![]() ![]() |
Diversified
Data Systems
|
||||
|
|
|||||
|
|||||
|
WonderConnect™ WonderConnect is a distributed computing technology that allows you to divide application processing between multiple machines for optimal performance. WonderConnect is, literally, a runtime server, handling client requests to start new WonderRun runtimes on server machines. WonderConnect allows you to run programs on server 1 one day and server 2 the next, without changing the application programs at all. WonderConnect is particularly useful for directing database-intensive applications to run on the database server, reducing network overhead and improving performance. Functions such as reports, lengthy filtered queries, batch updates, and similar functions are ideal for server execution. WonderConnect lets you distribute your application processing where it is most efficient. You can perform most of your processing on the client (in a "fat" client arrangement), most on the server (in a "thin" client arrangement), or divide the processing any way you require. WonderConnect allows you to offload batch processes from the client to the server. WonderConnect allows you to extend the life of older computing equipment by distributing computing loads to newer server components. WonderConnect reduces network traffic, especially for I/O intensive applications. WonderConnect allows you to run our programs on the fastest machines available or the machines that would make the best use of resources. This improves response time and extends the life of older equipment. WonderConnect supports both synchronous and asynchronous operation. In asynchronous operations, the task is launched on the server and the client task continues while the server task executes. This allows a user to start a lengthy report on the server and resume other tasks while the report is being generated. WonderConnect provides access to remote data and objects in any TCP/IP network, including the Internet. WonderConnect can work in tandem with WonderServer and Wonder4GL to provide transparent access to data in VISION or RDBMSs respectively.
|
|||||