Pricing and quantization of memory for cloud services with uniform request distribution
Anwar Alyatama · 2018
Cloud computing services has emerged as the preferred technological option for future source of computing power across personal, enterprise and mobile computing applications. In this context, memory allocation has a significant bearing on the cloud based services. This paper reviews the problem of pricing and quantization when memory size requests follow a uniform distribution. We proposed a cloud computing service that advertises continuous (any) memory request size while actually supporting a small number of quantized memory sizes. We utilized simulation to investigate different factors that affect pricing and quantization such as worth model, memory size and granularity.