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Towards Realizable, Low-Cost Broadcast Systems for Dynamic Environments

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A main design issue in a wireless data broadcasting system is to choose between push-based and pull-based logic: The former is used as a low-cost solution, while the latter is preferred when performance is of utmost importance. Therefore, the most significant advantage of a push system is the minimal cost. This fact implies that hardware […]

Integrating Visual Saliency and Consistency for Re-Ranking Image Search Results

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In this paper, we propose a new algorithm for image re-ranking in web image search applications. The proposed method focuses on investigating the following two mechanisms: 1) Visual consistency. In most web image search cases, the images that closely related to the search query are visually similar. These visually consistent images which occur most frequently […]

Weather data sharing system: an agent-based distributed data management

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Severe weather causes human disasters. The most useful way to decrease a national disaster is by building more atmospheric sensing equipments to monitor the climate change. The data produced by these sensing equipments are of a huge amount and play an important role for weather prediction. Moreover, new sensing equipments enrich weather data. Everyday terabyte […]

An improved ant algorithm for grid scheduling problem using biased initial ants

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The efficient scheduling of independent computational jobs in a heterogeneous computing (HC) environment is an important problem in domains such as grid computing. Finding optimal schedules for such an environment is (in general) an NP-hard problem, and so heuristic approaches must be used. The goal of grid task scheduling is to achieve high system throughput […]

SOAP Processing Performance and Enhancement

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Web Services (WS) provide a comprehensive solution for representing, discovering and invoking services in a variety of environments, including SOA (Service Oriented Architectures) and grid computing systems. At the core of WS lie a number of XML-based standards, such as SOAP, that have ensured WS extensibility, transparency, and interoperability. Nonetheless, there is an increasing demand […]

Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing

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Cloud Computing has been envisioned as the next-generation architecture of IT Enterprise. It moves the application software and databases to the centralized large data centers, where the management of the data and services may not be fully trustworthy. This unique paradigm brings about many new security challenges, which have not been well understood. This work […]

Multicloud Deployment of Computing Clusters for Loosely Coupled MTC Applications

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Cloud computing is gaining acceptance in many IT organizations, as an elastic, flexible, and variable-cost way to deploy their service platforms using outsourced resources. Unlike traditional utilities where a single provider scheme is a common practice, the ubiquitous access to cloud resources easily enables the simultaneous use of different clouds. In this paper, we explore […]

Adaptive grid risk-sensitive filter for non-linear problems

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A novel adaptive grid-based method has been proposed for risk-sensitive state estimation in non-linear non-Gaussian problems. The algorithm, which is based on point-mass approximation, is called the adaptive grid risk-sensitive filter (AGRSF). Although risk-sensitive estimators have been known to be robust compared to their risk-neutral counterparts, the implementation of risk-sensitive filters (RSFs) is almost impossible […]

Efficient Consistency Measurement Based on Behavioral Profiles of Process Models

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Engineering of process-driven business applications can be supported by process modeling efforts in order to bridge the gap between business requirements and system specifications. However, diverging purposes of business process modeling initiatives have led to significant problems in aligning related models at different abstract levels and different perspectives. Checking the consistency of such corresponding models […]

Genetic Algorithms for Randomized Unit Testing

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Randomized testing is an effective method for testing software units. The thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such as the relative frequencies with which methods are called. In this paper, we describe Nighthawk, a system which uses a genetic algorithm (GA) to find parameters for randomized unit […]