Dynamic management of transactions in distributed real-time processing system

TL;DR

This paper addresses the challenges of managing transactions in distributed real-time systems, proposing a dynamic approach to improve performance and meet deadlines under various workloads and conditions.

Contribution

It introduces a novel dynamic transaction management method that adapts to system conditions, outperforming static parameter approaches in real-time distributed environments.

Findings

Significant improvement in transaction deadline adherence

Enhanced performance under diverse workloads

Effective dynamic management surpassing static methods

Abstract

Managing the transactions in real time distributed computing system is not easy, as it has heterogeneously networked computers to solve a single problem. If a transaction runs across some different sites, it may commit at some sites and may failure at another site, leading to an inconsistent transaction. The complexity is increase in real time applications by placing deadlines on the response time of the database system and transactions processing. Such a system needs to process Transactions before these deadlines expired. A series of simulation study have been performed to analyze the performance under different transaction management under conditions such as different workloads, distribution methods, execution mode-distribution and parallel etc. The scheduling of data accesses are done in order to meet their deadlines and to minimize the number of transactions that missed deadlines. A new concept is introduced to manage the transactions in dynamic ways rather than setting computing parameters in static ways. With this approach, the system gives a significant improvement in performance.