scholarly journals A Heterogeneous Distributed Computing Model Based on Web Service

CONVERTER ◽  
2021 ◽  
pp. 100-106
Author(s):  
Haitao Li
Keyword(s):  
Distributed Computing ◽  
Web Service ◽  
Distributed Database ◽  
Transaction Processing ◽  
Database System ◽  
Heterogeneous Database ◽  
Two Phase ◽  
Cross Platform ◽  
Heterogeneous Distributed Computing ◽  
Distributed Database System

Based on the in-depth study of the existing database synchronization model, in order to improve the cross platform ability of the system and facilitate the construction of small and medium-sized enterprise information platform, this paper proposes a heterogeneous distributed computing scheme based on Web service. The scheme uses JMS to realize the message transmission between systems, and uses web service technology to realize cross platform data reading and writing. In the aspect of distributed transaction processing, the two-phase commit protocol is improved to reduce the probability of system deadlock and effectively ensure the consistency of distributed database data. In order to improve the performance of distributed database system, cache technology is introduced, and the way of integrating cache and database transaction processing is proposed, which effectively ensures the validity of cache data. The architecture is oriented to program developers, who can develop efficient and convenient distributed database system on the basis of this architecture. Finally, this architecture is applied to the background management system of mobile express service. The running results show that the architecture can well meet the business requirements of distributed heterogeneous database system synchronization.

scholarly journals LIFT- A Linear Two-Phase Commit Protocol

2019 ◽  
Author(s):  
Aman Kumar Pandey ◽  
Sarvesh Pandey ◽  
Udai Shanker
Keyword(s):  
Recovery Process ◽  
Distributed Database ◽  
Database System ◽  
Two Phase ◽  
Recovery Mechanism ◽  
Linear Version ◽  
Distributed Database System ◽  
Performance Results ◽  
Transaction Commit ◽  
Message Overhead

Two phase commit (2PC) protocol is used to coordinate transaction commitment in distributed database system. The 2PC protocol is further classified into linear and centralized versions. The linear version of 2PC i.e. L-2PC protocol runs serially whereas in the centralized version, the commit process allows every site involved in executing the transaction to prepare and commit in parallel. In past, very little efforts have been made to overcome the unfavourable message overhead, poor recovery process and some other problems associated with L-2PC protocol. This paper proposes a Linear and Fast-paced recovery centred Transaction commit (LIFT) protocol to improve the existing recovery mechanism of linear 2PC by allowing autonomy to the participating cohorts to inform the cohort-in-doubt about the distributed transaction’s state instead of always looking for coordinator’s stand. The performance results confirm that proposed protocol will be a better alternative.

scholarly journals A 6-DIMENSIONAL HILBERT APPROACH TO INDEX FULL WAVEFORM LiDAR DATA IN A DISTRIBUTED COMPUTING ENVIRONMENT

2018 ◽  
Vol XLII-4 ◽  
pp. 671-678 ◽  
Author(s):  
A. V. Vo ◽  
N. Chauhan ◽  
D. F. Laefer ◽  
M. Bertolotto
Keyword(s):  
Distributed Computing ◽  
Laser Scanning ◽  
Experimental Tests ◽  
Point Clouds ◽  
Distributed Database ◽  
Database System ◽  
Computing Environment ◽  
Full Waveform ◽  
Distributed Database System ◽  
Fine Resolution

<p><strong>Abstract.</strong> Laser scanning data are increasingly available across the globe. To maximize the data's usability requires proper storage and indexing. While significant research has been invested in developing storage and indexing solutions for laser scanning point clouds (i.e. using the discrete form of the data), little attention has been paid to developing equivalent solutions for full waveform (FWF) laser scanning data, especially in a distributed computing environment. Given the growing availability of FWF sensors and datasets, FWF data management solutions are increasingly needed. This paper presents an attempt towards establishing a scalable solution for handling large FWF datasets by introducing the distributed computing solution for FWF data. The work involves a FWF database built atop HBase &amp;ndash; the distributed database system running on Hadoop commodity clusters. By combining a 6-dimensional (6D) Hilbert spatial code and a temporal index into a compound indexing key, the database system is capable of supporting multiple spatial, temporal, and spatio-temporal queries. Such queries are important for FWF data exploration and dissemination. The proposed spatial decomposition at a fine resolution of 0.05<span class="thinspace"></span>m allows the storage of each LiDAR FWF measurement (i.e. pulse, waves, and points) on a single row of the database, thereby providing the full capabilities to add, modify, and remove each measurement record anatomically. While the feasibility and capabilities of the 6D Hilbert solution are evident, the Hilbert decomposition is not due to the complications from the combination of the data’s high dimensionality, fine resolution, and large spatial extent. These factors lead to a complex set of both attractive attributes and limitation in the proposed solution, which are described in this paper based on experimental tests using a 1.1 billion pulse LiDAR scan of a portion of Dublin, Ireland.</p>

Design and implementation of a heterogeneous distributed database system

1990 ◽  
Vol 5 (4) ◽  
pp. 363-373
Author(s):  
Zhiquan Jin ◽  
Chengfei Liu ◽  
Zhongxiu Sun ◽  
Xiaofang Zhou ◽  
Peipei Chen ◽  
...  
Keyword(s):  
Distributed Database ◽  
Database System ◽  
Design And Implementation ◽  
Distributed Database System
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