VoIP service model for multi-objective scheduling in cloud infrastructure

Jorge M. Cortés Mendoza, Andrei Tchernykh, Ana Maria Simionovici, Pascal Bouvry, Sergio Nesmachnow, Bernabé Dorronsoro, Loic Didelot
2015 International Journal of Metaheuristics (IJMHeur)  
Voice over IP (VoIP) is very fast growing technology for the delivery of voice communications and multimedia data over Internet with lower cost. Early technical solutions mirrored the architecture of the legacy telephone network. Now, they have adopted the concept of distributed cloud VoIP. These solutions typically allow dynamic interconnection between users on any domains. However, providers face challenges to use infrastructure in the best efficient and cost effective ways. Hence, efficient
more » ... cheduling and load balancing algorithms are a fundamental part of this approach especially in presence of uncertainty of a very dynamic and unpredictable environment. In this paper, we formulate the problem of dynamic scheduling of VoIP services in distributed cloud environments and propose a model for bi-objective optimization. We consider it as the special case of the bin packing problem, and discuss solutions for provider cost optimization ensuring quality of service. Keywords-Cloud computing; Load balancing, Voice over IP (VoIP), Provider cost minimization, Quality of service (QoS). Reference to this paper should be made as follows: Cortes-Mendoza J. M., Tchernykh A., Simionovici A.M., Bouvry P., Nesmachnow S., Dorronsoro B., Didelot L., (2015). "VoIP Service Model for Multi-objective Scheduling in Cloud Infrastructure". and leads the Parallel Computing Laboratory. He is PI and co-PI of number of international research projects and grants. He served as the general co-chair, program co-chair and committee member of professional conferences. His main interests include scheduling, load balancing, adaptive resource allocation, scalable energy-aware algorithms, cloud computing, multi-objective optimization, heuristics and metaheuristic, and computing with uncertainty. Ana-Maria Simionovici is a PhD candidate at the University of Luxembourg. She is currently working on evolutionary computing, prediction and load balancing. She holds Master's degree in Computational
doi:10.1504/ijmheur.2015.074251 fatcat:6q5ukixzhjfgrmjo2dxsu4m6le