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Design and implementing Big Data system for cardiovascular data

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2021年第2期33卷 e5068-e5068页

作者： Tung, Nguyen Thanh Duc, Nguyen Huu Vietnam Natl Univ Int Sch Hanoi Vietnam Ha Noi Univ Sci & Technol Inst Informat Technol & Commun Hanoi Vietnam

Thus far, medical data have been used to serve the need of people's healthcare. In some countries, in recent years, a lot of hospitals have altered the conventional paper medical records into electronic health records. The data in these records grow continuously in real time, which generates a large number of medical data available for physicians, researchers, and patients in need. Systems of electronic health records share a common feature that they are all constituted from open sources for Big Data with distributed structure in order to collect, store, exploit, and use medical data to track down, prevent, treat human's diseases, and even forecast dangerous epidemics.

关键词： Big Data distributed database epidemiology real‐ time

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On the Design of Adaptive and Speculative Concurrency Control in distributed databases 34

On the Design of Adaptive and Speculative Concurrency Contro...

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34th IEEE International Conference on Data Engineering Workshops (ICDEW)

作者： Lin, Qian Chen, Gang Zhang, Meihui Natl Univ Singapore Singapore Singapore Zhejiang Univ Hangzhou Zhejiang Peoples R China Beijing Inst Technol Beijing Peoples R China

ISBN: (纸本)9781538655207

Efficient online transaction processing is key to many database applications, and existing concurrency control protocols perform remarkably well under specific workloads or access patterns that they have been designed for. However, they often do not scale well when the workload is dynamic. To tackle the challenge of dynamic workloads, we propose an Adaptive and Speculative Optimistic Concurrency Control (ASOCC) protocol for effective transaction processing. Based on real-time monitoring of data access frequency, ASOCC adaptively embeds 2PL into the OCC scheme to facilitate superior contention resolution with reduced transaction aborts. Further, ASOCC dynamically inspects the correlation of data accesses and exploits such information to perform speculative transaction restart to save CPU cycles wasted on the processing of transactions that are destined to abort.

关键词： OLTP distributed database concurrency control OCC 2PL speculation

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Tiny Cyber-Physical Systems for Performance Improvement in the Factory of the Future

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2019年第3期15卷 1598-1608页

作者： Bonci, Andrea Pirani, Massimiliano Longhi, Sauro Univ Politecn Marche Dept Informat Engn I-60131 Ancona Italy

This work extends a performance metrics method for the treatability of some classes of problems in manufacturing automation that can be represented as a system-of-systems controlled by a cyber-physical infrastructure. With the use of proper distributed and recursive computing approaches, the complexity of the control of cyber-physical systems can be attacked through a unified and human-centered simple framework that complies with the forthcoming pervasive computing challenges posed by the smart manufacturing scenarios. The aim of this work is to provide the proof of concept of an effective methodology that relies on the decomposition of a production goal into a hierarchical self-similar structure of subgoals for the steering of the system toward improved effectiveness. An implementation of the technique is proposed by means of multiactor and multidatabase paradigms. The simulation of implementation and experimental deployment on low cost embedded device is provided.

关键词： Cyber-physical systems (CPS) distributed database embedded systems performance metrics smart manufacturing

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A review on blockchain applications in the agri-food sector

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JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2019年第14期99卷 6129-6138页

作者： Antonucci, Francesca Figorilli, Simone Costa, Corrado Pallottino, Federico Raso, Luciano Menesatti, Paolo Consiglio Ric Agr & Anal Econ Agr CREA Ctr Ric Ingn & Trasformaz Agroalimentari Via Pascolare 16 I-00015 Monterotondo Italy Microsoft Srl Milan Italy

