In this paper, we propose a static scheduling algorithm forassigning tasks with precedence constraints onto a cluster of heterogeneoussensor nodes connected by a single-hop wireless network so as tomaximize the lifeti...
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ISBN:
(纸本)9783540898931
In this paper, we propose a static scheduling algorithm forassigning tasks with precedence constraints onto a cluster of heterogeneoussensor nodes connected by a single-hop wireless network so as tomaximize the lifetime of the sensor network. The processing element oneach sensor node is equipped with dynamic voltage scaling capability. Inour algorithm, we assign the tasks to the sensor nodes so as to minimizethe energy consumption of the tasks on each sensor node while keepingthe energy consumption as balanced as possible. We also propose an algorithmto generate a second schedule that can improve the lifetime ofthe network further when it is used together with the original *** observe up to 311% lifetime improvement in our simulations whenour algorithms are compared to the baseline case where dynamic voltagescaling is not used.
In designing energy-aware CPU scheduling algorithms for real-time embedded systems, dynamic slack reclamation techniques significantly improve system quality-of-service (QoS) and energy efficiency. However, the limite...
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ISBN:
(纸本)9781424419210
In designing energy-aware CPU scheduling algorithms for real-time embedded systems, dynamic slack reclamation techniques significantly improve system quality-of-service (QoS) and energy efficiency. However, the limited schemes in this domain either demand high complexity or can only achieve limited QoS. In this paper, we present a novel low complexity runtime scheduling algorithm for the imprecise computation (IC) modeled tasks. The target is to maximize system QoS under energy constraints. Our proposed algorithm, named gradient curve shifting (GCS), is able to decide the best allocation of slack cycles arising at runtime, with very low complexity. We study both linear and concave QoS functions associated with IC modelde tasks, on non-DVS and DVS processors. Furthermore, we apply the intra-task DVS technique to tasks and achieve as large as 18% more of the system QoS compared to the conventional "optimal" solution which is inter-task DVS based.
In this paper we describe a distributed, GPS-free localization algorithm called BGFL (Backbone -based GPS-free localization), which does not rely on any absolute position reference such as GPS or fixed anchor nodes. I...
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In this paper we describe a distributed, GPS-free localization algorithm called BGFL (Backbone -based GPS-free localization), which does not rely on any absolute position reference such as GPS or fixed anchor nodes. Instead, the algorithm only depends on the distances between the nodes and their neighbors. It is backbone based, in which some nodes in the network are first selected then formed into a backbone network, where every node on the backbone builds a LCS (Local coordinate system). Finally, all LCSs are merged into a global relative coordinate system. We simulate the performance of the algorithms under a variety of node densities, distance estimation errors and moving speeds. The results show that our algorithm outperforms the existing GPS-free localization algorithms in terms of accuracy, communication cost, convergence time, probability to build a global coordinate system and adaptability to the mobile environment.
Nowadays, blog has been playing a more and more important role in human life as the internet evolves dramatically. Academia has seen an research burst on blog since 2002, not only in the area of computer science like ...
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Nowadays, blog has been playing a more and more important role in human life as the internet evolves dramatically. Academia has seen an research burst on blog since 2002, not only in the area of computer science like IR and web mining, but also in the area of social sciences. We present a blog-centered framework here to abstract and generalize current researches on blog mining, with the intention of providing a clear image on blog-focused research area.
Bloom Filter is a simple space-efficient randomized data structure for representing a set in order to support membership queries, which uses an m-bit array to represent a data set. In order to support representing dyn...
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In distributed multimedia storage systems where client requests for different multimedia objects may have different demands, placement and replication of the objects is an important factor, as it may result in an imba...
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The link interference and multi-hop characters make Wireless Mesh Network (WMN) performance can not be tuned well by local information. We propose an analytical flow control scheme (AFCS) based on the optimal bandwidt...
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ISBN:
(纸本)9781595938190
The link interference and multi-hop characters make Wireless Mesh Network (WMN) performance can not be tuned well by local information. We propose an analytical flow control scheme (AFCS) based on the optimal bandwidth allocation model that is specifically designed for the unique characteristics of WMN. The original contribution incorporated in a flow contention model of WMN based on maximal link interference region. With the contention constraint, the optimality of bandwidth allocation can be achieved by maximizing the aggregated utility across all flows. We then deduce a practical equation for adjusting sending rate from the bandwidth allocation model. Based on the simplified analytical equation and the congestion notification message mechanism, we propose an equation-based flow control framework for real-time traffic in WMN. Simulation results have shown the AFCS can improve the capacity of the WMN by 40% and alleviate the unfairness and delay jitter greatly. The fast response, fairness and steadiness characters of the AFCS are helpful for rigorous real-time traffic and dynamic wireless network. Copyright 2007 ACM.
Today's wireless sensor networks (WSN) focus on energy-efficiency as the main metric to optimize. However, an increasing number of scenarios where sensor networks are considered for time-critical purposes in appli...
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Today's wireless sensor networks (WSN) focus on energy-efficiency as the main metric to optimize. However, an increasing number of scenarios where sensor networks are considered for time-critical purposes in application scenarios like intrusion detection, industrial monitoring, or health care systems demands for an explicit support of performance guarantees in WSNs and, thus, in turn for a respective mathematical framework. In (J. Schmitt and U. Roedig, 2005) , a sensor network calculus was introduced in order to accommodate a worst-case analysis of WSNs. This sensor network calculus focused on the communication aspect in WSNs, but had not yet a possibility to treat in-network processing in WSNs. In this work, we now incorporate in-network processing features as they are typical for WSNs by taking into account computational resources on the sensor nodes. Furthermore, we propose a simple, yet effective priority queue management discipline which achieves a good balance of response times across sensor nodes in the field.
In this paper we present a novel load distribution strategy for scheduling divisible loads on linear networks, when the speeds of the computing nodes and the speeds of the communication links are unknown. This practic...
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ISBN:
(纸本)0780397460
In this paper we present a novel load distribution strategy for scheduling divisible loads on linear networks, when the speeds of the computing nodes and the speeds of the communication links are unknown. This practical assumption is captured in our problem formulation and we present a novel strategy, referred to as early start strategy (ESS), to generate a load distribution. Our strategy estimates the speed parameters and takes distinct advantage in utilizing a processor that responds earliest in the computation and including other fast processors in a progressive manner in phases to minimize the overall processing time. We analyze the strategy under several influencing parameters such as, load size, network size, and probe load size. We present simulation studies to validate all the theoretical findings and quantify the performance of our strategy
This paper details the experiments carried out at TREC 2006 Terabyte Track using Indri Search Engine. There were three tasks in the Terabyte track of TREC 2006, i.e. efficiency task, ad hoc task and named page finding...
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This paper details the experiments carried out at TREC 2006 Terabyte Track using Indri Search Engine. There were three tasks in the Terabyte track of TREC 2006, i.e. efficiency task, ad hoc task and named page finding task. We participated in two tasks, and submitted 5 runs for ad hoc task and 3 runs for named page task respectively. In ad hoc task, we looked at the importance of term proximity. In named page finding task, we cared more about the information of document structure and document prior.
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