Artículos de revistas
A Three-level Scheduler to Execute Scientific Experiments on Federated Clouds
Fecha
2015-10Registro en:
Pacini Naumovich, Elina Rocío; Mateos Diaz, Cristian Maximiliano; Garcia Garino, Carlos Gabriel; A Three-level Scheduler to Execute Scientific Experiments on Federated Clouds; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 13; 10; 10-2015; 3359 - 3369
1548-0992
Autor
Pacini Naumovich, Elina Rocío
Mateos Diaz, Cristian Maximiliano
Garcia Garino, Carlos Gabriel
Resumen
For executing current simulated scientific experiments it is necessary to have huge amounts of computing power. A solution path to this problem is the federated Cloud model, where custom virtual machines (VM) are scheduled in appropriate hosts belonging to different providers to execute such experiments, minimizing response time. In this paper, we study schedulers for federated Clouds. Scheduling is performed at three levels. First, at the broker level, datacenters are selected by their network latencies via three policies ?Lowest-Latency-Time-First, First-Latency-Time-First, and Latency-Time-In-Round?. Second, at the infrastructure level, two Cloud VM schedulers based on Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are implemented. At this level the scheduler is responsible for mapping VMs to datacenter hosts. Finally, at the VM level, jobs are assigned for execution into the pre-allocated VMs. We evaluate, through simulated experiments, how the proposed three-level scheduler performs w.r.t. the response time delivered to the user as the number of Cloud machines increases, a property known as horizontal scalability.