Creating a Client-Server Database System with Windows 95 and Linux
About half a year ago, we began a project called NORA to develop an information system for a private dental clinic in Hong Kong. The basic requirement was that the clinical information, including patient folders, appointment books, laboratory work, etc., could be retrieved and edited by any client PC in the clinic. In addition, the users hoped they could access the data from another clinic using the same system. The system is now in beta testing. We gained some valuable experience during this project, which may be useful for someone wishing to develop a similar system, especially for small- to medium-sized businesses.
We established the following requirements:
a client-server database system
multi-site (de-centralized)
connectivity between LANs on demand
dial-up service
Windows 95 client
Big5 Character set support
low transaction rate
portability
Since the system would be needed by several users (a dentist and nurses) at the same time, a client-server system is expected. The users do not know much about computers, but they do know Microsoft. They insist on using Windows 95 as the operating system of the client PC, so that they can use their favorite office suite with the same machine. For the server part, they have no preference, so we could decide. We considered both Windows NT and Linux. After considering the stability, ease of installation, cost, flexibility and the requirements listed above, we chose Linux. We think we made the right choice; otherwise, the other system requirements could not be easily fulfilled.
The system is used by a group of several clinics. Users wished to retrieve and update all data easily from any clinic. We considered implementing the system on a single big server, with all clinics connected to it by telephone line or ISDN. However, we found that not only are the communication costs and efficiency worse than the decentralized system (i.e., each clinic has its own server), but also much work would be necessary if another clinic joined the centralized system, since the data in both databases would need to be merged.
As we chose to have one server in each clinic, the connections between clinics should be made on demand, i.e., the connection should be established only when needed. We could install a modem for each client, so that one could dial the server of another clinic to access the data independently. However, this is not an effective method, since every client machine would need a modem and telephone line, and most of the time they are idle. We proposed that the connection be established by the servers, and the clients access the data at another clinic through the servers on demand.
We tried to use diald (dial daemon) on Linux to provide this function. However, most of the documentation on diald assumes the user is using it on a stand-alone workstation or to dial an ISP to access the Internet. The consequence is that the connection is not two-way, i.e., the machine on the Internet cannot access the local workstations. Moreover, the configuration in the document did not consider having dial-in service on the same machine, and the two kinds of service may or may not be compatible.
We found a way to configure diald and dial-in service on Linux harmoniously. Thus, all machines in one clinic can access the database server in another clinic based on dial-on-demand, while the machines in the other clinic can access the database in the first clinic at the same time.
Dial-in service is needed for the dial-in request from the server in another clinic to connect the two LANs. Moreover, the users want to access the data, even when they are at home, by a stand-alone Windows 95 workstation with a modem.
As mentioned above, the users insist on using Windows 95 as their front end. Finding proper method for connecting the client software in Windows 95 to display the data in the Linux server was a problem. This is because some of the database servers for Linux do not provide this feature.
Another constraint for the server is that it must support Big5 characters, since most of the patients use their Chinese name and address for registration. This almost forces us to the final choice of database server, the MySQL server.
We estimated the transaction rate of the system server and found it should be relatively low, about ten SQL executions per minute in the peak period. We think this property is common for small- to medium-sized business applications, so the loading performance of the database server is not crucial.
Finally, we always kept portability in mind. Even though the client software is implemented on Windows 95, we hope to port it to another platform in the future.
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
Built-in forensics, incident response, and security with Red Hat Enterprise Linux 6
Every security policy provides guidance and requirements for ensuring adequate protection of information and data, as well as high-level technical and administrative security requirements for a system in a given environment. Traditionally, providing security for a system focuses on the confidentiality of the information on it. However, protecting the data integrity and system and data availability is just as important. For example, when processing United States intelligence information, there are three attributes that require protection: confidentiality, integrity, and availability.
Learn more about catching the bad guy in this free white paper.
Sponsored by DLT Solutions
| Designing Electronics with Linux | May 22, 2013 |
| Dynamic DNS—an Object Lesson in Problem Solving | May 21, 2013 |
| Using Salt Stack and Vagrant for Drupal Development | May 20, 2013 |
| Making Linux and Android Get Along (It's Not as Hard as It Sounds) | May 16, 2013 |
| Drupal Is a Framework: Why Everyone Needs to Understand This | May 15, 2013 |
| Home, My Backup Data Center | May 13, 2013 |
- Designing Electronics with Linux
- New Products
- Making Linux and Android Get Along (It's Not as Hard as It Sounds)
- Dynamic DNS—an Object Lesson in Problem Solving
- Linux Systems Administrator
- Senior Perl Developer
- Technical Support Rep
- UX Designer
- Web & UI Developer (JavaScript & j Query)
- Using Salt Stack and Vagrant for Drupal Development
Enter to Win an Adafruit Pi Cobbler Breakout Kit for Raspberry Pi

It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
- 5-8-13, Pi Starter Pack: Jack Davis
- 5-15-13, Pi Model B 512MB RAM: Patrick Dunn
- 5-21-13, Prototyping Pi Plate Kit: Philip Kirby
- Next winner announced on 5-27-13!
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?




2 hours 26 min ago
3 hours 26 sec ago
3 hours 58 min ago
4 hours 49 min ago
8 hours 51 min ago
12 hours 38 min ago
12 hours 46 min ago
15 hours 58 sec ago
17 hours 30 min ago
1 day 3 hours ago