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目前,Iaa S云环境下的资源调度算法与负载均衡算法都存在一些不足,为此我们需要对基础设施云关键算法进行研究,通过不同的手段和方式来实现关键算法,弥补固有方法上的不足。从目前情况分析,由于数据量非常庞大,因此基础设施云关键算法的研究和实现面对很多的问题,需采用相应的方法一一解决。另一方面,还要考虑到影响算法的各项因素,包括基础设施云、负载均衡等等。在今后研究中,需进一步扩大基础设施云关键算法的范围,获得更多的数据和信息,完善算法体系,促进工作的更大进步。
At present, there are some deficiencies in resource scheduling algorithms and load balancing algorithms in Iaa S cloud environment. Therefore, we need to study the key algorithms of infrastructure cloud, implement the key algorithms by different means and ways, and make up for the deficiencies in the inherent methods . From the current situation analysis, due to the huge amount of data, the research and implementation of key algorithms of infrastructure cloud face a lot of problems and need to be solved by corresponding methods one by one. On the other hand, consider the factors that affect the algorithm, including the infrastructure cloud, load balancing and more. In the future research, it is necessary to further expand the scope of key infrastructure cloud algorithms, obtain more data and information, improve the algorithm system, and promote greater progress of work.