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2nd IEEE International Conference on Futuristic Technologies, INCOFT 2023

作者： Pawar, Manjula K Hiregowdar, Harshitha S Joshi, Sukruti Kle Technological University Department of Computer Engineering Karnataka Hubli India

ISBN: (纸本)9798350308846

This research paper presents the design and implementation of a land registry system using multiple nodes with Geth, a command-line interface for running Ethereum nodes. The system is designed to address the issues of security and efficiency in the current land registration system. The system uses a distributed database with multiple nodes to store land records, providing redundancy and fault tolerance. The use of a distributed database also ensures that no single point of failure exists, improving the system's reliability. To ensure that the land records are impenetrable and cannot be changed without permission, the system makes use of the Ethereum blockchain. A consensus mechanism is used to implement the blockchain, ensuring that every node on the network concurs with the database's current state. The use of a consensus algorithm ensures that the system is secure and resilient to attacks. To automate the transfer of land ownership, the system also includes a smart contract framework. The smart contract system ensures that all parties involved in a land transaction agree on the terms of the transaction before it is executed. This reduces the possibility of land transaction conflicts. The system was developed using Geth, a commandline interface for managing Ethereum nodes. The system was tested using a simulated network of nodes and was found to be reliable and efficient. The system showed high throughput and low latency, which qualified it for usage in a production setting. © 2023 IEEE.

关键词： Consensus Algorithm distributed database Ethereum Blockchain Geth Land Registry System Smart Contract

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Big Data Storage and Query Optimization Based on distributed Computing Algorithm

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Procedia Computer Science 2025年 261卷 799-805页

作者： Qiuming Jiang Yanting Wang Hubei Industrial Polytechnic Shiyan 442000 Hubei China

The growth of data volume makes it difficult for traditional storage architecture to meet the storage needs of big data, and the query efficiency is also greatly reduced. Therefore, there is an urgent need for an efficient storage and query optimization strategy to improve big data processing capabilities and system performance. To achieve the above goals, this study first introduces the Hadoop HDFS distributed file system as the underlying storage architecture. Multiple machines work together to store data in multiple nodes. At the same time, data sharding technology is used to cut data into multiple small blocks and distribute them to different nodes to achieve parallel data processing and load balancing. In terms of query optimization, this study improves query efficiency through strategies such as index optimization, query rewriting, and parallel query. This study establishes a suitable index structure for the data to accelerate the data retrieval process; by rewriting complex query statements, it is converted into a more efficient equivalent form. In addition, this study uses the parallel processing capabilities of the distributed computing framework to distribute query tasks to multiple nodes for parallel execution. Compared with traditional methods, the distributed storage architecture proposed in this paper performs well in terms of storage space utilization, reaching a maximum of 97.6%. At the same time, in terms of fault recovery time, this method is better than traditional methods, such as the recovery time in process 1 is shortened from 29.9 seconds to 15 seconds. In terms of query response time, the average query response time of this method in 30 processes is only 297.2 milliseconds, which is much lower than the 560 milliseconds of traditional methods.

关键词： Hadoop HDFS data sharding distributed database index optimization

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A Web-Based Monitoring System of Network Security Functions in Blockchain-Based Cloud Security Systems 36

A Web-Based Monitoring System of Network Security Functions ...

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36th International Conference on Information Networking (ICOIN)

作者： Kim, Jeonghyeon (Joshua) Lingga, Patrick Jeong, Jaehoon Paul Choi, Yunchul Park, JungSoo Sungkyunkwan Univ Dept Comp Sci & Engn Suwon South Korea Sungkyunkwan Univ Dept Elect & Comp Engn Suwon South Korea ETRI Dept Intelligence & Stand Res Daejeon South Korea

ISBN: (纸本)9781665413329

To prevent security attacks targeting enterprises and services, security managers use Network Security Functions (NSFs) from various manufacturers. For the unified management of these used NSFs, the Interface to Network Security Functions (I2NSF) Working Group of Internet Engineering Task Force (IETF) provides a framework with standard interfaces and data models to easily configure the NSFs. The user can use this framework to easily manipulate and manage NSFs configuration without any security expertise. One of the proposed interfaces is the Monitoring Interface that can be used to monitor the performance and status of the NSFs. We implemented a blockchain network using Hyperledger Fabric to ensure the integrity of the monitoring data of the NSFs delivered through the monitoring interface. In addition, we implemented a web application that can visualize the monitoring data of NSFs in realtime by implementing REST API using the JavaScript-based Hyperledger SDK.

