A REAL-TIME APPROACH TO TRANSACTION MANAGEMENT IN HETEROGENEOUS DISTRIBUTED REPLICATED DATABASE SYSTEMS

Author(s):  
А.Д. Данилов ◽  
Д.С. Синюков

В работе транзакции рассматриваются в виде гетерогенных файлов от пользователей в качестве входных данных и эффективно развертываются в облачной системе хранения данных и в гетерогенных системах баз данных в качестве выходных данных. In this paper, transactions are considered as heterogeneous files from users as input data and are effectively deployed in a cloud storage system and in heterogeneous database systems as output data.

1993 ◽  
Vol 02 (01) ◽  
pp. 51-83 ◽  
Author(s):  
JOACHIM HAMMER ◽  
DENNIS McLEOD

An approach to accommodating semantic heterogeneity in a federation of interoperable, autonomous, heterogeneous databases is presented. A mechanism is described for identifying and resolving semantic heterogeneity while at the same time honoring the autonomy of the database components that participate in the federation. A minimal, common data model is introduced as the basis for describing sharable information, and a three-pronged facility for determining the relationships between information units (objects) is developed. Our approach serves as a basis for the sharing of related concepts through (partial) schema unification without the need for a global view of the data that is stored in the different components. The mechanism presented here can be seen in contrast with more traditional approaches such as “integrated databases” or “distributed databases”. An experimental prototype implementation has been constructed within the framework of the Remote-Exchange experimental system.


2020 ◽  
Vol 17 (9) ◽  
pp. 3979-3982
Author(s):  
N. Harish Kumar ◽  
G. Deepak

Internet of Things has been increasing its usage and recognition in vast sectors like Defence, Business, Industries, and Hospitals. The data disruption is strictly unacceptable in a number of these sectors because it could end up in serious Loss or Damages to the entire system. As of now, IOT is using a central cloud storage system for information storage and transactions. However, some examples already verified that Central cloud storage information might be hacked and changed by the specialists. This paper presents an IoT system having localized block chain storage which works on real time data and manipulates with narrowness of data interruption and modification and its recovery.


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