scholarly journals MULTIPLE VIEWS IN PEER DATA MANAGEMENT FOR E-COMMERCE APPLICATIONS

2014 ◽  
pp. 56-65
Author(s):  
M. B. Al-Mourad ◽  
Rozalina Mohamed ◽  
Yaser M. A. Khalifa
Keyword(s):  
Small Businesses ◽  
Database Systems ◽  
Peer To Peer ◽  
Data Sources ◽  
P2p Network ◽  
Software Systems ◽  
Application Framework ◽  
Multiple Views ◽  
P2p Systems ◽  
Multiple Data

This document presents the required layout of papers to be submitted for publication in the “Computing” International journal. The abstract may not be longer than 150 words. Peer-to-peer (P2P) systems are revival paradigm for information sharing among distributed nodes in the network. A P2P network is a network that relies primarily on the computing power and bandwidth of the participants in the network rather than concentrating it in a relatively low number of servers. P2P software systems like Kazaa and Napster rank amongst the most popular software applications ever. Numerous web businesses and sites have promoted "peer to peer" technology as the future of Internet networking for E-commerce. Multiple views for data are created for mediating between data sources on the Semantic Web. Our goal is to support users’ different needs. This is due to the fact that different users have different needs for joining the P2P community and their requirements may change over time as new information become available. Hence the same information may participate in many different ways in multiple data sources’ mapping efforts. The idea of creating multiple data views has been adopted in federated database systems. However, it is not yet implemented in peer-to-peer systems. This is due to the lack of shared knowledge among peers. Moreover, it is not trivial task to create multiple data views in an unpredictable environment such as P2P. This work investigates the possibility to construct multiple data views in P2P environment. This will be achieved through the development of a tourism application framework. The described framework would benefit small businesses by participating in the P2P network without being forced to use compatible standard indexable-web data-bases provided by large corporations.

Investigating Cybercrimes that Occur on Documented P2P Networks

2011 ◽  
Vol 3 (2) ◽  
pp. 56-63
Author(s):  
Mark Scanlon ◽  
Alan Hannaway ◽  
Mohand-Tahar Kechadi
Keyword(s):  
Communication Technologies ◽  
File Sharing ◽  
Peer To Peer ◽  
P2p Network ◽  
Internet Communication ◽  
P2p Networks ◽  
P2p Systems ◽  
And Control ◽  
P2p Technology ◽  
Virus Distribution

The popularity of Peer-to-Peer (P2P) Internet communication technologies being exploited to aid cybercrime is ever increasing. P2P systems can be used or exploited to aid in the execution of a large number of online criminal activities, e.g., copyright infringement, fraud, malware and virus distribution, botnet creation, and control. P2P technology is perhaps most famous for the unauthorised distribution of copyrighted materials since the late 1990’s, with the popularity of file-sharing programs such as Napster. In 2004, P2P traffic accounted for 80% of all Internet traffic and in 2005, specifically BitTorrent traffic accounted for over 60% of the world’s P2P bandwidth usage. This paper outlines a methodology for investigating a documented P2P network, BitTorrent, using a sample investigation for reference throughout. The sample investigation outlined was conducted on the top 100 most popular BitTorrent swarms over the course of a one week period.

A Replication Algorithm Considering the Node Traffic for P2P Networks

2013 ◽  
Vol 339 ◽  
pp. 285-291
Author(s):  
Yong Qiong Zhu ◽  
Rui Min Hu
Keyword(s):  
Success Rate ◽  
Peer To Peer ◽  
P2p Network ◽  
Search Efficiency ◽  
P2p Networks ◽  
P2p Systems ◽  
Replication Method ◽  
Hit Rate ◽  
Unstructured P2p Network ◽  
Unstructured P2p

In this paper we focus on replication method in unstructured Peer-to-Peer (P2P) networks. Most current replication approaches are designed for the structured P2P systems. The EAD is specific for the unstructured P2P network, but the replica utilization is low and has the bump problem. In order to acquire more replica utilization and search efficiency, we propose a decentralized replication methodsFTR. The proposed algorithm can calculate the real query flow of node according to the order of the node selected. Experiment on the simulation proves that our method can enhance search success rate and replica hit rate.

