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CPDE: A Methodology for the Transparent Distribution of Centralized Smart Grid Programs

IEEE TRANSACTIONS ON PARALLEL AND distributed SYSTEMS 2021年第2期32卷 342-354页

作者： Nguyen, Thi Thanh Quynh Bobineau, Christophe Debusschere, Vincent Giap, Quang Huy Hadjsaid, Nouredine Univ Grenoble Alpes CNRS Grenoble INP Inst EngnG2Elab F-38000 Grenoble France Univ Grenoble Alpes CNRS Grenoble INP Inst EngnLIG F-38000 Grenoble France Univ Sci & Technol Univ Danang Fac Elect Engn Danang Vietnam

Control and management in smart grids are facing many challenges such as scalability, heterogeneity and technology innovation. This requires a transformation from the traditional centralised paradigm into a distributed one. In this article, a new distributed programming methodology, called Centralised Programming and distributed Execution (CPDE), is proposed. CPDE relies on (i) the abstraction of the whole system as a distributed database;(ii) the use of the Smartlog declarative and reactive rule based language for expressing data manipulation;and (iii) the automatic Smartlog rule distribution according to data distribution. It thus provides a simple and straightforward mean for distributed programming. A centralised algorithm of fair over-voltage regulation of PV systems is used as a typical smart grids study case to validate the methodology and to compare it with centralized implementations. The experiments are implemented in a real-time simulation platform with a network of Raspberry Pis. In addition to showing its correctnes and ease of use, the performance of the CPDE implementation is studied, as well as its sensitivity to the increasing number of computing units and the data distribution. Results are promising and show the clear benefits of this methodology compared to more classical implementations.

关键词： distributed programming CPDE methodology distributed database declarative language Smartlog smart grid

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distributed rrays: an algebra for generic distributed query processing

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distributed AND PARALLEL databaseS 2021年第4期39卷 1009-1064页

作者： Gueting, Ralf Hartmut Behr, Thomas Nidzwetzki, Jan Kristof Fernuniv Fac Math & Comp Sci D-58084 Hagen Germany

We propose a simple model for distributed query processing based on the concept of a distributed array. Such an array has fields of some data type whose values can be stored on different machines. It offers operations to manipulate all fields in parallel within the distributed algebra. The arrays considered are one-dimensional and just serve to model a partitioned and distributed data set. distributed arrays rest on a given set of data types and operations called the basic algebra implemented by some piece of software called the basic engine. It provides a complete environment for query processing on a single machine. We assume this environment is extensible by types and operations. Operations on distributed arrays are implemented by one basic engine called the master which controls a set of basic engines called the workers. It maps operations on distributed arrays to the respective operations on their fields executed by workers. The distributed algebra is completely generic: any type or operation added in the extensible basic engine will be immediately available for distributed query processing. To demonstrate the use of the distributed algebra as a language for distributed query processing, we describe a fairly complex algorithm for distributed density-based similarity clustering. The algorithm is a novel contribution by itself. Its complete implementation is shown in terms of the distributed algebra and the basic algebra. As a basic engine the Secondo system is used, a rich environment for extensible query processing, providing useful tools such as main memory M-trees, graphs, or a DBScan implementation.

关键词： distributed database distributed query processing Density-based similarity clustering

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Migration of stored procedure to distributed cloud database

Migration of stored procedure to distributed cloud database

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International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)

作者： Duan, Kenan Shanghai Jiao Tong Univ Sch Software Shanghai 200240 Peoples R China

ISBN: (纸本)9783038350125

Many legacy applications rely on a single instance relational database. In the age of big data, applications with growing popularity may continue to generate large amount of data. The data would be beyond the limit of a traditional relational database. These applications can be migrated to a distributed database system for acquiring high scalability and performance. But the migration process is complicated especially for user defined stored procedure. In order to obtain the correct behavior, a stored procedure usually has to be rewritten in the application code. This rewriting is usually a time consuming and unpleasant task. This study gives a mechanism for migrating stored procedure from single instance relational database to distributed sharded database without the need of application code rewriting. In the migration solution offered by this study, Oracle stored procedure code is parsed, analyzed, and translated so as to be stored and executed globally in a sharded database.

关键词： Stored procedure distributed database database migration Sharding

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A middleware architecture to integrate and share health data from heterogeneous and diverse data sources

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Iran Journal of Computer Science 2022年第3期5卷 267-277页

作者： Das, Subrata Kumar Rahman, Mohammad Zahidur Department of Computer Science and Engineering Jahangirnagar University Dhaka Savar Bangladesh

The healthcare data are recorded by the general practitioners or others from different sources and locations. Electronic health data are significant to integrate and share from different databases to provide urgent information for quality treatment of the patient. However, the sharing of patient data is still a great issue due to the heterogeneity of structural, semantic, and querying syntaxes. The paper proposes a middleware architecture to reconstruct data from heterogeneous distributed databases (HDDBs) in a unified view for sharing data. We use patient prescription datasets to test the functionality of the architecture. The implemented system works successfully and efficiently to extract and combine data from diverse databases. The proposed architecture facilitates health data consolidation and communication among HDDBs by resolving existing problems without altering the current systems. Health professionals or users could share data from scattered source databases to enhance the effectiveness of their decisions and actions to the patients. The availability of the previous health documents would also reduce the patients’ treatment costs. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022.

