Dynamic Environment and Snowflake Schema in Real Time Data Services

Dynamic Environment and Snowflake Schema in Real Time Data Services

The demand for real-time data service is increasing in many applications such as e-commerce, agile manufacturing, telecommunications, network management and transportation management. It is desirable but challenging, the workload may vary dynamically. In this paper we propose an approach for managing the dynamic environment using snowflake schema for real time database, that the dynamic environ...

Why is the snowflake schema a good data warehouse design?

Database design for data warehouses is based on the notion of the snowflake schema and its important special case, the star schema. The snowflake schema represents a dimensional model which is composed of a central fact table and a set of constituent dimension tables which can be further broken up into subdimension tables. We formalise the concept of a snowflake schema in terms of an acyclic da...

A Survey of Dynamic Replication Strategies for Improving Response Time in Data Grid Environment

Large-scale data management is a critical problem in a distributed system such as cloud,P2P system, World Wide Web (WWW), and Data Grid. One of the effective solutions is data replicationtechnique, which efficiently reduces the cost of communication and improves the data reliability andresponse time. Various replication methods can be proposed depending on when, where, and howreplicas are gener...

Dynamic-Data-Driven Real-Time Computational Mechanics Environment

The proliferation of sensor networks in various areas of technology has enabled real-time behavioral monitoring of various physical systems in various length and time scales. The opportunity to use these data dynamically for improving speed, accuracy, and general performance of predictive behavior modeling simulation is of paramount importance. The present paper identifies enabling modeling met...

Data Structures in a Real-Time Environment