Data Intensive Dynamic Scheduling Model and Algorithm for Cloud Computing Security

Abstract

As cloud is growing immensely, different types of data are getting more and more dynamic in terms of security. Ensuring high level of security for all data in storages is highly expensive and time consuming. Unsecured services on data are also becoming vulnerable for malicious threats and data leakage. The main reason for this is that, the traditional scheduling algorithms for executing different services on data stored in cloud usually sacrifice security privilege in order to achieve deadline. To provide adequate security without sacrificing cost and deadline for real time data- intensive cloud system, security aware scheduling algorithm has become an effective and important feature. Existing systems also merely provide efficient security aware scheduling and security for data. In order to ensure adequate security for different data storages in cloud, in this paper we have proposed a three tier security framework. We have analyzed mathematically the security overhead for different security services such as confidentiality, integrity as well as authenticity and shown that our framework can provide adequate level of security and enhance the processing speed of security services without taking additional overhead in time. We have also proposed a scheduling algorithm to ensure security for data intensive applications. The simulation results show that the proposed algorithm gives better success rate with adequate security in comparisons with existing algorithms. This algorithm ensures security of data and applications as well as confirms the job to be scheduled within deadline.