A Resources Optimization Method in an Elixir IoT Cloud Environment Based on Basic Operations Performance Measurements

In our interconnected world, day after day, an increasing number of devices of various natures are accessing fixed and mobile networks to share and collect information. Regardless of the use and nature of the information, the more diffused overall system topology relies on scalable cloud infrastructures. Consequently, during device requests to process, retrieve, or store information, several cloud resources are involved. Initially, almost only computers and laptops were prevalent, hence their number was comparable to that of humans accessing the Internet. Then, mobile devices, network cameras, and nowadays plenty of IoT objects, all around us, are accessing cloud infrastructures. The novelty is that their number becomes bigger and bigger compared to the humans accessing the Internet. This implies that the ratio between cloud resources involved and the number of users accessing the network is growing, and is also growing fast. This new trend is changing profitability of cloud services delivered with traditional method and tools, hence is going to be necessary the use of more efficient tools, with procedures to fine tune their parameters. This study will justify the use of Elixir, in Erlang virtual machine, by comparing it with other diffused languages such as Python and JavaScript on NodeJs and GOLANG (GO hereinafter) in a “massive IoT” context. Also, a measurement procedure to choose cloud-side parameter is presented.