References of "iturriaga, santiago"
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See detailEnergy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search
Iturriaga, Santiago; Nesmachnow, Sergio; Dorronsoro, Bernabe et al

in Computing and Informatics (2013), 32(2), 273-294

This article introduces ME-MLS, an e cient multithreading local search algorithm for solving the multiobjective scheduling problem in heterogeneous com- puting systems. We consider the minimization of ... [more ▼]

This article introduces ME-MLS, an e cient multithreading local search algorithm for solving the multiobjective scheduling problem in heterogeneous com- puting systems. We consider the minimization of both the makespan and energy consumption objectives. The proposed method follows a fully multiobjective ap- proach, applying a Pareto-based dominance search that is executed in parallel by using several threads. The experimental analysis demonstrates that the new multi- threading algorithm outperforms a set of fast and accurate two-phases deterministic heuristics based on the traditional MinMin. The new ME-MLS method is able to achieve signi cant improvements in both makespan and energy consumption objec- tives in reduced execution times for a large set of testbed instances, while exhibiting a near linear speedup behavior when using up to 24 threads. [less ▲]

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See detailA parallel hybrid evolutionary algorithm for the optimization of broker virtual machines subletting in cloud systems
iturriaga, Santiago; Nesmachnow, Sergio; Dorronsoro, Bernabe et al

in International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (2013)

This article presents a new parallel hybrid evolutionary algorithm to solve the problem of virtual machines subletting in cloud systems. The problem deals with the efficient allocation of a set of virtual ... [more ▼]

This article presents a new parallel hybrid evolutionary algorithm to solve the problem of virtual machines subletting in cloud systems. The problem deals with the efficient allocation of a set of virtual machine requests from customers into available pre-booked resources from a cloud broker, in order to maximize the broker profit. The proposed parallel algorithm uses a distributed subpopulations model, and a Simulated Annealing operator. The experimental evaluation analyzes the profit and makespan results of the proposed methods over a set of problem instances that account for realistic workloads and scenarios using real data from cloud providers. A comparison with greedy heuristics indicates that the proposed method is able to compute solutions with up to 133.8% improvement in the profit values, while accounting for accurate makespan results. [less ▲]

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See detailList scheduling heuristics for virtual machine mapping in cloud systems
nesmachnow, sergio; iturriaga, santiago; dorronsoro, bernabe et al

in VI Latin American Symposium on High Performance Computing (HPCLatam) (2013)

This article introduces the formulation of the VirtualMachine Planning Problem in cloud computing systems. It deals with the efficient allocation of a set of virtual machine requests from customers into ... [more ▼]

This article introduces the formulation of the VirtualMachine Planning Problem in cloud computing systems. It deals with the efficient allocation of a set of virtual machine requests from customers into the available pre-booked resources the broker has in a number of cloud providers, maximizing the broker profit. Eight list scheduling heuristics are proposed to solve the problem, by taking into account different criteria for mapping request to available virtual machines. The experimental evaluation analyzes the profit, makespan, and flowtime results of the proposed methods over a set of 400 problem instances that account for realistic workloads and scenarios using real data from cloud providers. [less ▲]

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See detailA Parallel Multi-objective Local Search for AEDB Protocol Tuning
Iturriaga, Santiago; Ruiz, Patricia UL; Nesmachnow, Sergio et al

in IEEE International Parallel and Distributed Processing Simposium (2013)

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See detailA Multithreading Local Search For Multiobjective Energy-Aware Scheduling In Heterogeneous Computing Systems
Iturriaga, Santiago; Nesmachnow, Sergio; Dorronsoro, Bernabé UL

in European Conference on Modelling and Simulation (ECMS) (2012)

This article introduces an efficient multithreading local search algorithm for solving the multiobjective scheduling problem in heterogeneous computing systems considering the makespan and energy ... [more ▼]

This article introduces an efficient multithreading local search algorithm for solving the multiobjective scheduling problem in heterogeneous computing systems considering the makespan and energy consumption objectives. The proposed method follows a fully multiobjective approach using a Pareto-based dominance search executed in parallel. The experimental analysis demonstrates that the new multithreading algorithm outperforms a set of deterministic heuristics based on Min-Min. The new method is able to achieve significant improvements in both objectives in reduced execution times for a broad set of testbed instances. [less ▲]

Detailed reference viewed: 42 (0 UL)