System Architecture and Data Allocation/Coordination Technologies of Autonomous Decentralized Database System for High Assurance

2019 ◽  
Author(s):  
Carlos Perez-Leguizamo ◽  
J.S. Guadalupe Godinez-Borja
Keyword(s):  
System Architecture ◽  
Database System ◽  
Data Allocation ◽  
High Assurance ◽  
Coordination Technologies

Algorithm Development, Simulation Analysis and Parametric Studies for Data Allocation in Distributed Database Systems

2002 ◽  
pp. 157-189
Author(s):  
Amita Goyal Chin
Keyword(s):  
Simulation Analysis ◽  
Database Systems ◽  
Distributed Database ◽  
Database System ◽  
Data Allocation ◽  
Distributed Database Systems ◽  
Data Reorganization ◽  
Incremental Growth ◽  
Efficient Data ◽  
Distributed Database System

In a distributed database system, an increase in workload typically necessitates the installation of additional database servers followed by the implementation of expensive data reorganization strategies. We present the Partial REALLOCATE and Full REALLOCATE heuristics for efficient data reallocation. Complexity is controlled and cost minimized by allowing only incremental introduction of servers into the distributed database system. Using first simple examples and then, a simulator, our framework for incremental growth and data reallocation in distributed database systems is shown to produce near optimal solutions when compared with exhaustive methods.

scholarly journals Nonreplicated Static Data Allocation in Distributed Databases Using Biogeography-Based Optimization

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Arjan Singh ◽  
Karanjeet Singh Kahlon ◽  
Rajinder Singh Virk
Keyword(s):  
Data Transfer ◽  
Distributed Databases ◽  
Distributed Database ◽  
Database System ◽  
Data Allocation ◽  
Transmission Cost ◽  
Static Data ◽  
Total Data ◽  
Transfer Cost ◽  
Distributed Database System

Allocation of data is one of the key design issues of distributed database. A major cost of query execution in a distributed database system is the data transfer cost from one site to another site. The allocation of fragments among the different sites over the network plays an important role in performance of the distributed database system. The main objective of a data allocation in distributed database is to place the data fragments at different sites in such a way, so that the total data transfer cost can be minimized while executing a set of queries. In this paper, a new biogeography-based optimization (BBO) algorithm has been used to allocate the fragments during the design of distributed database system. The goal of this paper is to design a fragments allocation algorithm, so that the total data transmission cost can be minimized. To show the performance of proposed algorithm, results of biogeography-based optimization algorithm for data allocation are compared with genetic algorithm.

Incremental Data Allocation and Reallocation in Distributed Database Systems

2011 ◽  
pp. 137-160 ◽  
Author(s):  
Amita Goyal Chin
Keyword(s):  
Database Systems ◽  
Distributed Database ◽  
Database System ◽  
Data Allocation ◽  
Distributed Database Systems ◽  
Data Reorganization ◽  
Incremental Growth ◽  
Efficient Data ◽  
Distributed Database System ◽  
Database Servers

In a distributed database system, an increase in workload typically necessitates the installation of additional database servers followed by the implementation of expensive data reorganization strategies. We present the Partial REALLOCATE and Full REALLOCATE heuristics for efficient data reallocation. Complexity is controlled and cost minimized by allowing only incremental introduction of servers into the distributed database system. Using first simple examples and then, a simulator, our framework for incremental growth and data reallocation in distributed database systems is shown to produce near optimal solutions when compared with exhaustive methods.

