Differential processing mechanism for spark-based graph computing background

Abstract

A Resilient Distributed Dataset (RDD) processing method, system, and computer program product include sending a differential portion of a message from a receiver to a sender along with information of a global identifier of an RDD and differential values after matching incoming message.

What is claimed is: 
     
         1 . A computer-implemented Resilient Distributed Dataset (RDD) processing method on a cluster environment, the method comprising:
 sending a differential portion of a message from a receiver to a sender along with information of a global identifier of an RDD and differential values after matching incoming message.   
     
     
         2 . A computer program product for Resilient Distributed Dataset (RDD) processing on a cluster environment, the computer program product comprising a non-transitory computer-readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform:
 sending a differential portion of a message from a receiver to a sender along with information of a global identifier of an RDD and differential values after matching incoming message.   
     
     
         3 . Resilient Distributed Dataset (RDD) processing system on a cluster environment, said system comprising:
 a processor; and   a memory, the memory storing instructions to cause the processor to perform:
 sending a differential portion of a message from a receiver to a sender along with information of a global identifier of an RDD and differential values after matching incoming message.