Survey of Distributed Computing Frameworks for Supporting Big Data Analysis

Distributed computing frameworks are the fundamental component of distributed systems. They provide an essential way to support efficient processing big data on clusters or cloud. The size increases at a pace that is faster than increase in capacity clusters. Thus, based MapReduce model not adequate analysis tasks which often require running complex analytical algorithms extremely sets terabytes. In performing such tasks, these face three challenges: computational inefficiency due high I/O and communication costs, non-scalability memory limit, limited because many serial cannot be implemented programming model. New need developed conquer challenges. this paper, we review MapReduce-type currently used handling discuss their problems when conducting analysis. addition, present non-MapReduce framework has potential overcome