Secure and energy efficient dynamic hierarchical load balancing framework for cloud data centers

Preserving the secrecy in the cloud systems is one of the considerable discussion for the further adoption of clouds. The side-channel attacks could extract the private information of other users that shares the computing resources through virtualization. Also, cloud customers face security risks in the context of load balancing of Virtual Machines (VMs). This paper proposes a multi-objective hierarchical load balancing framework to address this issue by means of resource requirement analysis, security and allocating an optimized number of computing resources to every application. The framework is recognized as Secure and Energy Efficient Dynamic Hierarchical Load Balancing Framework for Cloud Data Centers (SEE-DHLB). The experimental results show that our secure VM placement algorithm provides excellent security guarantees and better performance, and achieves better optimality and scalability than previous solutions. It improves the security by using grouping reliability up to 62.21%. Moreover, the model minimizes the power consumption as well as resource utilization up to 38.32% and 73.41% respectively over random, sequential, best fit and DHLB VM placement heuristics.