Pricing and quantization of memory for cloud services with uniform request distribution

Abstract

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.