Metadata-Based Information Management Framework for Grids

2011 ◽  
pp. 147-166
Author(s):  
Wie Jie ◽  
Tianyi Zang ◽  
Terence Hung ◽  
Stephen Turner ◽  
Wentong Cai
Keyword(s):  
Performance Evaluation ◽  
Information Management ◽  
Hierarchical Structure ◽  
Virtual Organization ◽  
Information Service ◽  
Experimental Results ◽  
Data Organization ◽  
Organization Model ◽  
Management Framework ◽  
Cross Domain

Information service is a key component of a Grid environment and crucial to the operation of Grids. This chapter presents an information management framework for a Grid virtual organization (VO). This information management framework is a hierarchical structure which consists of VO layer, site layer and resource layer. We propose different models of information data organization for information management in Grids and simulation experiments were conducted to evaluate the performance of these models. Based on the experimental results, we further introduce the data organization model for our information management framework. A performance evaluation conducted on a cross-domain Grid testbed indicates that our information management framework presents good scalability with large number of concurrent users and large amount of information aggregated. In this chapter some application experiences of using the information management framework are also presented.

The high enrichment of Geobacter by TiN nanoarray anode catalyst for efficient microbial fuel cells

2021 ◽  
Vol 9 (12) ◽  
pp. 7726-7735
Author(s):  
Da Liu ◽  
Weicheng Huang ◽  
Qinghuan Chang ◽  
Lu Zhang ◽  
Ruiwen Wang ◽  
...  
Keyword(s):  
Fuel Cells ◽  
Hierarchical Structure ◽  
Microbial Fuel Cells ◽  
Dft Calculation ◽  
Experimental Results ◽  
Carbon Cloth ◽  
Anode Catalyst ◽  
High Enrichment

TiN nanoarrays, in situ grown on carbon cloth gather 97.2% of the model exoelectrogen Geobacter, greatly enhancing the MFCs' performance. The experimental results and DFT calculation certify the importance of the micro–nano-hierarchical structure.

scholarly journals A Dockers Storage Performance Evaluation: Impact of Backing File Systems

2021 ◽  
pp. 8-17
Author(s):  
Amer Ramadan ◽  
Keyword(s):  
Performance Evaluation ◽  
Experimental Design ◽  
File Systems ◽  
Experimental Results ◽  
File Server ◽  
Storage Performance ◽  
File Access ◽  
Mail Server ◽  
The Impact ◽  
E Mail

This paper reports on an in-depth examination of the impact of the backing filesystems to Docker performance in the context of Linux container-based virtualization. The experimental design was a 3x3x4 arrangement, i.e., we considered three different numbers of Docker containers, three filesystems (Ext4, XFS and Btrfs), and four application workloads related to Web server I/O activity, e-mail server I/O activity, file server I/O activity and random file access I/O activity, respectively. The experimental results indicate that Ext4 is the most optimal filesystem, among the considered filesystems, for the considered experimental settings. In addition, the XFS filesystem is not suitable for workloads that are dominated by synchronous random write components (e.g., characteristical for mail workload), while the Btrfs filesystem is not suitable for workloads dominated by random write and sequential write components (e.g., file server workload).

scholarly journals A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification

2018 ◽  
Author(s):  
Shuming Ma ◽  
Xu Sun ◽  
Junyang Lin ◽  
Xuancheng Ren
Keyword(s):  
Hierarchical Structure ◽  
Online Reviews ◽  
Text Summarization ◽  
Sentiment Classification ◽  
Experimental Results ◽  
Joint Learning ◽  
End To End ◽  
Abstractive Summarization ◽  
Main Ideas ◽  
Different Levels

Text summarization and sentiment classification both aim to capture the main ideas of the text but at different levels. Text summarization is to describe the text within a few sentences, while sentiment classification can be regarded as a special type of summarization which ``summarizes'' the text into a even more abstract fashion, i.e., a sentiment class. Based on this idea, we propose a hierarchical end-to-end model for joint learning of text summarization and sentiment classification, where the sentiment classification label is treated as the further ``summarization'' of the text summarization output. Hence, the sentiment classification layer is put upon the text summarization layer, and a hierarchical structure is derived. Experimental results on Amazon online reviews datasets show that our model achieves better performance than the strong baseline systems on both abstractive summarization and sentiment classification.

Usage of TB in Practice

2018 ◽  
pp. 149-165
Keyword(s):  
Knowledge Management ◽  
Communities Of Practice ◽  
Open Source ◽  
Information Management ◽  
Information Technologies ◽  
Business Administration ◽  
Management Framework ◽  
Time Bank ◽  
Open Source Communities ◽  
Generic Time

This chapter compares the universal TB model with the previous TB interpretation discussed in the first half of the book. Special attention is devoted to 19 selected TB properties ranging from adaptability to universality. Furthermore, tangible results follow in form of potential implications to business administration. Namely, information and knowledge management and information technologies are considered. In the area of information management, a generic time bank information management framework is outlined. In the scope of knowledge management, the function of TB is compared with the phenomenon known as communities of practice. Finally, co-productive behavior of the TB related to open source communities are depicted in the area of information technologies.

Fabrication and performance evaluation of two multi-layer passive micromixers

Sensor Review ◽  
2018 ◽  
Vol 38 (3) ◽  
pp. 321-325 ◽  
Author(s):  
Xueye Chen ◽  
Jienan Shen ◽  
Zengliang Hu
Keyword(s):  
Reynolds Number ◽  
Performance Evaluation ◽  
Design Methodology ◽  
Experimental Results ◽  
Microfluidic Chips ◽  
Mixing Index ◽  
Number Range ◽  
Content Type ◽  
Chaotic Convection ◽  
And Performance

PurposeThe purpose of this study is to provide a micromixer for achieving effective mixing of two liquids. The mixing of two liquids is difficult to achieve in microfluidic chips because they cannot form turbulence at small dimensions and velocities.Design/methodology/approachIn this paper, four kinds of passive micromixers based on splitting–recombination and chaotic convection are compared. First, a better E-shape mixing unit based on the previous F-shape mixing unit has been designed. Then, the E-shape mixing units are further combined to form three micromixers (i.e. E-mixer, SESM and FESM).FindingsFinally, the mixing experimental results show that the mixing indexes of E-mixer, SESM and FESM are more than those of F-mixer when the Reynolds number range is from 0.5 to 100. And at Re = 15, the lowest mixing index of E-mixer is 71%, which is the highest of the four micromixers.Originality/valueAt Re = 80, the highest mixing index of F-mixer and E-mixer is 92 and 94 per cent, respectively, and then it begins to decrease. But the mixing index of SESM and FESM remains close to 100 per cent.

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