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12th International Conference on Mobile Computing and Ubiquitous Networking (ICMU)

作者： Kudo, Tsukasa Shizuoka Inst Sci & Technol Fac Informat Fukuroi Japan

ISBN: (纸本)9784907626419

With the recent development and expansion of the Internet of Things, fog computing has been proposed to solve the problem of transferring large quantities of sensor data to a cloud server. Primary processing is performed at fog nodes installed near sensors and only its results are transferred to server to be shared and used by various analytical processing. When any missing or defective data is detected, the corrected data is retransferred to the server and the related analytical processing are executed again. And, when the results of the analytical and primary processing have a relationship, such as summaries and details, the analytical processing results must be updated with maintaining consistency between them. However, to maintain consistency at all times, analytical processing must be performed with every re-transfer thereby degrading the efficiency. In this paper, I propose a method to reflect many sequential corrections in a lump while maintaining consistency by using the temporal database concept and show its effectiveness.

关键词： IoT fog computing distributed database temporal database bitemporal database transaction time

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The Analysis and Design of Ship Monitoring System Based on Hybrid Replication Technology

The Analysis and Design of Ship Monitoring System Based on H...

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International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)

作者： Ying, Jiang Na, Zhang Ying, Fang Dalian Neusoft Univ Informat Dalian 116023 Liaoning Peoples R China

ISBN: (纸本)9781728113074

As the core of informatization, data has a huge significance to the development of information-based enterprises. Data replication technology is an important approach to solve the problem of enterprise data sharing based on distributed database system. It plays a crucial role in promoting business integration of enterprises and institutions, improving data quality, enhancing data sharing and improving the application level of back-end big data analysis [1]. It is necessary to do research for making a good data management of the distributed database application system, synchronizing the data to the data, preventing data conflicting and being able to synchronize or asynchronous replication. Combining with the database design model of the ship monitoring and control system, this paper mainly described how to complete the construction of distributed database system using Oracle, based on advanced replication technology named as the combination of multi-agent replication and materialized views hybrid replication technology.

关键词： distributed database advanced replication materialized view data conflict

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A Scalable Automated Diagnostic Feature Extraction System for EEGs 43

A Scalable Automated Diagnostic Feature Extraction System fo...

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43rd IEEE-Computer-Society Annual International Computers, Software and Applications Conference (COMPSAC)

作者： Agrawal, Prakhar Bhargavi, Divya Krishna, Gokul G. Han, Xiao Tevathia, Neha Popa, Abbie M. Ross, Nicholas Woodbridge, Diane Myung-kyung Zimmerman-Bier, Barbie Bosl, William J. Harvard Med Sch Boston MA 02115 USA Univ San Francisco Data Sci Program San Francisco CA 94117 USA Univ Med & Dent New Jersey Neurol Newark NY USA

ISBN: (纸本)9781728126074

Researchers using Electroencephalograms ("EEGs") to diagnose clinical outcomes often run into computational complexity problems. In particular, extracting complex, sometimes nonlinear, features from a large number of time-series often require large amounts of processing time. In this paper we describe a distributed system that leverages modern cloud-based technologies and tools and demonstrate that it can effectively, and efficiently, undertake clinical research. Specifically we compare three types of clusters, showing their relative costs (in both time and money) to develop a distributed machine learning pipeline for predicting gestation time based on features extracted from these EEGs.

关键词： Electroencephalography EEG distributed Processing distributed database NoSQL Cloud Computing Machine Learning

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Optimized Multi-agent Personalized Search Engine

Optimized Multi-agent Personalized Search Engine

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Springer International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS)

作者： Verma, Disha Kochar, Barjesh Shishodia, Y. S. Guru Gobind Singh Indraprastha Univ VIPS New Delhi 110034 India Jagannath Univ Jaipur 303901 Rajasthan India BPIT New Delhi 110085 India

