Web service management based on Hadoop

To solve the disadvantage that huge amount of web service impose on, web service management framework based on Hadoop environment is proposed. In this framework, Hadoop Distributed File System (HDFS) function as a foundation for supporting the HBase and MapReduce. The HBase is assigned to manage the functional and non-functional properties extracted from web service advertisement. To accurately and quickly find the satisfied web service, the HBase table based on request interface is established. In addition, the non-functional property index mechanism based on quality of service (QoS) tree is also designed for further enhancing the performance of nonfunctional property retrieval. To satisfy the user's complex requirement, the searching optimal solution in all possible paths which depends on MapReduce is proposed. The results of the extensive experiment show that this framework is more suitable for large-scale web service management. The proposed algorithm provides better performance.