异构计算环境中基于移动代理的负载监控

由于个人机和工作站良好的性价比以及网络速度的加快,利用机群系统进行高性能计算成为一个热点。在这种异构计算环境中,了解负载信息的变化对于实现负载平衡是必不可少的。该文提出了基于移动代理进行负载监控,为实现异构计算环境中分布并行应用的负载平衡提供了重要信息。这种模式具有良好的移植性、可扩展性、灵活性。     

ARTE: An Application-specific Run-Time managEment framework for multi-cores based on queuing models

This paper presents an Application-specific Run-Time managEment (ARTE) framework to tackle the problem of managing computational resources in an application specific multi-core system. The ARTE framework run-time goal is to minimize applications’ response times while meeting the applications’ computational demands and fitting within the available power budget.     

Exploiting user metadata for energy-aware node allocation in a cloud storage system

Cloud computing has gained popularity in recent years delivering various services as cost-effective platforms. However, the increasing energy consumption needs to be addressed in order to preserve the cost-effectiveness of these systems. In this work, we target the storage infrastructure in a cloud system and introduce several energy efficient storage node allocation methods by exploiting the metadata heterogeneity of cloud users. Our proposed methods preserve load balance on demand and switch inactive nodes into low-energy modes to save energy. We provide a mathematical model to estimate the outcome of proposed methods and conduct theoretical and simulative analyses using real-world workloads.     

Watershed from propagated markers: An interactive method to morphological object segmentation in image sequences

In this paper, it is introduced an interactive method to object segmentation in image sequences, by combining classical morphological segmentation with motion estimation – the watershed from propagated markers. In this method, the objects are segmented interactively in the first frame and the mask generated by its segmentation provides the markers that will be used to track and segment the object in the next frame. Besides the interactivity, the proposed method has the following important characteristics: generality, rapid response and progressive manual edition. This paper also introduces a new benchmark to do quantitative evaluation of assisted object segmentation methods applied to image sequences. The evaluation is done according to several criteria such as the robustness of segmentation and the easiness to segment the objects through the sequence.     

An integrated framework for the development of radio frequency identification technology in the logistics and supply chain management

Radio Frequency Identification (RFID) features high storage capacity, remote access, excellent data security, and multiple-tag reading. Hence, RFID technology attracts attention from various industries, especially the logistics and retail industries. Due to the swift development of technology and the trend of globalization, the logistics managers are assigned the task to integrate the supply chain via information technology such as RFID. The goal is to achieve information sharing and reduction of total cost, thus the operation efficiency can be improved and competitive advantage can be enhanced. Thus, this research would first identify the key factors of RFID technology development in the logistics and supply chain management. A complete set of five dimensions and 24 factors with a hierarchy structure is presented. The Fuzzy Delphi and Fuzzy Analytic Hierarchy Process methods are adopted for analysis. A structural procedure of RFID system establishment is also constructed based on the key dimensions and factors, with the expectation of establishing the RFID system in an effective and efficient manner. Then, based on the experience of Taiwanese government and industry, the sequence of companies for adopting the RFID technology is discussed. Thus, an integrated framework for the development of RFID technology, which includes the hierarchy of factors, structural procedure, and sequence of adoption, is presented in this research; and it can be applied in other scenarios after the users make some modifications according to their specific needs.     

An experiment on linguistic tool support for consolidation of requirements from multiple sources in market-driven product development

This paper presents an experiment with a linguistic support tool for consolidation of requirements sets. The experiment is designed based on the requirements management process at a large market-driven software development company that develops generic solutions to satisfy many different customers. New requirements and requests for information are continuously issued, which must be analyzed and responded to. The new requirements should first be consolidated with the old to avoid reanalysis of previously elicited requirements and to complement existing requirements with new information. In the presented experiment, a new open-source tool is evaluated in a laboratory setting. The tool uses linguistic engineering techniques to calculate similarities between requirements and presents a ranked list of suggested similar requirements, between which links may be assigned. It is hypothesized that the proposed technique for finding and linking similar requirements makes the consolidation more efficient. The results show that subjects that are given the support provided by the tool are significantly more efficient and more correct in consolidating two requirements sets, than are subjects that do not get the support. The results suggest that the proposed techniques may give valuable support and save time in an industrial requirements consolidation process.