Replication Data Concepts For Distributed Database Systems

Indian Scientific Journal Of Research In Engineering And Management, 2024

In both Distributed and Real Time Databases Systems replication are interesting areas for the new researchers. In this paper, we provide an overview to compare replication techniques available for these database systems. Data consistency and scalability are the issues that are considered in this paper. Those issues are maintaining consistency between the actual state of the real-time object of the external environment and its images as reflected by all its replicas distributed over multiple nodes. We discuss a frame to create a replicated real-time database and preserve all timing constrains. In order to enlarge the idea for modelling a large scale database, we present a general outline that consider improving the Data consistency and scalability by using and accessible algorithm applied on the both database, with the goal to lower the degree of replication enables segments to have individual degrees of replication with the purpose of avoiding extreme resource usage, which all together contribute in solving the scalability problem for Distributed Real Time Database Systems.

Issues

Abstract— In both Distributed and Real Time Databases Systems replication are interesting areas for the new researchers. In this paper, we provide an overview to compare replication techniques available for these database systems. Data consistency and scalability are the issues that ...

2009

There are many issues that affect modeling and designing real-time databases. One of those issues is maintaining consistency between the actual state of the real-time object of the external environment and its images as reflected by all its replicas distributed over multiple nodes. The need to improve the scalability is another important issue. In this paper, we present a general framework to design a replicated real-time database for small to medium scale systems and maintain all timing constrains. In order to extend the idea for modeling a large scale database, we present a general outline that consider improving the scalability by using an existing static segmentation algorithm applied on the whole database, with the intent to lower the degree of replication, enables segments to have individual degrees of replication with the purpose of avoiding excessive resource usage, which all together contribute in solving the scalability problem for DRTDBS.

2008

Data replication is often used in distributed database systems to improve both fault tolerance and performance purposes. However, such systems must ensure replicas consistency. In this paper, we discuss the contributions of data replication in distributed real-time database systems (DRTDBS) and we then present RT-RCP, a replication control protocol we designed for DRTDBS. We introduce a new entity called List of available copies(LAC) which is a list related to each data item in the database. A LAC of a data item contains all or a part of references of its updated replicas. This allows the database to have a dynamic level of replication.

Ensuring data consistency during replication is a critical research issue in a distributed system. Guaranteeing that data replicacontinues to maintain its original status and its consistency while being copied into the distributed system is still an emerging challenge. As a result of this there is an increase in risk operational disruptions in distributed databases, financial losses in database distribution, legal issues in data consistency, passivity penalties and reputational damages to the database. Maintaining the accuracy and consistency of data over its entire life-cycle is another challenge in a distributed computing environment, this prompts intruders to temper and modify data in an invisible manner without permission of its true user thereby leading to data breach and inconsistency. The new model uses Hadoop model in connection with database to create large space memory location that handles all the bulk of unstructured data in the distributed computing environment. The evaluation parameter was taken based on the efficiency of the processing speed, data consistency, memory space and data integrity. The efficiency was recorded in percentages (%).It was observed that the proposed model performed better and achieved more data consistency in the distributed database environment as the efficiency level generateda75 % accuracy.

Database and Expert Systems …, 1996

In this paper we investigate the performance issues of data replication in a loosely coupled distributed database system, where a set of database servers are connected via a network. A database replication scheme, Replication with Divergence, which allows some degree of divergence between the primary and the secondary copies of the same data object, is compared to other two schemes that, respectively, disallows replication and maintains all replicated copies consistent at all times. The impact of some tunable factors, such as cache size and the update propagation probability, on the performance of Replication with Divergence is also investigated. These results shed light on the performance issues that were not addressed in previous studies on replication of distributed database systems.

19Th Ieee International Parallel and Distributed Processing Symposium, 2005

We introduce the continuous convergence protocol for handling locally committed and possibly concurrent updates to replicated data objects in distributed real-time databases. The protocol is designed for systems where replicated database objects are used to share data between collaborating real-time applications. We define the properties of the protocol, and describe how it can be implemented using data structures such as version vectors and conflict sets. We also show how applications can exploit the protocol's properties, and how the protocol supports forward resolution of update conflicts.

2011

The necessity of ever-increasing use of distributed data in computer networks is obvious for all. One technique that is performed on the distributed data for increasing of efficiency and reliablity is data rplication. In this paper, after introducing this technique and its advantages, we will examine some dynamic data replication. We will examine their characteristies for some overus scenario and the we will propose some suggestion for their improvement.

Proceedings 20th IEEE International Conference on Distributed Computing Systems, 2000

Replication is an area of interest to both distributed systems and databases. The solutions developed from these two perspectives are conceptually similar but differ in many aspects: model, assumptions, mechanisms, guarantees provided, and implementation. In this paper, we provide an abstract and "neutral" framework to compare replication techniques from both communities in spite of the many subtle differences. The framework has been designed to emphasize the role played by different mechanisms and to facilitate comparisons. With this, it is possible to get a functional comparison of many ideas that is valuable for both didactic and practical purposes. The paper describes the replication techniques used in both communities, compares them, and points out ways in which they can be integrated to arrive to better, more robust replication protocols.

International Journal of Modern Education and Computer Science, 2013

In this paper, the detailed overview of the database replication is presented. Thereafter, PDDRA (Pre-fetching based dynamic data replication algorithm) algorithm as recently published is detailed. In this algorithm, further, modifications are suggested to minimize the delay in data replication. Finally a mathematical framework is presented to evaluate mean waiting time before a data can be replicated on the requested site.