Abstract: Big data processing consumes resources at very large scale and its very challenging to manage the memory for each running process. Researchers have developed the some memory management schemes which can synchronize the data flow for each process. Processes use two memories i.e. Main memory which retains only current processing data and cache which retains frequent required data for processes. It is very challenging to replace the cache data with new one because, during the processing of large volume data, process may claim any data block, so due to random block replacement, process may have to wait for a long time which may result unnecessarily delay. In this paper, we will explore the current research work related to cache management.
Keywords: Big Data, cache, memory, resource management