关键词： Network Security Blockchain distributed database I2NSF Network Monitoring

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Confidence Bounded Replica Currency Estimation 22

Confidence Bounded Replica Currency Estimation

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International Conference on Management of Data (SIGMOD)

作者： Sun, Yu Zheng, Zheng Song, Shaoxu Chiang, Fei Tsinghua Univ BNRist Beijing Peoples R China McMaster Univ Hamilton ON Canada

ISBN: (纸本)9781450392495

Replicas of the same data item often exhibit varying consistency levels when executing read and write requests due to system availability and network limitations. When one or more replicas respond to a query, estimating the currency (or staleness) of the returned data item (without accessing the other replicas) is essential for applications requiring timely data. Depending on how confident the estimation is, the query may dynamically decide to return the retrieved replicas, or wait for the remaining replicas to respond. The replica currency estimation is expected to be accurate and extremely time efficient without introducing large overhead during query processing. In this paper, we provide theoretical bounds on the confidence of replica currency estimation. Our system computes with a minimum probability p, whether the retrieved replicas are current or stale. Using this confidence-bounded replica currency estimation, we implement a novel DYNAMIC read consistency level in the open-source, NoSQL database, Cassandra. Experiments show that the proposed replica currency estimation is intuitive and efficient. In most tested scenarios, with various query loads and cluster configurations, we show our estimations with confidence levels of at least 0.99 while keeping query latency low (close to reading ONE replica).

关键词： replica currency distributed database

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Foundations of Scalable Software Architectures 19

Foundations of Scalable Software Architectures

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19th IEEE International Conference on Software Architecture (ICSA)

作者： Gorton, Ian Rayavarapu, Vijaya Teja Northeastern Univ Khoury Coll Comp Sci Seattle WA 98109 USA Northeastern Univ Khoury Coll Comp Sci Boston MA 02115 USA

ISBN: (纸本)9781665494939

Scalability is a driving software quality attribute for many contemporary, Internet-facing systems. Applications that fail or perform slowly and reject requests under high request loads are rapidly deserted by users, and the resulting business and societal impacts can be profound. This paper summarizes some of the key foundational issues of scalable software and system architectures. Design patterns and tactics needed to ensure scalability are briefly described for both the processing and persistence layers. A case study of a novel approach to balance performance and cost is also presented and we show how this approach can be applied to cloud-based scalable architectures. Detailed coverage of these issues was presented in a tutorial at ICSA 2022.

关键词： scalability performance service architecture distributed systems distributed database cost optimization consistency availability

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Data placement in dynamic fog ecosystems 38

Data placement in dynamic fog ecosystems

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38th IEEE International Conference on Data Engineering (ICDE)

作者： Toliopoulos, Theodoros Michailidou, Anna-Valentini Gounaris, Anastasios Aristotle Univ Thessaloniki Dept Informat Thessaloniki Greece

ISBN: (纸本)9781665481045

Dynamic data placement in distributed fog databases needs to employ different mechanisms than those typically encountered in modern cloud-hosted storage solutions to account for node instability and latency in receiving the results from queries running across multiple sites. In this work, we examine two dynamic data placement policies. The first is based on the fog node stability metadata, while the second one is driven by analytic applications running on top of distributed storages taking into account the latency, data freshness and quality objectives. Both our policies are enabled through extending Apache Ignite.

关键词： fog computing distributed database data placement self-managing

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A study of automatic speech recognition in Portuguese by the Brazilian General Attorney of the Union 22

A study of automatic speech recognition in Portuguese by the...

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22nd IEEE International Conference on Data Mining (ICDM)

作者： Vergara, Rodrigo Fay dos Santos, Paulo Henrique Vergara, Guilherme Fay Mendonca, Fabio Lucio Lopes Veiga, Carlos Eduardo Lacerda Praciano, Bruno Justino Garcia da Silva, Daniel Alves de Sousa Junior, Rafael Timoteo Univ Brasilia UnB Fac Technol Dept Elect Engn ENE Lab Decis Making Technol LATITUDECyber Secur INC Brasilia DF Brazil Union Brazil Brasilia DF Brazil

ISBN: (纸本)9798350346091

This article presents a study of an automatic speech recognition system in Portuguese applied to videos by the General Attorney of the Union of Brazil. As they are confidential videos, using proprietary software from large companies is not allowed for security reasons. Thus, constructing an artificial intelligence model capable of performing automatic speech recognition in Portuguese in the judicial context and making this model available for large-scale inference is critical to maintaining data security. For this purpose, a dataset in Brazilian Portuguese was used by a combination of 3 datasets already built. The system used TDNN Jasper and QuartzNet architectures for network training, obtaining promising preliminary results, having a word error rate (WER) of 56% without using a linguistic model.