ISBN: (纸本)9789811319518;9789811319501

With the advent of personalized search engines a myriad of approaches came into practice. With social media emergence the personalization was extended to different level. The main reason for this preference of personalized engine over traditional search was need of accurate and precise results. Due to paucity of time and patience users didn't want to surf several pages to find the result that suits them most. Personalized search engines could solve this problem effectively by understanding user through profiles and histories and thus diminishing uncertainty and ambiguity. But since several layers of personalization were added to basic search, the response time and resource requirement (for profile storage) increased manifold. So it is time to focus on optimizing the layered architectures of personalization. The paper presents a layout of the multi-agent based personalized search engine that works on histories and profiles. Further to store the huge amount of data, distributed database is used at its core, so high availability, scaling, and geographic distribution are built in and easy to use. Initially results are retrieved using traditional search engine, after applying layer of personalization the results are provided to user. MongoDB is used to store profiles in flexible form thus improving the performance of the engine. Further Weighted Sum model is used to rank the pages in personalization layer.

关键词： Personalized search engine (PSE) Weighted sum model (WSM) Information retrieval User profiling Web personalization MongoDB distributed database

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Scalability and Performance Analysis of CRUD Matrix Based Fragmentation Technique for distributed database

Scalability and Performance Analysis of CRUD Matrix Based Fr...

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15th International Conference on Computer and Information Technology (ICCIT)

作者： Khan, Shahidul Islam Hoque, A. S. M. Latiful IIUC Dept EEE Chittagong Bangladesh Bangladesh Univ Engn & Technol Dept CSE Dhaka Bangladesh

ISBN: (纸本)9781467348362;9781467348331

distributed processing is an efficient way to improve performance of a database management system significantly. Distribution of data involves fragmentation, replication and allocation process. Previous research works provided fragmentation solution based on empirical data which are not applicable at the initial stage of a distributed database. In this paper we have presented a fragmentation technique that can be applied at the initial stage when no experimental data are present as well as in later stages of a distributed database system for partitioning the relations. Scalability of our proposed technique also investigated for different situation those may arise in practical cases of a distributed database. Experimental results show that our technique can solve initial fragmentation problem of distributed database system properly also compete with other non initial fragmentation techniques quite good in later stages.

关键词： distributed database initial fragmentation allocation MCRUD matrix attribute locality precedence

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Research on Query Optimization Technology in distributed database

Research on Query Optimization Technology in Distributed Dat...

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International Conference on Materials Science and Information Technology (MSIT 2011)

作者： Wu Bozhu Chongqing Ind Polytech Coll Chongqing Peoples R China

ISBN: (纸本)9783037853191

Through the in-depth study of the existing distributed database query processing technology, this paper proposes a distributed database query processing program. This program optimizes the existing query processing, stores the commonly used query results according to the query frequency, to be directly used by the subsequent queries or used as intermediate query results, thus avoiding possible transmission of a large number of data, thereby reducing the query time and improving query efficiency.

关键词： distributed database query optimization data dictionary

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Processing skyline queries in incomplete distributed databases

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JOURNAL OF INTELLIGENT INFORMATION SYSTEMS 2017年第2期48卷 399-420页

作者： Alwan, Ali A. Ibrahim, Hamidah Udzir, Nur Izura Sidi, Fatimah Int Islamic Univ Malaysia Dept Comp Sci Kulliyyah Informat & Commun Technol POB 10 Kuala Lumpur 50728 Malaysia Univ Putra Malaysia Fac Comp Sci & Informat Technol Dept Comp Sci Serdang 43400 Malaysia

Due to its great benefits over many database applications, skyline queries have received formidable concern in the last decades. Skyline queries attempt to assist users by identifying the set of data items which represents the best results that meet the conditions of a given query. Most of the existing skyline techniques concentrate on identifying skylines over a single relation. However, in distributed databases, the process of skyline queries required accessing multiple relations which might be located at different sites. Consequently, data items from these multiple relations need to be joined and thus transferring these data items from one site to another is unavoidable. Moreover, the previous techniques also assume that the values of dimensions for every data item are presented (complete) which is not always true as some values may be missing. In this paper, we proposed an approach for processing skyline queries in incomplete distributed databases. The approach derives skylines from multiple relations where dominated data items are removed before joining the relations to reduce the processing time and the network cost. The experimental results illustrate that our proposed approach outperforms the previous approaches in terms of processing time and network cost.

