Distributed Large Memory and Message Passing Interface in Cloud Environment using OpenStack Cloud Platform

Distributed large memory offers the use of large virtual memory by using remote memory distributed over nodes in a cluster. The message passing interface (MPI) plays important role in DLM. MPI-based DLM manages the large virtual memory over the cluster using MPI batch queuing system. In Distributed memory system message MPI is important parallel programming. As the number of virtual machines increases MPI and shared memory parallel programming combined to perform efficient communication in virtual machines [1,2]. Various tasks communicate with each other by sharing memory on the different disk through shared memory distributed computing. If various tasks are trying to access same the same memory location for reading and writing purpose, sometimes it may cause deadlock. In this case synchronization mechanism should handle such situation to keep the integrity of the data [2]. MapReduce and Hadoop are having inbuilt functions to handle distributed shared memory mechanism. The distributed computing with MPI can process thousands of parallel processes in cloud environment.