With cloud computing technology becoming more mature, it is essential to combine the big data processing tool Hadoop with the Infrastructure as a Service (IaaS) cloud platform. In this study, we first propose a new Dynamic Hadoop Cluster on IaaS (DHCI) architecture, which includes four key modules: monitoring, scheduling, Virtual Machine (VM) management, and VM migration modules. The load of both physical hosts and VMs is collected by the monitoring module and can be used to design resource scheduling and data locality solutions. Second, we present a simple load feedback-based resource scheduling scheme. The resource allocation can be avoided on overburdened physical hosts or the strong scalability of virtual cluster can be achieved by fluctuating the number of VMs. To improve the flexibility, we adopt the separated deployment of the computation and storage VMs in the DHCI architecture, which negatively impacts the data locality. Third, we reuse the method of VM migration and propose a dynamic migration-based data locality scheme using parallel computing entropy. We migrate the computation nodes to different host(s) or rack(s) where the corresponding storage nodes are deployed to satisfy the requirement of data locality. We evaluate our solutions in a realistic scenario based on OpenStack. Substantial experimental results demonstrate the effectiveness of our solutions that contribute to balance the workload and performance improvement, even under heavy-loaded cloud system conditions.

With respect to security, the use of various terminals in the mobile Internet environment is problematic. Traditional terminal testing methods cannot simulate actual testing environments; thus, the test results do not accurately reflect the security of terminals. To address this problem, we designed and developed a cloud platform based automated testing system for the mobile Internet. In this system, virtualization and automation technology are utilized to integrate mobile terminals into the cloud platform as a resource, to achieve a novel cloud service called Testing as a Service (TaaS). The system consists of three functional modules: web front-end module, testing environment module, and automated testing module. We adopted the permeable automated testing tool Metasploit to perform security testing. In our test experiments, we selected 100 apps with diverse vulnerability levels, ranging from secure to vulnerable, to perform a series of functional tests. The experimental results show that this system can correctly test both the number of vulnerable apps and their corresponding vulnerability levels. As such, the designed system can flexibly configure various testing environments for different testing cases or projects, and thereby perform security testing automatically.