关键词： Skyline queries Preference queries distributed database Incomplete database Query processing

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Designing hybrid graph model and algorithmic analysis of workflow decomposition in mobile distributed systems

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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 2018年 86卷 145-161页

作者： Ali, Ihtisham Bagchi, Susmit Gyeongsang Natl Univ Dept Aerosp & Software Engn Informat Jinju 660701 South Korea

The execution of data intensive workflow is challenging in the domain of mobile distributed systems due to the involvement of heterogeneous computing devices and dynamic network topology. Moreover, data intensive workflow execution requires frequent access to database servers for dataflow and control flow operations resulting in massive data transfer. The workflow decomposition and distribution are required to minimize data transfer and to reduce execution delay in mobile distributed systems. This paper proposes a hybrid graph model of workflow in mobile distributed systems relying on dynamic network topology and distributed database in order to facilitate workflow decomposition. The algebraic and numerical analysis of the hybrid graph model is represented providing inherent properties. Furthermore, we have presented an extensive analytical study of existing workflow decomposition approaches and have provided detailed analysis to determine the suitability of these approaches in mobile distributed systems. We have also proposed a novel framework and implementation directions for workflow decomposition based on multiple parameters for mobile distributed systems. (C) 2018 Elsevier B.V. All rights reserved.

关键词： Workflow decomposition distributed database Workflow graph Algorithmic analysis Mobile distributed systems Adjacency matrices

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Thai Agriculture Products Traceability System using Blockchain and Internet of Things

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2019年第9期10卷 578-583页

作者： Surasak, Thattapon Wattanavichean, Nungnit Preuksakarn, Chakkrit Huang, Scott C. -H. Natl Tsing Hua Univ Inst Commun Engn Hsinchu Taiwan Natl Chiao Tung Univ Dept Appl Chem Hsinchu Taiwan Kasetsart Univ Dept Comp Engn Nakhon Pathom Thailand

In this paper, we successfully designed and developed Thai agriculture products traceability system using blockchain and Internet of Things. Blockchain, which is the distributed database, is used for our proposed traceability system to enhance the transparency and data integrity. OurSQL is added on another layer to easier query process of blockchain database, therefore the proposed system is a user-friendly system, which cannot be found in ordinary blockchain database. The website and android application have been developed to show the tracking information of the product. The blockchain database coupling with Internet of Things give a number of benefits for our traceability system because all of the collecting information is in real-time and kept in a very secured database. Our system could have a huge impact on food traceability and supply chain management become more reliable as well as rebuild public awareness in Thailand on food safety and quality control.

关键词： Blockchain internet of things supply chain management product traceability distributed database data integrity ourSQL

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An efficient synchronous indexing technique for full-text retrieval in distributed databases 21

An efficient synchronous indexing technique for full-text re...

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21st International Conference on Knowledge - Based and Intelligent Information and Engineering Systems (KES)

作者： Hassen, Fadoua Amel, Grissa Touzi Univ Tunis El Manar LIPAH FST Tunis Tunisia

Despite the fact that distributed databases (DDB) have become a requirement of users and real-world applications, these DDBs are still too far from the performance of centralized DBs that have shown efficiency and robustness with their native search engines. Indeed, DDB couldnt benefit from textual search engines because of the timing issue in the distributed context and keeping data integrity among the distributed architecture. As a contribution in this research field, we propose in this paper, a new technology for indexing DDB based on the Lucene indexing engine. We prove that this technology allows, in addition to textual search, 1) the transparency of distributed architectures scaling [8] and external search indexes, 2) the optimization of the exchange protocol data between nodes, 3) the synchronous processing of insertion, deletion or failure of a node of the distributed topology. (C) 2017 The Authors. Published by Elsevier B.V.

关键词： synchronization distributed database Full-text Lucene

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