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7th International Conference on Future Internet of Things and Cloud (FiCloud)

作者： Dipietro, Salvatore Casale, Giuliano Imperial Coll London Dept Comp London England

ISBN: (纸本)9781728128887

Estimating performance models parameters of cloud systems presents several challenges due to the distributed nature of the applications, the chains of interactions of requests with architectural nodes, and the parallelism and coordination mechanisms implemented within these systems. In this work, we present a new inference algorithm for model parameters, called state divergence (SD) algorithm, to accurately estimate resource demands in a complex cloud application. Differently from existing approaches, SD attempts to minimize the divergence between observed and modeled marginal state probabilities for individual nodes within an application, therefore requiring the availability of probabilistic measures from both the system and the underpinning model. Validation against a case study using the Apache Cassandra nosql database and random experiments show that SD can accurately predict demands and improve system behavior modeling and prediction.

关键词： Service demands inference queueing cloud nosql database

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Query Optimization for Cloud database 6

Query Optimization for Cloud Database

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6th International Conference for Convergence in Technology (I2CT)

作者： Jahi, Niraja Raghu, B. Khanna, V Bharath Univ Comp Engn Dept Chennai Tamil Nadu India SVS Grp Inst Warangal Andhra Pradesh India Bharath Univ Informat Technol Dept Chennai Tamil Nadu India

ISBN: (纸本)9781728188768

The paper work is mainly focussing on query optimization of database on cloud computing environment. We are also taking care of implementation of such cloud databases on public as well as private cloud system. During the research of this topic, after going through various literatures available, we found that resource allocation on private cloud and public cloud is really a challenging one and also working on cloud databases for optimization on nosql databases through various cluster will be a new concepts of implementation and we wish to see their real-time results based on various operation.

关键词： Query optimization Cloud computing resource organization nosql database

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A Next-Generation Platform for Law Enforcement Vehicle Detection 11

A Next-Generation Platform for Law Enforcement Vehicle Detec...

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11th International Conference on Wireless Networks and Mobile Communications (WINCOM) - Inclusive and Intelligent Connectivity

作者： Moumen, Idriss Rafalia, Najat Abouchabaka, Jaafar Ibn Tofail Univ Fac Sci Dept Comp Sci Kenitra Morocco

ISBN: (纸本)9798350377873;9798350377866

This paper presents an in-depth exploration of a novel platform designed to modernize police detection of wanted vehicles, situated at the intersection of Flask, a versatile web framework, and MongoDB, a leading nosql database platform. Our objective is to streamline vehicle detection processes while investigating MongoDB's potential in AI-driven applications, particularly in law enforcement. Through thorough analysis, rigorous experimentation, and insightful observations, we expound MongoDB's role in augmenting AI capabilities, focusing on vehicle detection and surveillance. The platform integrates two AI models: YOLOv8, renowned for accurate object detection including license plates, and EasyOCR, specialized in precise text extraction from images. By detailing the methodologies and contributions of these models, we aim to inspire advancements in law enforcement through innovative technology integration. The accuracy obtained from this system reaches 98%. Our research delves into the architecture and development methodologies of the platform, highlighting the synergies between Flask and MongoDB. Additionally, we discuss the practical implications of MongoDB's flexible document-oriented structure, enabling seamless integration with AI models for efficient data processing. Through comprehensive experimentation, we demonstrate the platform's efficacy in enhancing law enforcement efforts, offering insights into its potential applications in surveillance and crime prevention.

关键词： Vehicle Detection License Plate recognition Deep learning Convolutional Neural Network nosql database

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Big Data in Practice : A Study on Cloud Data Collection and Storage Services 7

Big Data in Practice : A Study on Cloud Data Collection and ...

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7th International Conference on Applications of Digital Information and Web Technologies (ICADIWT)

作者： Wang, Chin-Wei Chang, Shuchih Ernest Natl Chung Hsing Univ Inst Technol Management Taichung Taiwan

ISBN: (纸本)9781614996378;9781614996361

With the rapid growth of emerging services and applications, a variety of data to be processed become huge. And the increasing demand for cloud services, including cloud storage, computing and backup, more and more cloud services are emerging. Although many free cloud services (such as Google Drive, Dropbox, etc.) are available on the Internet, there is still much room for improvement. To store data in enterprises, General cloud storage space isn't suitable to deal with large and complex data. A nosql database would be the solution. The purpose of this study is to construct a cloud data collection and storage service via free cloud nosql database and relational database. We also test the performance and make comparison between nosql database and relational database. The benefit of our research is forming an architecture that could enhance the knowledge of using RDB and nosql database and let us clearly understand and realize the difference between them. We can also learn the detail process of collecting and storing big data from this study.

关键词： nosql database cloud services big data

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Towards data warehouse from open data: Case of COVID-19

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International Journal of Hybrid Intelligent Systems 2021年第3-4期17卷 129-142页

作者： Bouaziz, Senda Nabli, Ahlem Gargouri, Faiez Miracl Laboratory Faculty of Economics and Management of Sfax Sfax University Tunisia Faculty of Computer Sciences and Information Technologies Al-Baha University Saudi Arabia Institute of Computer Science and Multimedia of Sfax BP Tunisia

Since December 2019, we have detected the appearance of a new virus called COVID-19, which has spread, throughout the world. Everyone today, has given major importance to this new virus. Although we have little knowledge of the disease, doctors and specialists make decisions every day that have a significant impact on public health. There are many and various open data in this context, which are scattered and distributed. For this, we need to capitalize all the information in a data warehouse. For that, in this paper, we propose an approach to create a data warehouse from open data specifically from COVID-19 data. We start with the identification of the relevant sources from the various open data. Then, we collect the pertinent data. After that, we identify the multidimensional concepts used to design the data warehouse schema related to COVID-19 data. Finally, we transform our data warehouse to logical model and create our nosql data warehouse with Talend Open Studio for Big Data (TOS_BD). © 2021 - The authors. Published by IOS Press.

