While in the past scheduling algorithms were almost exclusively targeted at optimizing applications' make span, today they must simultaneously optimise several goals. Among these goals, energy efficiency is receiving increasing attention for environmental and financial reasons. In contrast to related work that optimises energy consumption as a single objective function, we reformulate in this paper the problem as a bi-objective optimisation by considering both make span and energy as goals. We study the potential benefits of using a Pareto-based workflow scheduling algorithm called MOHEFT using realistic energy consumption and performance models for task executions. We analyse the tradeoff solutions computed by MOHET for different workflows...
Thesis (Master's)--University of Washington, 2015The increasing need of large-scale data centers has...
is a power management technique used to decrease the pro-cessor frequency and minimize power consump...
Abstract—Large computational problems may often be mod-elled using multiple scientific workflows wit...
Workflow applications are a popular paradigm used by scientists for modelling applications to be run...
Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014...
In scheduling, multi-objective approaches are thoroughly investigated when considering business obje...
We address the problem of scheduling workflow applications on heterogeneous computing systems like c...
Nowadays, scientists and companies are confronted with multiple competing goals such as makespan in ...
Scientific workflows decompose complex scientific applications into smaller subsequent interdependen...
Distributed computing, such as cloud computing, provides promising platforms to execute multiple wor...
Providing resources and services from multiple clouds is becoming an increasingly promising paradigm...
AbstractThis paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the res...
This paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the resource ef...
Nowadays most industries do not integrate product, process and energy data. Costs due to energy cons...
AbstractSustainability considerations in manufacturing scheduling, which is traditionally influenced...
Thesis (Master's)--University of Washington, 2015The increasing need of large-scale data centers has...
is a power management technique used to decrease the pro-cessor frequency and minimize power consump...
Abstract—Large computational problems may often be mod-elled using multiple scientific workflows wit...
Workflow applications are a popular paradigm used by scientists for modelling applications to be run...
Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014...
In scheduling, multi-objective approaches are thoroughly investigated when considering business obje...
We address the problem of scheduling workflow applications on heterogeneous computing systems like c...
Nowadays, scientists and companies are confronted with multiple competing goals such as makespan in ...
Scientific workflows decompose complex scientific applications into smaller subsequent interdependen...
Distributed computing, such as cloud computing, provides promising platforms to execute multiple wor...
Providing resources and services from multiple clouds is becoming an increasingly promising paradigm...
AbstractThis paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the res...
This paper presents the Maximum Effective Reduction (MER) algorithm, which optimizes the resource ef...
Nowadays most industries do not integrate product, process and energy data. Costs due to energy cons...
AbstractSustainability considerations in manufacturing scheduling, which is traditionally influenced...
Thesis (Master's)--University of Washington, 2015The increasing need of large-scale data centers has...
is a power management technique used to decrease the pro-cessor frequency and minimize power consump...
Abstract—Large computational problems may often be mod-elled using multiple scientific workflows wit...