A MapReduce Approach to Automatic Key File Updates for SPT (Squeeze, Pack and Transfer) Algorithm

SPT algorithm helps in reducing network congestion by using loseless compression methodology. It helps in improving network usage by efficiently utilizing the available network resources and reducing size of dataset by using inbuilt compression algorithm. This paper epitomizes the use of MapReduce for finding out symmetrical binary keys for SPT (Squeeze Pack and Transfer) algorithm from various data files available on public cloud domains. This paper describes the use of MapReduce functionality which can help in finding out best contender keys for creating generic binary key file for the SPT algorithm which is used for binary compression. This paper discusses the manipulation of MapReduce for creating an automated system which can extract regular binary patterns from data files available on public cloud domain and inculcating them in generic key file which can be used for compressing and decompressing files with the help of the SPT algorithm. It can not only eliminate the manual generation of the keys for SPT algorithm but also it helps in reducing the time required for creation and updates of the key files.