BACKGROUND Food security can benefit from the technology's transparency, relatively low transaction costs and instantaneous applications. A blockchain is a distributed database of records in the form of encrypted blocks, or a public ledger of all transactions or digital events that have been executed and shared among participating parties and can be verified at any time in the future. Generally, the robust and decentralized functionality of the blockchain is used for global financial systems, but it can easily be expanded to contracts and operations such as tracking of the global supply chain. In the precision agriculture context, Information and Communications Technology can be further implemented with a blockchain infrastructure to enable new farm systems and e-agriculture schemes. RESULTS The purpose of this review is to show a panorama of the scientific studies (enriched by a terms mapping analysis) on the use of blockchain in the agri-food sector, from both an entirely computational and an applicative point of view. As evidenced by the network analysis, the reviewed studies mainly focused on software aspects (e.g. the architecture and smart contracts). However, some aspects regarding the different blockchain knots (computers always connected to the blockchain network) having the role to store and distribute an updated copy of each block in a food supply-chain, result of crucial importance. CONCLUSION These technologies appear very promising and rich of great potential showing a good flexibility for applications in several sectors but still immature and hard to apply due to their complexity. (c) 2019 Society of Chemical Industry

关键词： supply chain distributed database artificial intelligence IoT ICT traceability

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Smart contracts for smart supply chains

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IFAC-PapersOnLine 2019年第13期52卷 2501-2506页

作者： Prause, Gunnar Department of Business Administration Tallinn University of Technology Tallinn Estonia Wismar Business School Wismar University Wismar Germany

A smart contract is an electronic transaction protocol intended to digitally facilitate, verify, or enforce the negotiation and execution of the terms of an underlying legal contract designed to fulfil common contractual conditions comprising payments, legal obligations, and enforcement without third parties. Thus, by following the traditional perception, smart contracts target to reduce transaction costs including arbitration and enforcement costs by realising trackable and irreversible transactions by using blockchain technology for distributed databases. However, the potential of smart contracts goes far beyond cost reductions by facilitating the entrepreneurial collaboration of cross-organisational business-processes that are characteristic for smart supply chains. A closer look to existing or ongoing smart contract projects reveals that the majority of smart-contract applications in business life are linked to supply chain management, Internet of Things and Industry 4.0 solutions. The author participated in several EU projects related to transnational entrepreneurial networks and smart supply chains. Thus, the paper discusses the research question of how and to which extent smart contracting and blockchain technology can facilitate the implementation of collaborative business structures for sustainable entrepreneurial activities in smart supply chains. The research is based on expert interviews, surveys and case studies, which took place in the context of the EU projects with a focus on the Baltic Sea Region. © 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Project management Blockchain Cost reduction Industry 4.0 Supply chain management Business structures Contract projects distributed database Electronic transaction protocols Enforcement costs Entrepreneurial activity Legal obligations Research questions

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Using Data Partitions and Stateless Servers to Scale Up Fedora Repositories

Using Data Partitions and Stateless Servers to Scale Up Fedo...

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IEEE International Conference on Big Data (Big Data)

作者： Jansen, Gregory Coburn, Aaron Soroka, Adam Marciano, Richard Univ Maryland Coll Informat Studies College Pk MD 20742 USA Inrupt Com Boston MA USA Smithsonian Inst Off Res Comp Washington DC 20560 USA

ISBN: (纸本)9781728108582

We describe the development and testing of the next-generation Trellis Linked Data Platform with Memento versioning support. In addition to highlighting several features that set this system apart from others, we elaborate on the extensive testing and compatibility work that was done in order to align this system with the Fedora 5.0 specification. We draw attention to the performance and scaling features provided by the Trellis Linked Data Platform in general and by the Cassandra database back end. We review the profound impact that such a system can have on demanding, next generation use cases, such as crowd sourcing, machine learning, and direct file access by desktop applications.

关键词： Linked Data Platform Memento Fedora Repository Apache Cassandra Digital Repositories distributed database

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Research of a Possibility of Using Blockchain Technology without Tokens to Protect Banking Transactions

Research of a Possibility of Using Blockchain Technology wit...

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IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)

作者： Popova, Natalia A. Butakova, Natalia G. Natl Res Univ Elect Technol Moscow Russia Moscow Polytech Univ Moscow Russia

ISBN: (纸本)9781728103396

this paper discusses the use of Blockchain technology without tokens to protect information about banking transactions, namely, transfer amounts, card details, names of participants, etc. This topic is relevant, since the digital economy is becoming an integral part of modern life. The processed information passes through the database of banks and payment systems, which potentially makes it available to the attacker. The article analyzes the protection mechanisms of distributed databases, proposes a solution to the problem of maintaining the uniqueness of information in them based on Blockchain technology without tokens and gives recommendations on the introduction of Blockchain technology into modern banking systems.

