Fairshare scheduling is an established technique to provide user-level differentiation in management of capacity consumption in high-performance and grid computing scheduler systems. In this paper we extend on a state...
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Fairshare scheduling is an established technique to provide user-level differentiation in management of capacity consumption in high-performance and grid computing scheduler systems. In this paper we extend on a state-of-the-art approach to decentralized grid fairs hare and propose a generalized model for construction of decentralized prioritization-based management systems. the approach is based on (re)formulation of control problems as prioritization problems, and a proposed framework for computationally efficient decentralized priority calculation. the model is presented along with a discussion of application of decentralized management systems in distributedcomputing environments that outlines selected use cases and illustrates key trade-off behaviors of the proposed model.
this paper proposes a distributed real-time detection algorithm for detecting rupture events in water pipelines noninvasively. the purpose is to suppress not only unnecessary transmission but also local processing in ...
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ISBN:
(纸本)9781467321648
this paper proposes a distributed real-time detection algorithm for detecting rupture events in water pipelines noninvasively. the purpose is to suppress not only unnecessary transmission but also local processing in order to save power without sacrificing sensitivity or specificity of the events of interest. All these goals are accomplished by adaptive thresholding, a cascaded wake-up chain, local processing, and aggressive power management. Experimental results show that the proposed algorithm achieves high sensitivity and high specificity while reducing the total energy consumption significantly.
Technological advances in the smartphone sector give rise to people-centric sensing that uses the sensing capabilities of mobile devices and the movement of their human carriers to satisfy the ever increasing demand f...
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there are many ways to determine the boundary of an event based on Satellite imaging which does not provide accurate information. In many situations, there may not be enough time to monitor the effect of emergency and...
there are many ways to determine the boundary of an event based on Satellite imaging which does not provide accurate information. In many situations, there may not be enough time to monitor the effect of emergency and the affected area. Moreover, the event region could continuously change in the geographical region and a robust deployment of sensors is desirable that could capture maximum information about the entire event as soon as possible and continue capturing information without a break. these events are not physically accessible and most of the sensor deployments are static to check if they can fully cover an event. We explore these issues in this work and look at dynamic sensor network deployment strategies.
Nowadays, accurate and low-cost autonomous maritime surveillance of camera sensor network is a critical requirement for various applications. In a maritime environment, camera sensors are deployed on mobile platforms,...
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Nowadays, accurate and low-cost autonomous maritime surveillance of camera sensor network is a critical requirement for various applications. In a maritime environment, camera sensors are deployed on mobile platforms, such as buoys. With an anchored buoy architecture, sensor locations are quasi-stationary. When sensors move, some areas may not be covered at some times. this paper analyzes the extend of the uncovered area in a realistic maritime environment. We present numerical results to variation in uncovered areas from time to time. Also in this paper, the simulation of the uncovered area detection of camera sensor network (CSN) used in maritime surveillance is presented using MATLAB.
Constant monitoring of patients without disturbing their daily activities can be achieved through mobile networks. sensor nodes distributed in a home environment to provide home assistance gives concept of Wireless We...
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ISBN:
(纸本)9781467321648
Constant monitoring of patients without disturbing their daily activities can be achieved through mobile networks. sensor nodes distributed in a home environment to provide home assistance gives concept of Wireless Wearable Body Area Networks. Gathering useful information and its transmission to the required destination may face several problems. In this paper we figure out different issues and discuss their possible solutions in order to obtain an optimized infrastructure for the care of elderly people. Different channel models along withtheir characteristics, noise filtering in different equalization techniques, energy consumption and effect of different impairments have been discussed in our paper. the novelty of this work is that we highlighted multiple issues along withtheir possible solutions that a BAN infrastructure is still facing.
Network connectivity is a critical property that provides communication foundation for most wireless sensor network (WSN) applications to operate successfully. Existing results on the WSN connectivity analysis are pri...
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Network connectivity is a critical property that provides communication foundation for most wireless sensor network (WSN) applications to operate successfully. Existing results on the WSN connectivity analysis are primarily based on a uniform distribution of sensors in a bounded field of interest. However, the sensor distribution can be non-uniform in practice due to diverse deployment strategies, deployment deviations and geographical limitations. We thus investigate the network connectivity of a random WSN following a Gaussian distribution in that it can simulate various nonuniform sensor distributions. Specifically, we examine the impact of sensor distribution on the network connectivity in term of full connectivity, partial θ(θ
this paper presents an innovative architecture for the instrumentation layer of a pervasive large-scale information system. State of the art examples already include an instrumentation layer in a grid infrastructure; ...
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this paper presents an innovative architecture for the instrumentation layer of a pervasive large-scale information system. State of the art examples already include an instrumentation layer in a grid infrastructure; nontheless these systems were not designed for large-scale ad-hoc networks, rapidly deployed, continuously upgraded, and dynamically reconfigured when the system is on-line. the main contribution is that of designing an instrumentation layer coherent with existing infrastructures capable of being federated with others, and already providing robust virtualization services in what concerns user authentication and access, distributed storage, and computing power. the large-scale instrumentation layer is inspired by the Internet of things, and will consist of a large number of autonomous nodes organized in Wireless sensor Networks and accessing the Internet following the 6LoWPAN specifications. An early implementation of this architecture is proven to respond to use cases centered on data- and event-driven services; it also permits a large degree of flexibility and adaptiveness in end nodes applications.
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