• S. Annapoorani
• Dr. B. Srinivasan

Cloud computing has become increasingly popular model for delivering applications hosted in large data centers. Hadoop is a popular system supporting the MapReduce function, which plays a crucial role in cloud computing. The resources required for executing jobs in a large data centre vary according to the job type. In Hadoop, jobs are scheduled by default on a first-come-first-served basis, which may unbalance resource utilization. In order to achieve that effective job scheduler has to be proposed to balance resource utilization for dynamical task execution with deadline constraints. In this paper, it is carried out due to rapid growth of transaction processing in cloud data storage tends to expand the research work on improving the security level. It composed of three primary methodologies. The conditional attributes are encrypted using the conditional source trust attribute encryption technique along with the bilinear mapping transformation function to improve the security level. The approach employs the distributed computing at scale usually involving hundreds to thousands of machines to facilitate the large-scale data processing. Map reduces model uses different constraints and configuration based on the resources to balanced the data towards increasing the efficiency of the resource clusters in the cloud environment.

Hadoop, MapReduce, encryption, security

"Implementation of Conditional Source Attribute Encryption Technique to Secure Cloud Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.153-159, June 2019, Available :http://www.jetir.org/papers/JETIR1908485.pdf

"Implementation of Conditional Source Attribute Encryption Technique to Secure Cloud Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp153-159, June 2019, Available at : http://www.jetir.org/papers/JETIR1908485.pdf