关键词： distributed database Health data Heterogeneity Integration Middleware

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A SECURE DATA STORAGE APPROACH FOR ONLINE EXAMINATION PLATFORM USING CLOUD DBAAS SERVICE

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SCALABLE COMPUTING-PRACTICE AND EXPERIENCE 2024年第5期25卷 3715-3724页

作者： Banothu, Srinu Janardhan, G. Sirisha, G. Shepuri, Srinivasulu Karnam, Madhavi Balaram, Allam Vignan Inst Technol & Sci Dept CSE Deshmukhi V 508284 Telangana India CVR Coll Engn Dept CSE Mangalpally V 501510 Telangana India AVN Inst Engn & Technol Dept CSE AIML Hyderabad 501505 Telangana India Gokaraju Rangaraju Inst Engn & Technol Dept ECE Hyderabad 500090 Telangana India MLR Inst Technol Dept CSE Hyderabad 500043 Telangana India

For the time being, many government or private organizations for recruitment of staff or educational institutions moving towards online based tests. The online examination system is a software application used for conducting examination using computer systems. It helps to the recruitment agency or any govt. or private organizations for conducting any job recruitment examinations transparently. Due to this system results are processed without delay and efficiently evaluated to assess the candidate's abilities. But the biggest challenge for online examination system is data integrity, security and privacy. The current system is resolving the privacy issue by providing authentication credentials such as user name, password to the candidates. So that only authorized users with proper credentials can login to the system and attempt the exam. But the data confidentiality and integrity are biggest challenges for the system. As the data stored in system database is in plain text format, hence it may be modified or misused by the internal staff of the organization. This paper presents the frame work for secure storage and management of candidate's data using encryption scheme, distributed databases in cloud database system. The proposed framework enhances the data confidentiality, integrity and avoids any cheating by internal staff or third party institutions. This paper conducts experimental work on proposed framework and analyses the results of the system.

关键词： online examination system data security cloud database encryption distributed database

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TOSDS: Tenant-centric Object-based Software Defined Storage for Multitenant SaaS Applications

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ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2021年第9期46卷 9221-9235页

作者： Sharma, Aditi Kaur, Parmeet Jaypee Inst Informat Technol Noida India

Enormous amounts of unstructured data such as images, videos, emails, sensors' data and documents of multiple types are being generated daily by varied applications. Apart from the challenges related to collection or processing of this data, its efficient storage is also a significant challenge since this data do not conform to any predefined storage model. Therefore, any enterprise dealing with huge unstructured data requires a scalable storage system that can provide data durability and availability at a low cost. The paper proposes a tenant-centric approach to develop an object-based software defined storage system for SaaS multi-tenant applications. We present TOSDS (Tenant-centric Object-based Software Defined Storage), a system that can efficiently meet the storage requirements of users or tenants with diverse needs who are using a multitenant SaaS application. The experimental verification of TOSDS illustrates its effectiveness in storage utilization as well as tenant isolation.

关键词： Multitenancy distributed database Software defined storage Location Bin Virtualization Object storage

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Use of Component Integration Services in Multidatabase Systems: A Feasible Solution for Integrating Academic Institutions or Commercial Industries

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Journal of Software Engineering and Applications 2023年第11期16卷 561-585页

作者： Mohammad Ghulam Ali Mohammad Ghulam Murtuza Vinod Gupta School of Management Indian Institute of Technology Kharagpur Kharagpur India Research Service Center Post Graduate Department of Physics Tilka Manjhi Bhagalpur University Bhagalpur India

The book chapter is an extended version of the research paper entitled “Use of Component Integration Services in Multidatabase Systems”, which is presented and published by the 13^th ISITA, the National Conference of Recent Trends in Mathematical and Computer Sciences, T.M.B. University, Bhagalpur, India, January 3-4, 2015. Information is widely distributed across many remote, distributed, and autonomous databases (local component databases) in heterogeneous formats. The integration of heterogeneous remote databases is a difficult task, and it has already been addressed by several projects to certain extents. In this chapter, we have discussed how to integrate heterogeneous distributed local relational databases because of their simplicity, excellent security, performance, power, flexibility, data independence, support for new hardware technologies, and spread across the globe. We have also discussed how to constitute a global conceptual schema in the multidatabase system using Sybase Adaptive Server Enterprise’s Component Integration Services (CIS) and OmniConnect. This is feasible for higher education institutions and commercial industries as well. Considering the higher educational institutions, the CIS will improve IT integration for educational institutions with their subsidiaries or with other institutions within the country and abroad in terms of educational management, teaching, learning, and research, including promoting international students’ academic integration, collaboration, and governance. This will prove an innovative strategy to support the modernization and large expansion of academic institutions. This will be considered IT-institutional alignment within a higher education context. This will also support achieving one of the sustainable development goals set by the United Nations: “Goal 4: ensure inclusive and quality education for all and promote lifelong learning”. However, the process of IT integration into higher educational institu

