Virtual Disks Performance Analysis Using Flexible I/O and Powerstat

Cloud computing has experienced significant growth in the recent years owing to the various advantages it provides such as 24/7 availability, quick provisioning of resources, easy scalability to name a few. Virtualization is the backbone of cloud computing. Virtual Machines (VMs) are created and executed by a software called Virtual Machine Monitor (VMM) or the hypervisor. It separates compute environments from the actual physical infrastructure. A disk image file representing a single virtual machine is created on the hypervisor’s file system. In this paper, we analysed the runtime performance of multiple different disk image file formats. The analysis comprises of four different parameters of performance namely- bandwidth, latency, input-output operations performed per second (IOPS) and power consumption. The impact of the hypervisor’s block and file sizes is also analysed for the different file formats. The paper aims to act as a reference for the reader in choosing the most appropriate disk file image format for their use case based on the performance comparisons made between different disk image file formats on two different hypervisors – KVM and VirtualBox. Keywords: Virtualization, Virtual disk formats, Cloud computing, fio, KVM, virt-manager, powerstat, VirtualBox.

A Novel Query Method for Spatial Data in Mobile Cloud Computing Environment

With the development of network communication, a 1000-fold increase in traffic demand from 4G to 5G, it is critical to provide efficient and fast spatial data access interface for applications in mobile environment. In view of the low I/O efficiency and high latency of existing methods, this paper presents a memory-based spatial data query method that uses the distributed memory file system Alluxio to store data and build a two-level index based on the Alluxio key-value structure; moreover, it aims to solve the problem of low efficiency of traditional method; according to the characteristics of Spark computing framework, a data input format for spatial data query is proposed, which can selectively read the file data and reduce the data I/O. The comparative experiments show that the memory-based file system Alluxio has better I/O performance than the disk file system; compared with the traditional distributed query method, the method we proposed reduces the retrieval time greatly.

Chaos, Complexity and Synchronization in Dynamical System Using Bond Graph

This paper describes a method for approaching an arbitrary parameter with initial outline, slider and simulation model, systematical and quantitative bond graph model of vehicle dynamic system. It illustrates a typical bond graph and object models using the three basic modules of the software. For brevity, only small problems are considered for simulation of vehicle dynamic system model. Bond graph techniques reveal its strength and beauty in developing a clear and simplified model for vehicle dynamic system. Fast Fourier Transform (FFT) generates discrete Fourier transform of a time-varying signal and stores it into a disk file containing discredited numerical values for all the system states, ranging over the entire simulation interval. In this paper, a vehicle dynamic Modeling and Simulation involving three partners viz., Vehicle model, Vehicle parameter and Vehicle simulator, are taken into consideration. This process consists of both modeling and simulating closely associated with each other. Vehicle dynamics is the science that studies the kinematics of wheeled land vehicles with its dimensions and benefits to mechanisms, suspensions and steering mechanisms. The dynamics of computer models of vehicles using Bond graph technique originated by H. M. Paynter, presents a tool for continuous system modeling in a graphical sense, by generalizing the physical phenomenon such as: Mechanical Dynamic System. The role of computerized modeling and simulation in engineering design continues to increase as companies are striving to gain competitive advantages by reducing the time required to move from concept to final product.

Visual Programming of VTK Pipelines in Simulink

We have created a wrapper package named SimVTK that allows VTK, and third-party classes derived from VTK classes, to be seamlessly integrated with MATLAB’s Simulink interface. Our package generates a loadable Simulink module for each VTK class, which is then represented as a “block” on the Simulink canvas, and can be connected with other blocks to form a pipeline. Each block can be double-clicked to bring up a dialog box that allows introspection and control of the VTK class. After a VTK pipeline has been built, it can be run interactively from within Simulink. The outputs of the pipeline can be displayed in an interactive render window, written to a disk file, or exported to a MATLAB variable. Within Simulink, the VTK pipeline can also be connected to the ITK pipeline through the use of our SimITK package. We generate the VTK-Simulink wrapper automatically though the use of CMake build scripts, with XML as an intermediate representation of the VTK class interfaces.