A Data Allocation Strategy Algorithm for Large Databases Based on Genetic Algorithm

2011 ◽  
Vol 268-270 ◽  
pp. 898-903
Author(s):  
Xiao Feng Li ◽  
Yuan Xin Tang ◽  
Cui Cui Gong
Keyword(s):  
Computer Network ◽  
Great Influence ◽  
Distributed Database ◽  
Database System ◽  
Data Availability ◽  
Data Allocation ◽  
Large Databases ◽  
System Improvement ◽  
Distributed Database System ◽  
Allocation Strategies

The distributed database system is the product that the database system combines with the computer network system. The data distribution problem has great influence on distributed database application system improvement, data availability, the efficiency and reliability of the distributed database. The allocation strategies in this paper have used some excellent properties in genetic algorithms, including higher parallelism and robustness, the realization of standard way, and to maintain good balance between the depth prior search and breadth prior search, etc, so the allocation strategies in this article's have high execution efficiency, with stronger ability in seeking the best global solution and easy to realize.

scholarly journals A rule-based video database system architecture

2002 ◽  
Vol 143 (1-4) ◽  
pp. 13-45 ◽  
Author(s):  
Mehmet Emin Dönderler ◽  
Özgür Ulusoy ◽  
Uğur Güdükbay
Keyword(s):  
System Architecture ◽  
Database System ◽  
Video Database ◽  
Rule Based

A Database System Architecture for Air-to-Ground UAS Link Characterization

2018 ◽  
Author(s):  
Abhinav Jadon ◽  
Zachary T. Williams ◽  
Connor Kafka ◽  
Hannah Rotta ◽  
Sumit Roy ◽  
...  
Keyword(s):  
System Architecture ◽  
Database System

A relational database system architecture based on a vector-processing method

1989 ◽  
Vol 48 (2) ◽  
pp. 135-155 ◽  
Author(s):  
Shun'ichi Torii ◽  
Keiji Kojima ◽  
Seiichi Yoshizumi ◽  
Akiharu Sakata ◽  
Yoshifumi Takamoto ◽  
...  
Keyword(s):  
Relational Database ◽  
System Architecture ◽  
Database System ◽  
Processing Method ◽  
Relational Database System ◽  
Vector Processing

The Study of PSTN P2P Protocol in Distributed Multi-Database System in Intelligent Materials System

2011 ◽  
Vol 63-64 ◽  
pp. 299-304
Author(s):  
Xin Ai Song ◽  
Tian Shi Liu ◽  
Liu Mei Zhang
Keyword(s):  
System Architecture ◽  
Layer Structure ◽  
Database System ◽  
Transmission Efficiency ◽  
Sensor Nodes ◽  
Intelligent Materials ◽  
Communication Mechanism ◽  
Design Ideas ◽  
Surveillance Area

In intelligence materials system, sensor nodes may typically scattered around the targeted surveillance area. Therefore, all nodes within such network are responsible for collect and route data from sensors to receivers. Along with the development of intelligent materials databases, communication speed and efficiency may strongly affect the performance of distributed multi-database system. This paper firstly introduces a p2p distributed multi-database system architecture and its characteristics, moreover explains the node communication mechanism. Secondly, it proposes a protocol with its 4-layer structure and respectively explains the layer design ideas and functionalities. Finally, by analyzing the transmission efficiency and speed, the paper proposes the practicability and validity of protocol.

scholarly journals CASE STUDY OF TRADITIONAL RDBMS AND NOSQL DATABASE SYSTEM

2019 ◽  
Vol 7 (7) ◽  
pp. 351-359
Author(s):  
Yashraj Sharma ◽  
Yashasvi Sharma
Keyword(s):  
Relational Database ◽  
System Architecture ◽  
Relational Databases ◽  
Database System ◽  
Database Management System ◽  
Nosql Databases ◽  
Advantages And Disadvantages ◽  
Relational Database System ◽  
Big Data Applications ◽  
Nosql Database

On the basis of reliability, rational models are useful but not in terms of systems which involve huge amount of data; in such cases, non-relational models are much more useful. To store large chunks of data, NoSQL databases are used. NoSQL databases are scalable and wide ranged because they are non-relationally distributed. In relational databases, it was not possible to manage data which involved very large number of Big Data applications hence the concept of NoSQL database was introduced. There are a lot of advantages of NoSQL which not only involve its own features but also some features of relational database management system. The severe benefit of NoSQL database is that it is an open source system which helps to adapt many numbers of features for newly generated applications. This paper is focused on understanding the concepts of non-relational database system architecture with relational database system architecture and figure out the advantages and disadvantages of both simultaneously.

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