关键词： Relational database Component Integration Services OmniConnect Multidatabase Global Conceptual Schema distributed database Local Conceptual Schema database Integration IT Integration Higher Education Commercial Industries HEIs

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Online education based on distributed multi-layer data processing technology

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Procedia Computer Science 2023年 228卷 688-700页

作者： Shunji Cui Jilin Agricultural Science and Technology University Jilin China

In order to promote the intelligent development of online education and optimize the status quo of online education, an online education method based on distributed multi-layer data processing technology is proposed. The method integrates the database information and builds the BTREE index by calculating the distributed database resource information, the initial information sequence, the main information set and the trade-off coefficient of information attributes. The bidirectional index method is used to extract the core data segment of integrated data and establish the time series table. The schedule is used to constrain the data twice, and the coincidence degree of the initial data transmission path is compared with the actual path parameters after evaluation, so as to realize the automatic matching of the data transmission path. The experimental results show that compared with the traditional transmission path matching method, the designed automatic matching method improves the matching accuracy of the complete data transmission path by 24% and the broken data transmission path by 19%, which has practical advantages. It is proved that this method can promote the precise personality teaching of online education, so as to achieve the effect of optimizing online education. It can also provide reference for the intelligent development of other online education.

关键词： distributed database Transmission path Online education Intelligent software

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Presto: A Decade of SQL Analytics at Meta

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Proceedings of the ACM on Management of Data 2023年第2期1卷 1-25页

作者： Yutian Sun Tim Meehan Rebecca Schlussel Wenlei Xie Masha Basmanova Orri Erling Andrii Rosa Shixuan Fan Rongrong Zhong Arun Thirupathi Nikhil Collooru Ke Wang Sameer Agarwal Arjun Gupta Dionysios Logothetis Kostas Xirogiannopoulos Amit Dutta Varun Gajjala Rohit Jain Ajay Palakuzhy Prithvi Pandian Sergey Pershin Abhisek Saikia Pranjal Shankhdhar Neerad Somanchi Swapnil Tailor Jialiang Tan Sreeni Viswanadha Zac Wen Biswapesh Chattopadhyay Bin Fan Deepak Majeti Aditi Pandit Meta Platforms Inc Menlo Park CA USA Alluxio Inc San Mateo CA USA Ahana Cloud Inc Mountain View CA USA

Presto is an open-source distributed SQL query engine that supports analytics workloads involving multiple exabyte-scale data sources. Presto is used for low-latency interactive use cases as well as long-running ETL jobs at Meta. It was originally launched at Meta in 2013 and donated to the Linux Foundation in 2019. Over the last ten years, upholding query latency and scalability with the hyper growth of data volume at Meta as well as new SQL analytics requirements have raised impressive challenges for Presto. A top priority has been ensuring query reliability does not regress with the shift towards smaller, more elastic container allocation, which requires queries to run with substantially smaller memory headroom and can be preempted at any time. Additionally, new demands from machine learning, privacy, and graph analytics have driven Presto maintainers to think beyond traditional data analytics. In this paper, we discuss several successful evolutions in recent years that have improved Presto latency as well as scalability by several orders of magnitude in production at Meta. Some of the notable ones are hierarchical caching, native vectorized execution engines, materialized views, and Presto on Spark. With these new capabilities, we have deprecated or are in the process of deprecating various legacy query engines so that Presto becomes the single piece to serve interactive, ad-hoc, ETL, and graph processing workloads for the entire data warehouse.

关键词： data analytics data warehouse distributed database etl olap presto sql

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An Optimistic Approach in distributed database Concurrency Control

An Optimistic Approach in Distributed Database Concurrency C...

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5th International Conference on Computer Science and Information Technology (CSIT)

作者： Rawashdeh, Obaidah A. Muhareb, Hiba A. Al-Sayid, Nedhal A. Appl Sci Univ Dept Comp Sci Fac Informat Technol Amman Jordan Appl Sci Univ Dept Fac Informat Technol Amman Jordan

ISBN: (纸本)9781467358255

In this paper, we present an optimistic concurrency control solution. The proposed solution represents an excellent blossom in the concurrency control field. It deals with the concurrency control anomalies, and, simultaneously, assures the reliability of the data before read-write transactions and after successfully committed. It can be used within the distributed database to track data logs and roll back processes to overcome distributed database anomalies. The method is based on commit timestamps for validation and an integer flag that is incremented each time a successful update on the record is committed. We show that this method overcomes inefficient taken methods (i.e. unnecessary restarts) in order to improve the performance and to increase productivity. Moreover, the method includes information about the time-stamping of transactions and flagging successfully updated data in the main-memory as it is proposed. Finally, the implemented work finds a need for an adaptive and an integrated concurrency control method in distributed database systems. Thus, a new optimistic concurrency control method is presented in this paper where it is expected to produce correct and reliable results.

关键词： Concurrency Control Optimistic distributed database

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