Formulating monitoring strategy based on multiple SLA parameters for multi-tenant service-based systems

The widely used service-based systems (SBSs) are composed of individual services and delivered to multiple tenants. When runtime anomalies occurred, the violation rate of service level agreement (SLA) can increase remarkably. Therefore, service monitoring is crucial for meeting the tenant's quality of service (QoS) requirements. However, monitoring each service constantly wastes resources. In this paper, we propose a monitoring strategy based on multiple SLA parameters for multi-tenant SBSs (MMTS). The criticality of a service is evaluated to the importance of each service in a SBS based on QoS and tenants, tenants are ranked by multiple SLA parameters. Afterwards, monitoring benefit, resource cost, and system overload are weighed to formulate a cost-effective monitoring strategy. Finally, MMTS is evaluated with comprehensive experiments under multiple QoS dimensions and the results have shown that MMTS can outperform other six algorithms in the SLA violation rate and the cost-effectiveness of service monitoring.