This paper proposes an explicit definition of green software requirements and a tool to support their evaluation. The proposed evaluation tool describes the green efficiency by considering the energy consumption as the main aspect to be studied during the development stage. This approach consists of building a multiple regression model, by using a supervised learning algorithm, in order to reproduce the energy consumption pattern of devices at different workload circumstances. The energy consumption model is then deployed to estimate the impact of software applications based on their resource usage. Our work has been validated on desktop and mobile devices. The experiments show the effectiveness of the proposed energy profiling tool that provided relevant information on the energy consumption of software applications.
The emergence of the grid computing constituted by several resources stood out as platform of development for the industrial applications treating big quantities of data. In these environments of high- throughput computing, numerous researches were dedicated these last five years to the load balancing to make profitable the power of calculations in the grid. This paper describes the complete implementation of an algorithm of load balancing in an environment of grid computing. The implementation of the algorithm is realized on a cluster of processors in a logic of portability on grids. The number of iterations proving the convergence of the algorithm, vectors of the loads of calculations and the matrix of distribution are well clarified
Abstract-One of the main problems in wireless sensor networks is information collection. How the sensor nodes can send efficiently the sensed information to the sink since their number is very large and their resources are limited? Clustering provides a logical view, much more effective than the physical view, which extends the lifetime of the network and achieves the scalability objective. Although the assumption that all sensor nodes can communicate directly with each other or with the sink is not always valid because of the limited transmission range of the sensor nodes and the remoteness of the sink. In this paper, we introduce a cluster-based communication protocol that uses a multi-hop communication mode between the cluster-heads. The protocol aims to reduce and evenly distribute the energy consumption among the sensor nodes, and cover a large area of interest. The simulations show that the proposed protocol is efficient in terms of energy consumption, maximization of the network lifetime, data delivery to the sink and scalability.
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