Parallel searches in large databases with the MPI In cloud computing

In recent decades, the growing information and communication technology is the development and expansion and have a wealth of information in today s large organization. One of the major challenges to overcome complexity mass with low cost and time that would need to meet stakeholders and cover two important security parameter and time-saving, is the total solution cloud computing. In this paper, it can be used the standard MPI to increase efficiency and reduce the paging to disk in sake of doing faster execution of parallel search in the cloud computing (large database). To search in database, the master / worker was used so that the database is divided into several parts and masters are responsible for division of responsibility between workers and also get results and part of them. One of the reasons in the distribution of the database into smaller pieces is that speed is important in large databases and therefore acts faster than single processor. Finally by colored Petri nets and tools CPN tools productivity and throughput in the context of MPI is shown In the Giga study large database (database of identification).

کلیدواژه ها:

cloud computing ، MPI ، colored Petri networks ، master / worker ، parallel search