网络-云组合服务选择算法对比研究（英文）

Network-Cloud service selection algorithms:a comparative study

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。

Networking is indispensable for Cloud computing because there must be data communications among users and Cloud providers. The services received by Cloud users are composite ones that consist of both Cloud services and networking services, which are actually network-Cloud composite services. With the rapid development of Cloud services, selecting an ideal composite network-Cloud service with superior quality-of-service (QoS) across networking and cloud domains (includingdelay, pricing, computing power etc. ) has been a crucial issue to address. Selecting the optimal service from a set ofalternative services can be formulated as a multi-criteria decision making (MCDM) problem. In this paper, we conduct acomparative study on performances of MCDM algorithms when it is applied in network-Cloud service selection. Three representativealgorithms, i. e. , TOPSIS(technique for order preference by similarity to an ideal solution) , ELECTRE(eliminationand choice expressing reality) , and AHP( analytic hierarchy process) are employed and comprehensively discussedfrom both theoretical and experimental perspectives.