Abstract: Due to the rapid increase in network services per network node, the need for high throughput infrastructure is growing. Throughput and latency are two important criteria that need to be considered while working on Real Time Embedded Systems. With the advent of Real Time Operating systems, low latency can be achieved, but sometimes at the cost of performance. The situation becomes complex if the system has a networking termination application in the user-space operating with the kernel space driver. The paper presents how changes in Real Time Linux impose complexity in a network application both in kernel and user space. This paper also discusses ideas to identify problems and fixes available using Linux debugging tools. This paper concludes by sharing performance improvement data achieved in a user space networking application

• Publication Date: 03-Feb-2020
• DOI: 10.15224/978-981-07-1403-1-235
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Abstract: Many organizations owns billions of bytes data but may suffer from problem to access and analyze data. In order to solve this problem new concept and tools have evolved into a new information technology called data warehousing. A Data Warehouse is a collection of technologies aimed at enabling the knowledge worker to make better and faster decisions. Data warehouse is designed by using data models which act as a blueprint for the information requirements of an organization. Without a data model, the understanding, implementation and maintenance of the data warehouse are difficult. There are three levels of abstractions in the data modeling i.e. conceptual, logical and physical. Here in this paper we will create these data models and map one model from the earlier model which greatly helps in designing a data warehouse.

• Publication Date: 03-Jun-2011
• DOI: 10.15224/978-981-07-1847-3-1027
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