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Public providers around the world offer computing, storage, and communication services as virtual machines in a pay-per-use model. From the user perspective, it is important to choose providers and charging models to run distributed applications with quality of service at lower costs. In this work, we introduce an innovative strategy to decrease the cost of VM requests scheduling on different public cloud providers. The mechanism is based on redundancy with a mixed utilization of reserved and spot virtual machine (VM) instances, and it allows the balancing between cost and availability. We implemented a QoS-aware architecture that allows the scheduling of applications considering different VM charging models. Then, we propose an integer linear program (ILP) and a heuristic algorithm to compute the QoS-aware scheduling. Experimental results show that the proposed approach computes schedules with smaller costs than alternative approaches.

Customers of cloud services choose the VMs profiles (SLAs) offered by the provider, and pay according to how long these VMs are utilized. Many works deal with how to decrease the cost of VM requests scheduling, but consider solely the charging models in the SLA. However, other characteristics in the SLA must be taken into account when choosing a VM to execute users' applications (e.g. processing capacity). In order to fulfill the user needs and allow proper utilization of resources available in IaaS providers, this paper models a two-dimension SLA, namely charging model and VM type. The problem is modeled as an integer linear program to compute the scheduling regarding this SLA model. Simulations show that the proposed approach computes schedules that better fits the user needs and allow better utilization of VMs, resulting in a higher number of fulfilled requests than alternative approaches.

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