Multi-process batch processing platform
Product introduction
With the continual and rapid improvements in the processing power of CPU and storage capacities of hardware devices, many application developer systems have not fully utilize the computer systems’ improved processing capabilities, and in many cases, the operation of application software is manually carried out according to business process flow; or only a single work order is being processed, leading to underutilization of the current multi-CPU hardware system, which causes work delays when it comes to processing large amounts of data.
There is no need to modify the existing application softwares to fully utilize the hardware capacities. IPACS is one of the earliest company in China to develop multi-CPU, batch-processing, multi-platform control system, which is currently operating in IBM POWER (iSeries, pSeries, xSeries), HP and Sun, X86 server hardware platform; this fully utilize the high-performance and multi-tasking functions of multi-CPU systems; able to process large amounts of data across multi-processes simultaneously, and hence complete a task in a much shorter time as before. The current product series is an outcome of after nearly 10 years of service optimization and upgrading, and is widely used in banks, securities registration and settlement, fund settlements, power & utilities and other industries that require large amount of data processing in a short time.
Product features
i-RTPP runs on IBM POWER, HP and other mainstream x86 servers. It significantly improves applications’ multi-threads parallel data processing ability; fully utilizes the server’s hardware and software resources; and widely supports various main-stream open operating systems such as AIX, HP-Unix, Salories, iOS and various versions of Linux and database systems such as Oracle, DB2 and Sybase. By taking the advantage of the open features of the main-stream open operating systems and database software, Quick Pro has a relatively short implementation period and high ROI.
System components and system feature
● Flexible parameter configuration
All jobs, job dependencies and job parameters can be defined according to the configuration of customer’s application, which greatly facilitates system maintenance.
Operating parameter definition module
Operating control module
Operating status query module
Operating interface miscellaneous function module
● Flexible job dependency relationship
Flexible job dependency configuration, which includes execution of sequential operations on success, execution of sequential operations on failure and ‘AND/OR’ logic relationship, enables flexible jobs processes.
● Real time monitoring
Job running status can be monitored real time on the client computer; questionable jobs are reflected in a timely manner for immediate troubleshooting. The monitoring module also provides functions such as statistics and sequential relationship query.
● Job operation cycle control
By defining job operation cycle, jobs can be scheduled to run periodically. Cycle definition is content-rich and can be expanded as needed. Predefined Cycle parameters such as Daily, weekly, every ten days, monthly, quarterly, every six months and yearly are supported currently and the execution time can be appoint at the beginning or the end of the designated cycle period or at a specific date.
● Job group definition helps allocating system resources reasonably
● Exception handling
System can be halted through forced close function on exceptions. When node processing job throws an exception, system can save precious time by restart the very job node and its succeeding job without restarting the entire process.
Benefits
i-RTPP has the advantage of no customer application dependency, convenient implementation, minimum modifications to customer application, short implementation period and low implementation risk.
IPACS can provide professional analysis on customer application system, track down customer system problems, and propose reasonable improvement recommendations for better hardware and software resources utilization.
