System, method, and computer program product for optimization and acceleration of data transport and processing

Abstract

A system, method, and computer program product for optimization and acceleration of data transport and processing in a communication system or computer network. The system comprises one or more client devices each running a client application module, one or more communication server modules, a launcher module, and a controller module for initiating system modules, allocating system resources, and monitoring system operation. The system also includes a management console module for performing administrative functions of the system. The client device and communication server module are adapted to communicate through wired and wireless means in a computer network or communications system. A client application module is the means through which data, such as data to be stored in a database system or data representing a data retrieval request from a database system, is translated from its original format into an accelerated transport protocol (ATP) format for optimized and accelerated transport to a communication server module. A client application module also receives reply data from a communication server module and translates the received data from ATP format back to its original format. A communication server module performs the functions of receiving client transaction request data from a client application and sending reply data to a client application. A communication server module also performs the functions of translating the data received from a client application from ATP format back to its original format, and translating data to be sent to a client application into ATP format. The controller module is responsible for creating the interface between the communication server modules and the launcher module, which involves the creation of processing queues. The launcher module manages the processing of client transactions by launching and controlling agents that process the client transactions by retrieving data from processing queues and processing the transactions. Results data from an agent after processing of a transaction is sent to the processing queue for transport to a client application.

Description

CROSS REFERENCE TO RELATED APPLICATION [0001] This application claims the benefit of the earlier filing dates of, and contains subject matter related to that disclosed in: (1) U.S. Provisional Application Ser. No. 60 / 231,802, filed Sep. 11, 2000; and (2) U.S. Provisional Application Ser. No. 60 / 275,154, filed Mar. 12, 2001, each having common inventorship, the entire contents of each being incorporated herein by reference.COPYRIGHT NOTIFICATION [0002] Portions of this patent application contain materials that are subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document, or the patent disclosure, as it appears in the Patent and Trademark Office. BACKGROUND OF THE INVENTION [0003] 1. Field of the Invention [0004] The present invention relates, generally, to computer networks and communication systems and, more particularly, to the transport and processing of data in computer networks and communication systems....

AI Technical Summary

Benefits of technology

This approach significantly enhances data transmission speed, reliability, and security, improving end-to-end response times, and allowing for scalable, flexible, and efficient use of bandwidth across wired and wireless networks.

Problems solved by technology

Moreover, the increased functionality and robustness of today's systems and applications, and continued demand for additional features and functionality, as well as the lack of uniform standards adopted and implemented by the divergent devices, applications, systems, and components communicating in operation of such systems and applications have led to significant deterioration in these critical performance factors—i.e., speed / end-to-end response times, reliability, and security.

Such solutions, however, have inherent limitations in the performance increases possible.

Most notably, the typical “bottlenecks” leading to limitations in data transport and processing speeds in computer networks and communication systems are not the hardware being utilized, but the software and, more particularly, the software architecture driving the transport and processing of data from end point to end point.

Traditional transport software implementations suffer from design flaws, lack of standardization and compatibility across platforms, networks, and systems, as well as the utilization and transport of unnecessary overhead, such as control data and communication protocol layers.

These drawbacks are due, in large part, to a lack of industry agreement on a universal protocol or language to be used in the overall process of transporting data between a message source and a message destination.

As a consequence of this lack of a universal protocol or language, numerous and varying protocols and languages have been, and continue to be, adopted and used resulting in significant additional overhead, complexity, and a lack of standardization and compatibility across platforms, networks, and systems.

Moreover, this diversity in protocols and languages, and lack of a universal language beyond the transport layer, forces the actual data being transported to be saddled with significant additional data to allow for translation as transmission of the data occurs through these various layers in the communication stack.

The use of these numerous and varying protocols and languages such as, for example, HTTP, WAP / WTP / WSP, XML, WML, HTML / SMTP / POP, COM, ADO, HL7, EDI, SOAP, JAVA, JDBC, ODBC, OLE / DB, create and, indeed, require additional layers and additional data for translation and control, adding additional overhead on top of the actual data being transported and complicating system design, deployment, operation, maintenance, and modification.

These deficiencies in such traditional implementations lead to the inefficient utilization of available bandwidth and available processing capacity, and result in unsatisfactory response times. Even a significant upgrade in hardware—e.g., processor power and speed, or transport media and associated hardware—will provide little, if any, increase in system performance from the standpoint of transport speed and processing of data, end-to-end response time, system reliability and security.

With the explosion in the use of web-based protocols, yet another major deficiency has emerged in current implementations as a result of the combination of both transport / communication state processing and application / presentation state processing.

This merging has the effect of increasing transport and application complexity in both the amount of handshaking and the amount of additional protocol data that is required.

As computer networks and communication systems continue to grow, with the addition of more devices, applications, interfaces, components, and systems, the transport and application complexities caused by merging transport / communication state processing and application / presentation state processing will grow to the point that all network and system resources will be exhausted.

Another challenge for the current momentum of the industry is adopting functionality to the emerging wireless communications industry.

The wireless devices used for this industry are small, with limited CPU capacity and limited onboard resources.

The wireless bandwidth currently available to these devices is also very limited and can be of an unstable variety in which the signal is fluctuating.

The industry's future expansion cannot rely on software technologies that exhibit major inefficiency in either processing or bandwidth.

An example of this is in the wireless industry's unsuccessful adoption of web-based technologies.

Early software projects in the wireless industry are producing unacceptable results and a very low level of customer satisfaction.

This is due to the fact that these technologies are currently having functional performance problems because of their higher bandwidth and substantially higher CPU requirements.

The use of these wireless solutions for internal business functions has been limited due, in large part, to an absence of cost effective, real time wireless applications that function with 100% security and reliability.

The momentum of the wireless industry is failing to penetrate most of these markets.

Another challenge for the current momentum of the industry is adopting functionality to legacy or mainframe systems.

Many of the current development efforts in applying these inefficient technologies, such as web-based, into technologies that require high efficiency are producing systems that do not provide adequate reliability or security for performing business critical functions.

These systems are not fast enough to perform functions in real time as they add additional layers of processing that complicate and slow down the business functions.

Therefore, organizations are reluctant to apply these technologies to their mission critical internal business functions.

Three-tier client / server applications are rapidly displacing traditional two-tier applications, especially in large-scale systems involving complex distributed transactions.

The primary problem with the two-tier configuration is that the modules of the system that represent the business logic by applying, for example, business rules, data validation, and other business semantics to the data (i.e., business services) must be implemented on either the client or the server.

When the server implements these modules that represent the business logic (i.e., business services, such as business rules, by using stored procedures), it can become overloaded by having to process both database requests and, for example, the business rules.

This approach prevents the user from modifying the data beyond the constraints of the business, tightening the integrity of the system.

Such systems, designed using a three-tiered architecture and implemented using middleware such as MTS, still suffer from the limitations and drawbacks associated with the software driving the transport and processing of data from end point to end point—i.e., design flaws, increased complexity, lack of standardization and compatibility across platforms, networks, and systems, as well as the utilization and transport of unnecessary overhead, such as control data and communication protocol layers, as discussed above.

Images