2007Unpublished venueRequires access

A Study on Scalability of Middleware Systems

Chunyu Miao, Meilin Shi

Open publisher page 0 citations

Abstract

In the recent years, more and more real applications are embracing the middleware as a vehicle for conveying their data; the issue of efficient and effective interoperation between databases with different storage formats and local geographical locations has been becoming extremely important research topic. A large amount of systems have been developed. In fact, real-world applications of middleware system often require a system to deal with huge amount of data. However, study of scalability for those systems is generally lacking. The main reason is that exploring scalability could be very time consuming and expensive task. In this paper, we present a new approach specifically designed for estimating performance parameters of different middleware systems under different size of data. The comprehensive experimental result based on scientific data and queries demonstrates various kinds of advantages of framework.

About this research paper

What this paper is about

In the recent years, more and more real applications are embracing the middleware as a vehicle for conveying their data; the issue of efficient and effective interoperation between databases with different storage formats and local geographical locations has been becoming extremely important research topic. A large amount of systems have been developed. In fact, real-world applications of middleware system often require a system to deal with huge amount of data. However, study of scalability for those systems is generally lacking. The main reason is that exploring scalability could be very time consuming and expensive task. In this paper, we present a new approach specifically designed for estimating performance parameters of different middleware systems under different size of data. The comprehensive experimental result based on scientific data and queries demonstrates various kinds of advantages of framework.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

In the recent years, more and more real applications are embracing the middleware as a vehicle for conveying their data; the issue of efficient and effective interoperation between databases with different storage formats and local geographical locations has been becoming extremely important research topic. A large amount of systems have been developed. In fact, real-world applications of middleware system often require a system to deal with huge amount of data. However, study of scalability for those systems is generally lacking. The main reason is that exploring scalability could be very time consuming and expensive task. In this paper, we present a new approach specifically designed for estimating performance parameters of different middleware systems under different size of data. The comprehensive experimental result based on scientific data and queries demonstrates various kinds of advantages of framework.

Key concepts: Interoperation, Middleware (distributed applications), Scalability, Computer science, Distributed computing, Task (project management), Database, Interoperability

Related papers

Back to paper searchBrowse research topicsOriginal source
A Study on Scalability of Middleware Systems — Research Paper | ScholarLens