Workload Trace Generation for Dynamic Environments in Cloud Computing

TL;DR

This paper introduces workload trace generation methods for dynamic virtual machine placement in cloud data centers, providing environments and traces to improve optimization strategies for cloud resource management.

Contribution

It presents new dynamic environments and workload traces specifically designed for VMP in cloud computing, addressing the need for realistic simulation tools.

Findings

Provides a comprehensive set of dynamic environments for VMP

Offers workload trace examples for simulation and testing

Enhances the tools available for optimizing cloud resource allocation

Abstract

Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large number of possible optimization criteria and different formulations that could be studied. Considering the on-demand model of cloud computing, the VMP problem should be optimized dynamically to efficiently attend typical workload of modern applications. This work proposes several dynamic environments for solving the VMP from the providers' perspective based on the most relevant dynamic parameters studied so far in the VMP literature. A complete set of environments and workload traces examples are presented in this work.