Investigating Cybercrimes that Occur on Documented P2P Networks

2014 ◽  
pp. 109-115
Author(s):  
Mark Scanlon ◽  
Alan Hannaway ◽  
Mohand-Tahar Kechadi
Keyword(s):  
Communication Technologies ◽  
File Sharing ◽  
Peer To Peer ◽  
P2p Network ◽  
Internet Communication ◽  
P2p Networks ◽  
P2p Systems ◽  
And Control ◽  
P2p Technology ◽  
Virus Distribution

The popularity of Peer-to-Peer (P2P) Internet communication technologies being exploited to aid cybercrime is ever increasing. P2P systems can be used or exploited to aid in the execution of a large number of online criminal activities, e.g., copyright infringement, fraud, malware and virus distribution, botnet creation, and control. P2P technology is perhaps most famous for the unauthorised distribution of copyrighted materials since the late 1990’s, with the popularity of file-sharing programs such as Napster. In 2004, P2P traffic accounted for 80% of all Internet traffic and in 2005, specifically BitTorrent traffic accounted for over 60% of the world’s P2P bandwidth usage. This paper outlines a methodology for investigating a documented P2P network, BitTorrent, using a sample investigation for reference throughout. The sample investigation outlined was conducted on the top 100 most popular BitTorrent swarms over the course of a one week period.

Highly Available Fault-Tolerant Cloud Database Services

2016 ◽  
pp. 119-142
Author(s):  
Chetan Jaiswal ◽  
Vijay Kumar
Keyword(s):  
Operating System ◽  
Concurrency Control ◽  
Virtual Machines ◽  
Fault Tolerant ◽  
Database Systems ◽  
Database System ◽  
Data Sources ◽  
Multiple Data ◽  
Cloud Database ◽  
Execution Platform

Legacy database systems manage transactions under a concurrency control and a recovery protocol. The underlying operating system creates transaction execution platform and the database executes transactions concurrently. When the database system fails then the recovery manager applies “Undo” and/or “Redo” operations (depending upon the recovery protocol) to achieve the consistent state of the database. The recovery manager performs these set of operations as required by transaction execution platform. The availability of “Virtual” machines on cloud has given us an architecture that makes it possible to eliminate the effect of system or transaction failure by always taking the database to the next consistent state. We present a novel scheme of eliminating the effect of such failure by applying transaction “roll-forward” which resumes its execution from the point of failure. We refer to our system as AAP (Always Ahead Processing). Our work enables cloud providers to offer transactional HA-DBMS as an option that too with multiple data sources not necessarily relational.

Peer-to-Peer (P2P) Network Security

2008 ◽  
pp. 95-103
Author(s):  
Lu Yan
Keyword(s):  
Network Security ◽  
Object Oriented ◽  
Peer To Peer ◽  
P2p Network ◽  
P2p Systems ◽  
Action Systems ◽  
P2p System ◽  
Systems Framework

A lot of networks today are behind firewalls. In peer-to-peer (P2P) networking, firewall-protected peers may have to communicate with peers outside the firewall. This chapter shows how to design P2P systems to work with different kinds of firewalls within the object-oriented action systems framework by combining formal and informal methods. We present our approach via a case study of extending a Gnutella-like P2P system (Yan & Sere, 2003) to provide connectivity through firewalls.

Leveraging Heterogeneity Make Resource Location Efficient in Peer-to-Peer Networks

2011 ◽  
Vol 295-297 ◽  
pp. 1945-1950
Author(s):  
Ya Dong Gong ◽  
Yong Xiang Wen ◽  
He Ping Deng ◽  
Zhan Ran Gu
Keyword(s):  
Resource Sharing ◽  
Peer To Peer ◽  
Peer Networks ◽  
P2p Network ◽  
P2p Networks ◽  
Resource Location ◽  
Original Intent ◽  
P2p Systems ◽  
Inherent Characteristic ◽  
Peer To Peer Networks

Although the original intent of the peer-to-peer (P2P) concept is to treat each participant equally, the heterogeneity is an inherent characteristic of P2P systems. In this paper, according to the previous researches in P2P resource sharing networks, we first conclude and classify the heterogeneity in P2P networks, and then analyze each type of P2P systems that utilize heterogeneity in P2P network. The above analysis and conclusion will become a good guidance to design new resource locating algorithm which takes advantage of heterogeneity in P2P networks.

