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Power and performance tradeoff optimization is one of the most significant issues on heterogeneous multiprocessor or multicomputer systems (HMCSs) with dynamically variable voltage. In this paper, the problem is defined as energy-constrained performance optimization and performance-constrained energy optimization. Task scheduling for precedence-constrained parallel applications represented by a directed...
The current trend in designing power-efficient devices is concerning not only Personal Computer-like (PC) systems, but also real-time embedded systems. While a lot of research has been done on minimizing the total energy of a system, adapting the scheduling techniques for lower energy consumption has been less popular. Nevertheless, this can prove highly efficient, as the Central Processing Units...
Resource scheduling is a momentous task of determining and formulating when an activity should start or end depending on the number of tasks, the availability of the resources, time and processor speed. A cloud is an aggregation of resources or services that are provided as service through network. In earlier version of cloud computing (grid computing) it was enough to find the subset of resources...
To reduce the energy consumption in mobile devices, intricate applications are divided into several interconnected partitions like Task Interaction Graph (TIG) and are of floaded to cloud resources or nearby surrogates. Dynamic Voltage and Frequency Scaling (DVFS) is an effective technique to reduce the power consumption during mapping and scheduling stages. Most of the existing research works proposed...
Energy consumption has become the major concern in High Performance Computing (HPC) systems as far as operational cost, reliability of systems and environmental impacts are concerned. The optimization of energy consumption in HPC systems is challenging task. The frequency/voltage used for execution of a job has a key impact in overall energy consumption. In this paper, we have implemented Power Aware...
Because of its sheer size, Computational Grids (CGs) require advanced methodologies and strategies to efficiently schedule users tasks and applications to resources. Scheduling becomes even more challenging when energy efficiency, classical make span criterion and user perceived Quality of Service (QoS) are treated as first-class objectives in CG resource allocation methodologies. In this paper we...
In heterogeneous computing systems it is crucial to schedule tasks in a manner that exploits the heterogeneity of the resources and applications to optimize systems performance. Moreover, the energy efficiency in these systems is of a great interest due to different concerns such as operational costs and environmental issues associated to carbon emissions. In this paper, we present a series of original...
In modern parallel and distributed systems, inter-processor communications are a crucial factor of performance. The time for exchanging data is usually larger than that for computing elementary operations. Consequently, these communications slow down the execution of the application scheduled on the computing platform. Accounting for these communications is essential for attaining efficient hardware...
Emerging trends in applications with the requirement of considerable computational capacity and decreasing time-to-market have urged the need of multiprocessor systems. With the advent of multiprocessor systems, there is an increased demand to efficiently control their energy and power budget. As the technology scales to increasingly smaller feature sizes, the static power consumption is expected...
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