关键词： COVID-19 data warehouse design nosql database open data

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A Multidimensional Data Storage Model for Location based application on HBase 2

A Multidimensional Data Storage Model for Location based app...

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2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)

作者： Nitnaware, Chandrakant Khan, Amreen YCCE Nagpur Dept Comp Technol Nagpur Maharashtra India YCCC Nagpur Dept Comp Technol Nagpur Maharashtra India

ISBN: (纸本)9781479968183

In the recent years one of the database application challenge is to manage large amounts of terabytes of data which contains more and more complex data without sacrifying the real time querying requirements. Client server architecture is used mostly to develop specialized servers optimized to manage most of the database applications. Until recently, most of the organizations were using relational database management systems for their applications as data administration. But, as the data is consistently increasing, so RDBMs cannot handle growing amounts of terabytes of data, such applications require other kinds of databases such as nosql databases. A nosql (Not Only SQL) database is simple in design and can store terabytes of data with finer control over availability. nosql databases such as Hbase are widely used in big data and real-time applications. In Hbase, data is present in a collection of key-value pairs and each possible key is unique in the collection. we present the index structure using quad tree over hbase which can insert large number of multidimensional data based on location and response time of nearest neighbor queries as lower than traditional Relational DBMS system.

关键词： multidimensional data key-value store hbase location based applications nosql database

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An Neo4j Implementation for Designing Fuzzy Graph databases 19

An Neo4j Implementation for Designing Fuzzy Graph Databases

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23rd Annual International Symposium database Applications and Engineering (IDEAS)

作者： Costa, Bruno Ponsoni Cura, Luis del Val UNIFACCAMP Comp Sci MSc Program Campo Limpo Paulista Brazil

ISBN: (纸本)9781450362498

Imperfect data express their meanings incompletely and the Theory of Fuzzy Sets arises as mathematically support for the interpretation of those data. The union of these concepts describes a new data type, called fuzzy data. We discuss the use of fuzzy data in Graph databases. Previous works define fuzzy queries on Graph databases but the data stored is a regular and perfect data. In that works we extent a Graph database and lets the users store information in the fuzzy and imperfect data. The databases management system Neo4j is proposed to developed the application and the Cypher database languages to describes the imperfect data definitions. We uses a social network use case to illustrated the works,

关键词： Fuzzy Graph database nosql database

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MEMS Data Extractor Model 13

MEMS Data Extractor Model

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13th International Conference on Experience of Designing and Application of CAD Systems in Microelectronics (CADSM)

作者： Vasyliuk, Iaroslav Teslyuk, Vasyl Zelinskyy, Andryy Lviv Polytech Natl Univ CAD Dept S Bandery St 12 Lvov Ukraine

In this paper the process and program model of universal microelectromechanical systems data extracting and update mechanism from different relational databases to nosql database MongoDB is described.

ISBN: (纸本)9786176077169

关键词： microelectromechanical systems (MEMS) ontology relational database nosql database job triggering queue

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Social Media Analysis Web Application 26

Social Media Analysis Web Application

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XXVI International Conference on Information, Communication and Automation Technologies (ICAT)

作者： Isakovic, Becir Keco, Dino Dogru, Nejdet Int Burch Univ Dept Informat Technol Ilidza Bosnia & Herceg

ISBN: (纸本)9781538633373

Social media is very important factor in analyzing modern society as a whole, their values, norms, and behaviors, as being a part of our everyday life. This study is oriented towards analyzing social media in order to allow users to create their own preferences to follow (analyze) a specific social media source. The web application has been developed to allow a user to follow specific Facebook accounts and categorize the Facebook posts on those accounts based on the user defined taxonomies. Results of this study are various reports generated from the Facebook posts and their statistics that are clustered based on the user defined taxonomies. The benefit of this project is that any user can track in real time when people are talking about some topic, and it enables anyone to have better insight about society as a whole, their values, norms, what they find interesting, and many other things. This tool is also useful for different companies to track the user feedback on social networks for their products.

关键词： social media analysis facebook big data nosql database parallel programming

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Towards Development of Spark Based Agricultural Information System including Geo-Spatial Data 5

Towards Development of Spark Based Agricultural Information ...

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IEEE International Conference on Big Data (IEEE Big Data)

作者： Shah, Purnima Hiremath, Deepak Chaudhary, Sanjay Sch Engn & Appl Sci Ahmadabad Gujarat India

ISBN: (纸本)9781538627150

Voluminous and variety of disparate information is generated and consumed in agriculture domain at a higher velocity. In agriculture, information is available in the form of weather and soil conditions reports, GPS mapping, water resources, fertilizer/ pesticide use, field characteristics, and commodity market conditions. Big data technology has a huge potential to refer these information and produce comprehensive insight via Geo-spatial processing, remote sensing, advance analytics algorithms, cloud resources, and advance storage systems. The paper, proposes a spark based information management system for agriculture and intend to reduce the technological gap between agro users and information. The system is proposed to collect, query, analyze, and visualize heterogeneous and distributed data including Geo-spatial data at scale using open source. The implementation is done on big data open source architectures by developing various web based analytical and visualization services for cotton crop in Gujarat state, India. The analytical results are explored through interactive maps and Restful adhoc APIs.

关键词： Big Data Big Data Analytics nosql database Geo Spatial Data Spatial Analytics

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