ABSTRACT
The needs of real-time software require the use of one or more synchronous programming languages, real-time operating systems, and real-time networks which provide the essential frameworks on which to build a real-time software application.
Few technologies can help improve business responsiveness as dramatically as real time processing of event data. By implementing real time processing solutions to monitor streaming data as it enters your organization, you can identify new opportunities earlier, ward off threats more effectively, and respond to changing business conditions with greater speed and efficiency. Real time processing applications can monitor data from a variety of event streams, analyze it for patterns or relationships, and respond within milliseconds when a pattern of interest is identified. With real time processing technology, your systems and business processes can respond much more quickly to evolving business conditions and customer interactions—ensuring improved operational responsiveness management.
TABLE OF CONTENTS
CERTIFICATION PAGE
DEDICATION
ACKNOWLEDGEMENT
ABSTRACT
CHAPTER ONE
1.1STATEMENT OF PROBLEM
1.2PURPOSE OF STUDY
1.3IMPORTANCE OF STUDY
1.4DEFINITION OF TERMS
1.5ASSUMPTION OF STUDY
CHAPTER TWO
2.0 LITERETURE REVIEW
2.1 HISTORY OF THE BATCH PROCESSING
2.2 HOW REAL-TIME PROCESSING WORKS
CHAPTER THREE
3.0 COMMON BATCH PROCESSING USAGE
3.1 DATA PROCESSING
3.2 DATABASES
3.3 IMAGES
3.4 CONVERTING
3.5 NOTABLE BATCH SCHEDULING AND EXECUTION ENVIRONMENTS
3.6 REAL-TIME IN DIGITAL SIGNAL PROCESSING
3.7 REAL-TIME AND HIGH-PERFORMANCE
CHAPTER FOUR
4.0 MERITS OF USING BATCH PROCESSING
4.1 DEMERITS OF THE BATCH PROCESSING
4.2 MERITS OF THE REAL TIME PROCESSING
4.3 DEMERITS OF THE REAL TIME PROCESSING
CHAPTER FIVE: CONCLUSION
5.1LIMITATION OF STUDY
5.2SUGGESTION FOR FURTHER RESEARCH
5.3 REFERENCES