Payless Monitoring Service for Tenants in Cloud with Traffic and Energy-aware Function Deployment

Many applications are distributed in cloud as they consist of different modules and tiers. Cloud tenant must be able to monitor the deployed applications to ensure that it is operating correctly, meeting its SLAs, and fulfilling business requirements. Activating all type of monitoring functions for all tenant's applications at the same time is costly. The more required monitoring functions the more allocated cloud resources. Moreover, it incurs monetary cost for tenants. In this paper, the problem of virtual monitoring function (vMF) placement for service chains is modeled by maximizing both the network and computing resource utilization. Beside that, we propose a set of tenant policies, which are either monetary-driven or performance-driven, translated as constrains in optimal placement algorithm. Simulation results show that the proposed model can reduce the total incurred cost by up to 10% compared to the best non-optimal heuristic. Moreover, the proposed model can decrease the execution time about 84% compared to the basic solution.