Acceleration of Data Center-Hosted Distributed Database-driven Web Applications

2003 ◽  
pp. 64-85 ◽  
Author(s):  
Wen-Syan Li ◽  
Oliver Po ◽  
Wang-Pin Hsiung ◽  
K. Selcuk Candan ◽  
Divyakant Agrawal
Keyword(s):  
Data Center ◽  
Web Applications ◽  
Distributed Database

Acceleration and Monitoring of Data Center-Hosted Distributed Database-Driven Web Applications

2004 ◽  
Vol 12 (3) ◽  
pp. 205-220
Author(s):  
Wen-Syan Li ◽  
K. Selcuk Candan ◽  
Wei-Kuang Huang
Keyword(s):  
Data Center ◽  
Web Applications ◽  
Distributed Database

Virtualization-based autonomic resource management for multi-tier Web applications in shared data center

2008 ◽  
Vol 81 (9) ◽  
pp. 1591-1608 ◽  
Author(s):  
Xiaoying Wang ◽  
Zhihui Du ◽  
Yinong Chen ◽  
Sanli Li
Keyword(s):  
Resource Management ◽  
Data Center ◽  
Web Applications ◽  
Shared Data ◽  
Autonomic Resource Management

scholarly journals A HIGHLY SCALABLE DATA MANAGEMENT SYSTEM FOR POINT CLOUD AND FULL WAVEFORM LIDAR DATA

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 507-512
Author(s):  
A. V. Vo ◽  
D. F. Laefer ◽  
M. Trifkovic ◽  
C. N. L. Hewage ◽  
M. Bertolotto ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Web Application ◽  
Point Cloud ◽  
Web Applications ◽  
Distributed Database ◽  
Data Management System ◽  
Data Repository ◽  
Lidar Data ◽  
Full Waveform

Abstract. The massive amounts of spatio-temporal information often present in LiDAR data sets make their storage, processing, and visualisation computationally demanding. There is an increasing need for systems and tools that support all the spatial and temporal components and the three-dimensional nature of these datasets for effortless retrieval and visualisation. In response to these needs, this paper presents a scalable, distributed database system that is designed explicitly for retrieving and viewing large LiDAR datasets on the web. The ultimate goal of the system is to provide rapid and convenient access to a large repository of LiDAR data hosted in a distributed computing platform. The system is composed of multiple, share-nothing nodes operating in parallel. Namely, each node is autonomous and has a dedicated set of processors and memory. The nodes communicate with each other via an interconnected network. The data management system presented in this paper is implemented based on Apache HBase, a distributed key-value datastore within the Hadoop eco-system. HBase is extended with new data encoding and indexing mechanisms to accommodate both the point cloud and the full waveform components of LiDAR data. The data can be consumed by any desktop or web application that communicates with the data repository using the HTTP protocol. The communication is enabled by a web servlet. In addition to the command line tool used for administration tasks, two web applications are presented to illustrate the types of user-facing applications that can be coupled with the data system.

Cross-Layer Optimization and Cascadability of Optical Switches in Fiber Optic Data Networks

2018 ◽  
Vol 0 (0) ◽  
Author(s):  
Ravi Kumar ◽  
Anurag Tripathi
Keyword(s):  
Data Center ◽  
Web Applications ◽  
Fiber Optic ◽  
Optical Switch ◽  
Small World ◽  
Optical Switches ◽  
Data Networks ◽  
Cross Layer ◽  
Cross Layer Optimization ◽  
Energy Consumption Analysis

AbstractIn the most recent years, developing web applications such as cloud computing, Big Data and latest cell phone applications have added more workload on the server centers. With the expansion on the network traffic, the consumption of power also increases. In past to reduce power consumption AWG based optical switch designs are proposed, and BER, energy consumption analysis has been carried out in isolated switch. In this paper, cascadability analysis of optical switches in fiber optic and data center networks is presented, and BER is calculated for isolated and cascaded switches. In fixing switch size concepts of graph theory and small world model are used. The packet loss performance is also simulated under different loading and buffering conditions. Finally, cross layer optimization concept is discussed in fixing various switch parameters.

Congestion Control in Data Center Networks: A Survey and New Perspectives

2013 ◽  
Vol 462-463 ◽  
pp. 1028-1035
Author(s):  
Hang Xing Wu ◽  
Xiao Long Yang ◽  
Min Zhang
Keyword(s):  
Congestion Control ◽  
Data Center ◽  
Data Centers ◽  
Web Applications ◽  
Control Mechanism ◽  
Control Mechanisms ◽  
Data Center Networks ◽  
Huge Amount ◽  
Advantages And Disadvantages ◽  
Congestion Control Mechanism

Nowadays data centers have been becoming increasingly important for various web applications, huge amount of cost is invested to maintain good performance of data center. Whereas some studies indicated that TCP Incast phenomenon was widely observed in most of data centers, which results in congestion in data centers and damages the performance of data center greatly. Thus some congestion control mechanisms for data center have been proposed to solve the problems. These mechanisms are categorized and described in this paper, and the advantages and disadvantages of these mechanisms are analyzed. Subsequently, some new interesting topics which may be worthy of further study in congestion control mechanism on data center are presented.

scholarly journals NRDC Data Visualization Web Suite

10.29007/rkqh ◽  
2020 ◽  
Author(s):  
Andrew Muñoz ◽  
Frederick Harris ◽  
Sergiu Dascalu
Keyword(s):  
Data Management ◽  
Data Visualization ◽  
Data Center ◽  
Web Application ◽  
Web Applications ◽  
Research Data ◽  
The State ◽  
Environmental Data ◽  
High Rate ◽  
Research Data Management

The Nevada Research Data Center (NRDC) is a research data management center that collects sensor-based data from various locations throughout the state of Nevada. The measurements collected are specifically environmental data, which are used in cross-disciplinary research across different facilities. Since data is being collected at a high rate, it is necessary to be able to visualize the data quickly and efficiently. This paper discusses in detail a web application that can be used by researchers to make visualizations that can help in data comparisons. While there exist other web applications that allows researchers to visualize the data, this project expands on that idea by allowing researchers the ability to not only visualize the data but also make comparisons and predictions.

What's in a conversation? Addressing the impact of web applications on associate-customer conversations

2003 ◽  
Author(s):  
Jennifer A. Al-Safar ◽  
Merrill J. Zavod ◽  
Ann C. Fulop
Keyword(s):  
Web Applications ◽  
The Impact

DESIGNING E-LEARNING RESOURCES FOR TEACHING MATHEMATICS IN PRIMARY SCHOOL WITH ADOBE FLASH AND HTML5 SYSTEMS

2018 ◽  
pp. 49-57
Author(s):  
N. A. Gluzman
Keyword(s):  
Primary School ◽  
Web Applications ◽  
Special Importance ◽  
Learning Resources ◽  
Multimedia Presentations ◽  
Adobe Flash ◽  
E Learning ◽  
High Level ◽  
And Training ◽  
Training Practice

In the modern educational space regarding the realities of the information society special importance is attached to issues related to the provision of a high level of informatization of education, which implies teachers’ mastering the necessary competencies and the ability to introduce e-learning resources into educational and training practice. Adobe Flash as one of the platforms for creating web applications and multimedia presentations enjoys greatest popularity with users including teachers. However, in connection with the announcement of discontinuing Adobe Flash support in 2020, the issue of choosing an analog to create web applications and presentations for use in teaching purposes is becoming particularly relevant. The article provides a comprehensive analysis of developing electronic educational resources by teachers using Adobe Flash and HTML5 for teaching math in primary school.

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