关键词： artificial intelligence automatic speech recognition distributed database

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Query Management for a Decentralised Enterprise Knowledge Graph 16

Query Management for a Decentralised Enterprise Knowledge Gr...

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16th International Conference on Signal-Image Technology and Internet-Based Systems (SITIS)

作者： Vide, Bastien Chevalier, Max Ravat, Franck Inst Rech Informat Toulouse Toulouse France Umlaut Blagnac France

ISBN: (纸本)9781665464956

Organisations manage large amount of data scattered in multiple data sources disseminated within the organisation. In this context, decision-making having a complete vision of the available data to make the right decisions is a challenge. Choosing the right strategy to bypass this issue may be impactful on the enterprise data management policy. A good alternative to limit data integration issues can be found in Knowledge Graphs. These Knowledge Graphs allow decision makers to understand which data of interest are existing in the enterprise. They are integrating the semantic of data rather than data itself. In a previous research, we proposed a decentralised enterprise knowledge graph (DEKG) architecture to facilitate decision making and consider the scattered data sources of interest. Due to the decentralised dimension of this architecture and the separation of the data that is scattered in remote sources, but also to the "centralised" aspect of knowledge graphs, one of the remaining challenges is the decentralised query management in order to answer a decision-maker needs. As a result we define in this paper a four step approach to manage queries and to build results based on a DEKG. We illustrate the proposed approach through examples and detail its implementation. We also show the results of preliminary experiments before giving some future work.

关键词： Knowledge representation distributed database Query processing

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Trajectory-aware spatio-temporal range query processing for unmanned aerial vehicle networks

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COMPUTER COMMUNICATIONS 2021年 178卷 271-285页

作者： Li, Xin Liu, Liang Wang, Lisong Xi, Jie Peng, Jianfei Meng, Jingwen Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing Peoples R China Henan Univ Coll Int Educ Kaifeng Peoples R China

Unmanned aerial vehicle (UAV) network is widely used in environmental monitoring, target searching and rescuing, logistics, and other fields due to its characteristics of large-scale coverage, rapid deployment and strong resistance to destruction. When users are interested in sensory data in certain areas covered by UAV networks, they can send a spatio-temporal range query with time and geography constraints through the ground station. For example, obtaining the temperature information around fire points in the forest within an hour before the fire bursts out. Then, UAVs that carry the query results will return the data to the ground station through multi-hop routing. However, most of the existing spatio-temporal range query algorithms are designed for static networks. How to conduct spatio-temporal range queries in the UAV networks is still an open problem. In this paper, we propose a Trajectory-Aware Spatio-Temporal range query processing algorithm (TAST) for UAV networks. The ground station takes advantage of the pre-planned trajectory information of UAVs to build the topology change model of the UAV network, which can reflect the changes of UAVs' communication links and neighbors. Furthermore, the static topology change graph (TCG) is proposed for optimizing the routing of query results in the spatio-temporal query processing. Next, we propose a Trajectory-Aware Spatio-Temporal range query processing algorithm based on packet Splitting (TASTS), which is used to split large query results into multiple small packets called unit packets, and each unit packet is transmitted back to the ground station independently and efficiently. Finally, we evaluated our algorithms through simulation experiments. The simulation results show that TAST and TASTS perform well in terms of query success rate, query efficiency and overhead ratio.

关键词： UAV network Spatio-temporal range query Trajectory-aware distributed database

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XML based advanced distributed database: implemented on library system

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INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT 2013年第1期33卷 28-31页

作者： Goswami, Saikat Kundu, Chandan EIILM Dept Lib Kolkata India EIILM Dept Syst Kolkata India

The modern sensation the field of Library and Information Science is the word e-library where information's are stored in a digital format. It actually enables the use of the new emerging technique XML for transporting information over internet and thus nullifies the disadvantages (viz, rigid transaction set, fixed business rule, high cost, and slow pace) of previously used EDI (Electronic Data Interchange) technique. Keeping in mind the necessity of rapid and dynamic information explosion the library in the modern era should be universal. This concept of spreading a centralized system in a geographically dispersed system is known as distributed system. In this work we represent a model that is distributed in nature and information is transferred by means of XML. (C) 2012 Elsevier Ltd. All rights reserved.

关键词： Data warehouse distributed database XML Data mining Oracle XMLDB CLOB Library system

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