Author
Shameela Shaikh
Bio: Shameela Shaikh is an academic researcher. The author has contributed to research in topics: Distributed algorithm & Global information system. The author has an hindex of 1, co-authored 1 publications receiving 2 citations.
Papers
More filters
TL;DR: This paper provides algorithms to green compute by calculating a threshold and sending systems to power saving modes if the processor is idle and in order to minimize energy consumption by processor allocation.
Abstract: In Distributed Computing approach, it is followed to assign a job to a processor if it is idle. The focus is now on how to optimize resources to decrease the energy consumption by volumes of computing equipments to deal with green and sustainability issues. So that to save environment from Global Warming and utilizing the resources efficiently. This process is twofold One hand providing green and power efficient algorithms and on the other supporting companies green investments. In order to minimize energy consumption by processor allocation we are providing some algorithms to generalize distributed computing. In this paper we provide algorithms to green compute by calculating a threshold and sending systems to power saving modes if the processor is idle.
2 citations
Cited by
More filters
25 Feb 2011
TL;DR: An algorithm has been developed that will calculate the processor utilization by different machines according to the Load Distribution in a network and propose a strategy to utilize minimum possible energy by optimal resource utilization.
Abstract: This paper is focused on calculating the processor utilization of various machines having different types of processor configurations employed in data centers by providing solutions to reduce the energy cost component of companies total IT budget. In this paper different parameters like CPU Utilization and Power Utilization on different machines installed in data centers have been analyzed. Also calculation of power required by different machines of different configurations in different modes of operations like active mode, hibernation mode and standby mode is been performed. Here an algorithm has been developed that will calculate the processor utilization by different machines according to the Load Distribution in a network and propose a strategy to utilize minimum possible energy by optimal resource utilization.
5 citations
01 Jan 2011
TL;DR: A concept in the model which creates slave objects dynamically to fulfill the master/slave parallel computing pattern ensures easy distribution of the software components, files and resources along the participating computers.
Abstract: Data conversion is one of the major task in computerization and the data mining process. Thousands of private and the governmental organizations are trying to convert the entire paper document to soft documents. In another example many old format wave files need to be keep safe in very low space and there are thousands of historical wave file need to be convert in to lower size file format. Considering such conditions there is a need to employee the system which will transfer processing over the network system and save output on the server or main system, we are proposing a parallel computing model for the distributed computing platforms. This model ensures easy distribution of the software components, files and resources along the participating computers. We are using a concept in the model which creates slave objects dynamically to fulfill the master/slave parallel computing pattern. When compared with the other similar models results show that our model is not only a feasible model for distributed environment but also an efficient approach of data conversion in distributed parallel computing environment.