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Full-Text Articles in Physical Sciences and Mathematics
A Dynamic Run-Profile Energy-Aware Approach For Scheduling Computationally Intensive Bioinformatics Applications, Sachin Pawaskar, Hesham Ali
A Dynamic Run-Profile Energy-Aware Approach For Scheduling Computationally Intensive Bioinformatics Applications, Sachin Pawaskar, Hesham Ali
Computer Science Faculty Proceedings & Presentations
High Performance Computing (HPC) resources are housed in large datacenters, which consume exorbitant amounts of energy and are quickly demanding attention from businesses as they result in high operating costs. On the other hand HPC environments have been very useful to researchers in many emerging areas in life sciences such as Bioinformatics and Medical Informatics. In an earlier work, we introduced a dynamic model for energy aware scheduling (EAS) in a HPC environment; the model is domain agnostic and incorporates both the deadline parameter as well as energy parameters for computationally intensive applications. Our proposed EAS model incorporates 2-phases. In …
Energy Awareness And Scheduling In Mobile Devices And High End Computing, Sachin S. Pawaskaw
Energy Awareness And Scheduling In Mobile Devices And High End Computing, Sachin S. Pawaskaw
Student Work
In the context of the big picture as energy demands rise due to growing economies and growing populations, there will be greater emphasis on sustainable supply, conservation, and efficient usage of this vital resource. Even at a smaller level, the need for minimizing energy consumption continues to be compelling in embedded, mobile, and server systems such as handheld devices, robots, spaceships, laptops, cluster servers, sensors, etc. This is due to the direct impact of constrained energy sources such as battery size and weight, as well as cooling expenses in cluster-based systems to reduce heat dissipation. Energy management therefore plays a …
A Genetic Algorithm For Multiobjective Hard Scheduling Optimization, Elías Niño, Carlos Ardila, Alfredo J. Perez, Yexid Donoso
A Genetic Algorithm For Multiobjective Hard Scheduling Optimization, Elías Niño, Carlos Ardila, Alfredo J. Perez, Yexid Donoso
Computer Science Faculty Publications
This paper proposes a genetic algorithm for multiobjective scheduling optimization based in the object oriented design with constrains on delivery times, process precedence and resource availability. Initially, the programming algorithm (PA) was designed and implemented, taking into account all constraints mentioned. This algorithm’s main objective is, given a sequence of production orders, products and processes, calculate its total programming cost and time.
Once the programming algorithm was defined, the genetic algorithm (GA) was developed for minimizing two objectives: delivery times and total programming cost. The stages defined for this algorithm were: selection, crossover and mutation. During the first stage, the …
A Dynamic Energy-Aware Model For Scheduling Computationally Intensive Bioinformatics Applications, Sachin Pawaskar, Hesham Ali
A Dynamic Energy-Aware Model For Scheduling Computationally Intensive Bioinformatics Applications, Sachin Pawaskar, Hesham Ali
Computer Science Faculty Proceedings & Presentations
High Performance Computing (HPC) resources are housed in large datacenters, which consume huge amounts of energy and are quickly demanding attention from businesses as they result in high operating costs. On the other hand HPC environments have been very useful to researchers in many emerging areas in life sciences such as Bioinformatics and Medical Informatics. In this paper, we provide a dynamic model for energy aware scheduling (EAS) in a HPC environment; we use a widely used bioinformatics tool named BLAT (BLAST-like alignment tool) running in a HPC environment as our case study. Our proposed EAS model incorporates 2-Phases: an …
Dynamic Energy Aware Task Scheduling For Periodic Tasks Using Expected Execution Time Feedback, Sachin Pawaskar, Hesham Ali
Dynamic Energy Aware Task Scheduling For Periodic Tasks Using Expected Execution Time Feedback, Sachin Pawaskar, Hesham Ali
Computer Science Faculty Proceedings & Presentations
Scheduling dependent tasks is one of the most challenging problems in parallel and distributed systems. It is known to be computationally intractable in its general form as well as several restricted cases. An interesting application of scheduling is in the area of energy awareness for mobile battery operated devices where minimizing the energy utilized is the most important scheduling policy consideration. A number of heuristics have been developed for this consideration. In this paper, we study the scheduling problem for a particular battery model. In the proposed work, we show how to enhance a well know approach of accounting for …
Dynamic Energy Aware Task Scheduling Using Run-Queue Peek, Sachin Pawaskar, Hesham Ali
Dynamic Energy Aware Task Scheduling Using Run-Queue Peek, Sachin Pawaskar, Hesham Ali
Computer Science Faculty Proceedings & Presentations
Scheduling dependent tasks is one of the most challenging problems in parallel and distributed systems. It is known to be computationally intractable in its general form as well as several restricted cases. An interesting application of scheduling is in the area of energy awareness for mobile battery operated devices where minimizing the energy utilized is the most important scheduling policy consideration. A number of heuristics have been developed for this consideration. In this paper, we study the scheduling problem for a particular battery model. In the proposed work, we show how to enhance a well know approach of accounting for …