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网络的性能在云服务交付过程中发挥着至关重要的作用。对于终端用户,所获得的服务实质是一种网络-云的组合服务,即云计算用户所得到的服务既包含云服务还包含网络服务。如何从众多候选服务中选出最佳的服务提供给用户已成为云计算研究领域的重要课题。解决该问题需要综合考虑网络和云的诸多服务质量参数,例如延迟、价格和计算能力等。针对该问题将其描述为一类多准则决策(multi-criteria decision making,MCDM)问题,并对比了TOPSIS(technique for order preference by similarity to an ideal solution),ELECTRE(elimination and choice expressing reality)和AHP(analytic hierarchy process)3种常见的多准则决策算法。利用理论分析和数值计算方法对3种算法在网络-云服务选择的优劣展开了对比和探讨。
The performance of the network plays a crucial role in the delivery of cloud services. For the end user, the service obtained is essentially a network-cloud combination service, that is, the service obtained by the cloud computing user includes both the cloud service and the web service. How to choose the best service from many candidate services to users has become an important issue in the field of cloud computing research. Addressing this issue needs to take into account the many quality of service parameters of the network and cloud, such as latency, price and computing power. This problem is described as a kind of multi-criteria decision making (MCDM) problem, and compared with TOPSIS (technique for order preference by similarity to an ideal solution), ELECTRE (elimination and choice expressing reality) and AHP (analytic hierarchy process) three kinds of common multi-criteria decision algorithm. The theoretical and numerical methods are used to compare and discuss the advantages and disadvantages of the three algorithms in the network-cloud service selection.