提供。提供资源即服务的效率取决于各种因素。主要问题之一是为工作分配适当的资源。因此，本文介绍了一种基于拍卖的模型（CMCDA），该模型用于基于信誉来选择最佳的客户-提供商对，以便在云计算环境中进行资源供应。基于信誉的多属性组合双拍卖（CMCDA）模型降低了为执行工作提供资源的复杂性，并满足了云计算环境中客户和提供商的期望。该模型还通过在提供资源之前计算信誉值，以有效的方式找到最佳的客户-提供商对。在列表中，最高信誉值对被选择为最佳客户提供者对。此处，信誉值代表客户和提供商的满意度。提出的CMCDA算法的时间复杂度为O（nlog（n）），由于该算法仅经过排序的出价并尝试匹配它们，因此最多执行l（n  +  m）次。使用CloudAuction模拟器，将建议的CMCDA的性能与组合双拍卖资源分配（CDARA）模型进行比较，该模型是现有的云双拍卖模型。实验结果表明，针对云环境中的资源供应，所提出的CMCDA比现有的CDARA模型更有效。