scholarly journals Challenges for the Measurement of Innovation Ecosystems and Entrepreneurial Ecosystems in Brazil

2020 ◽  
Author(s):  
Renata Lèbre La Rovere ◽  
Guilherme de Oliveira Santos ◽  
Bianca Louzada Xavier Vasconcellos
Keyword(s):  
Small Businesses ◽  
Time Lag ◽  
Point Of View ◽  
Data Sources ◽  
Theoretical Point ◽  
Entrepreneurial Ecosystems ◽  
Innovation Ecosystems ◽  
Multiple Data ◽  
Brazilian Case

Purpose: This paper aims to identify metrics and indicators of innovation ecosystems and entrepreneurial ecosystems and to discuss the limitations of these metrics in the Brazilian case. Theoretical framework: From a theoretical point of view, the paper contributes to the analysis of the differences and similarities between the concepts of innovation ecosystems and entrepreneurial ecosystems. From a methodological perspective, the paper proposes indicators and metrics and points out the limitations for measuring entrepreneurial and innovative ecosystems in Brazil. Design/methodology/approach: The study’s qualitative approach is based on a literature review, a documentary research, and data collection for the characterization of innovation ecosystems and entrepreneurial ecosystems. The paper identifies the main indicators and metrics, their data sources and the limitations of these indicators and metrics in the Brazilian case. Findings: It was observed that despite the existence of multiple data sources, the measurement of entrepreneurial ecosystems in Brazil entails constraints such as time lag of the data; voluntary filling of databases; lack of transparency at the regional level; and incomplete or skewed data. Research, Practical & Social implications: From a theoretical point of view, the paper contributes to the analysis of the differences and similarities between the concepts of innovation ecosystems and entrepreneurial ecosystems. From a methodological point of view, the study proposes indicators and metrics and points out the limitations for the measurement of entrepreneurial and innovative ecosystems in Brazil. Originality/value: When identifying limitations, the paper proposes alternatives to improve the measurement of innovation ecosystems and entrepreneurial ecosystems in the country and in its different regions. This is essential for designing and monitoring public policies to support innovation, especially those aimed to support entrepreneurs and small businesses.

scholarly journals Assessment of Data Fusion Oriented on Data Mining Approaches to Enhance Precision Agriculture Practices aimed at Increase of Durum Wheat (Triticum turgidum L. var. durum) Yield.

2018 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
A. D’Accolti ◽  
S. Maggio ◽  
A. Massaro ◽  
A.M. Galiano ◽  
V. Birardi ◽  
...  
Keyword(s):  
Data Mining ◽  
Data Fusion ◽  
Durum Wheat ◽  
Precision Agriculture ◽  
Triticum Turgidum ◽  
Data Sources ◽  
Software Systems ◽  
World Population ◽  
Multiple Data Sources ◽  
Multiple Data

In 2050, world population will reach a total of 9 billion inhabitants and their food demand have to be satisfied. Durum wheat (Triticum turgidum L. var. durum) is one of the most important food crop and its consumption is increasing worldwide. Productivity growth in agriculture and profitable returns are strongly influenced by investment in research and development, where Precision Agriculture (PA) represents an innovative way to manage farms by introducing the Information and Communication Technology (ICT) into the production process. It is known that farms activities produce large amounts of data. Today ICT allows, with electronic and software systems, to collect and transfer automatically these data, thus increasing yields and profits. In this direction significant data are processed from agricultural production, and retrieved to extract useful information important to increase the knowledge base. Data from multiple data sources can be processed by a Data Fusion (DF) approach able to combine multiple data sources into an unique database system. Raw data are transformed into useful information, thus DF improves pattern recognition, analysis of growth factors, and relationship between crops and environments. Data Fusion is synonym of Data Integration, Sensor Fusion, and Image Fusion. By means of Data Mining (DM) it is possible to extract useful information from data of the production processes thus providing new outputs concerning product quality and product “health status”. The following literature take into account the DF and DM techniques applied to Precision Agriculture (PA) and to cultivation inputs (water, nitrogen, etc.) management.  We report also last advances of DF and DM in modern agriculture and in precision durum wheat production.

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

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