关键词： distributed database mining token Blockchain transaction

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A Model for Computing Skyline Data Items in Cloud Incomplete databases

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Procedia Computer Science 2020年 170卷 249-256页

作者： Yonis Gulzar Ali A. Alwan Abedallah Zaid Abualkishik Abid Mehmood Department of Management Information Systems King Faisal University Al-Ahsa 31982 Saudi Arabia Kulliyyah of Information and Communication Technology International Islamic University Malaysia 53100 Kuala Lumpur Malaysia American University in the Emirates Dubai United Arab Emirates

Skyline queries intend to retrieve the most superior data items in the database that best fit with the user’s given preference. However, processing skyline queries are expensive and uneasy when applying on large distributed databases such as cloud databases. Moreover, it would be further sophisticated to process skyline queries if these distributed databases have missing values in certain dimensions. The effect of data incompleteness on skyline process is extremely severe because missing values result in un-hold the transitivity property of skyline technique and leads to the problem of cyclic dominance . This paper proposes an efficient model for computing skyline data items in cloud incomplete databases. The model focuses on processing skyline queries in cloud incomplete databases aiming at reducing the domination tests between data items, the processing time, and the amount of data transfer among the involved datacenters. Various set of experiments are conducted over two different types of datasets and the result demonstrates that the proposed solution outperforms the previous approaches in terms of domination tests, processing time, and amount of data transferred.

关键词： Skyline queries incomplete data query processing cloud databases distributed database

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A New Statistics Collecting Method with Adaptive Strategy 24th

A New Statistics Collecting Method with Adaptive Strategy

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24th Int Conference on database Systems for Advanced Applications / 6th Int Workshop on Big Data Management and Service / 4th Int Workshop on Big Data Quality Management / 3rd Int Workshop on Graph Data Management and Analysis

作者： Gao, Jin-Tao Liu, Wen-Jie Li, Zhan-Huai Du, Hong-Tao Pei, Ou-Ya Northwestern Polytech Univ Xian 710072 Shaanxi Peoples R China

ISBN: (纸本)9783030185909;9783030185893

Collecting statistics is a time- and resource-consuming operation in distributed database systems. It is even more challenging to efficiently collect statistics without affecting system performance, meanwhile keeping correctness in a distributed environment. Traditional strategies usually consider one dimension during collecting statistics, which is lack of generalization. In this paper, we propose a new statistics collecting method with adaptive strategy (APCS), which well leverages collecting efficiency, correctness of statistics and effect to system performance. APCS picks appropriate time to trigger collecting action and filter unnecessary tasks, meanwhile reasonably allocates collecting tasks to appropriate executing locations with right executing model.

关键词： Statistics collecting distributed database Adaptive strategy Query optimization

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Towards Self-organizing Cloud Polyglot database Systems 13

Towards Self-organizing Cloud Polyglot Database Systems

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13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO)

作者： Zurkowski, Bartosz Zielinski, Krzysztof AGH Univ Sci & Technol Dept Comp Sci Krakow Poland Samsung R&D Inst Poland Krakow Poland

ISBN: (纸本)9781728127316

The demand for database OPEX reduction emerging from strict and heterogeneous storage requirements of modern cloud applications motivates shifting the contemporary manual and semi-automated approaches into an autonomic database management framework. As a first step towards fulfilling that vision, we introduce the Self-organizing Polyglot Persistence Architecture encompassing the key elements required for modeling self-adaptive capabilities into distributed database environments. We then implement SPPA-derived infrastructure framework based on services provided by OpenStack private cloud platform. Our experimental studies comprising various database scaling scenarios in the context of diverse database technologies (MariaDB Galera Cluster, Cassandra) confirm that the proposed SPPA approach enables cloud operators with a modular, declarative and flexible end-to-end solution for introducing adaptive database behaviors in the cloud.

关键词： Cloud database distributed database Polyglot Persistence Self-adaptation

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