A performance comparison of scheduling distributed mining in cloud

Indexing play an indispensable role in Search Engine. Indexing empower ease of mining of data and lessen the latency of searching a term in huge documents. In this paper, we propose a methodology to index documents in a parallel - distributed manner. Define Metadata structure of a document for indexing; from the metadata, the occurrence of a word shall be ascertained by document wise, page number and up to Line number. This paper compares the average waiting time and average time of completion of indexing job of the three algorithms ( FIFO [First in First Out], SJF [Shortest Job First] and Lottery Scheduling) in the cloud environment. Later we propose an algorithm to reduce the average waiting time of indexing job. This methodology utilizes benefits of Cloud Computing, Virtualization, NoSQL and Distributed indexing.