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This work focuses on how to provide the best virtual desktop technology, virtualization performance and hardware in the computer classroom. There are using the three popular virtualization technologies in the same environment to establish the same conditions, pure performance comparison: VMware Horizon, Citrix XenDesktop, and Microsoft VDI. Test software used to the current popular software, system...
Currently, most computer systems use user IDs and passwords as the login patterns to authenticate users. However, many people share their login patterns with coworkers and request these coworkers to assist co-tasks, thereby making the pattern as one of the weakest points of computer security. Insider attackers, the valid users of a system who attack the system internally, are hard to detect since...
The present study utilizes VirtualBox virtual environment technology to develop the Personal, small size, Big Data platform that can effectively replicate a VM Hadoop system and provides an environment for developers to easily design and implement Hadoop Map/Reduce programming. This study also performs the benchmark by using the VM Hadoop, small-cluster Hadoop, and NCHC's large-scale Hadoop cluster,...
This work implement a cloud infrastructure that can monitor the status of OpenStack and monitor the real-time status of virtual machine on OpenStack then achieve to energy saving through live migration. The projects of monitoring include the utilization of CPU, load of memory, and power consumption. These data show in real-time, completely monitor the real-time status of physical machines and virtual...
In order to improve accessibility and efficiency of a cloud system, this work proposed a mechanism to integrate Ceph, HDFS and Swift based on the OpenStack. We first build a heterogeneous storage environment including Ceph, HDFS and Swift based on the open source OpenStack and then measure their performances. To integrate storage services of Ceph, HDFS and Swift, we propose a proportion-based file...
In this work, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combines environmental sensors with ZigBee wireless sensor network technology to store and process environmental data in HBase. The environmental data collected by sensors will be stored and processed in the cloud using HBase, which supports storing large amounts of data, free to easily increase storage space...
The prosperity of modern human civilization is attributed to the huge amount of resources and energy. With the increasing population and technological advancements, thedemand for energy will definitely continue to increase. Howto save energy has become an important issue. In this work, we proposed a system to collect the electricity usage data in campus buildings through smart meters and environmental...
With the development of science and technology and lifestyle changes, people's idea focuses on improving the health environment by using Information Technology to provide warning and prediction. To achieve this goal, the proposed Intelligent Indoor Environment Monitoring System in Cloud (iDEMS) combined environmental sensors with ZigBee wireless sensor network technology to store and process environmental...
In this paper, we will examine how to improve workload balancing on a computing cluster by a parallel loop self-scheduling scheme. We use hybrid MPI and OpenMP parallel programming in C language. The block partition loop is according to the performance weighting of compute nodes. This study implements parallel loop self-scheduling use Xeon Phi, with its characteristics to improve workload balancing...
According to analysis by Gartner, Inc., cloud computing is one of the top 10 strategic technology for most organizations in 2015. Gartner defines a strategic technology as one with the potential for significant impact on the organization in the next three years. Even though virtualization can reduce the cost of hardware equipment, but it still faces with two problems: energy consumption and the waste...
In this paper, we will examine how to improve workload balancing on a computing cluster by a parallel loop self-scheduling scheme. We use hybrid MPI and OpenMP parallel programming in C language. The block partition loop is according to the performance weighting of compute nodes. This study implements parallel loop self-scheduling use Xeon Phi, with its characteristics to improve workload balancing...
Recently, big data are widely applied to different field. This work presents a cloud city traffic state assessment system using a novel architecture of big data. The proposed system provides the real-time bus location and real-time traffic situation, especially the real-time traffic situation nearby, through open data, GPS, GPRS and cloud technologies. With the high-scalability cloud technologies,...
In the Cloud Computing model, the computing resources are provided in an on-demand and dynamic fashion. For improving system reliability and availability on server farm, the concept of redundancy is adopted to allow the system to continue operation even when some servers fail. The selection on the amount of standby servers emerges to be an issue to explore. The goal of this research is to provide...
Software defined network (SDN) is a new network technology which has become popular in recent years. Since SDN is applied to control network traffic, the concept of network functions virtualization (NFV) is developed. OpenFlow, an essential technology in NFV implementation, enables SDN to develop from a simple concept and divides traditional switch into two parts: a data plane and a control plane...
Due to the popularity of cloud computing and the increase of cloud-service requests, the demand for building better cloud infrastructure is huge. However, many services that need to be provided by a cloud infrastructure are not currently available. Efficient power consumption is an example. On the other hand, the usage of some cloud services is low. But their servers keep online and working, causing...
This study presents an optimization-based image watermarking scheme that applies summation quantization technique to multi-coefficients of discrete wavelet transform (DWT). Peak signal-to-noise ratio (PSNR) and bit error ratio (BER) are commonly performance indexes in measuring the quality and robustness of an image watermarking scheme. To optimize the tradeoff between PSNR and BER, we minimize the...
Open Flow, an essential technology in Network functions virtualization (NFV) implementation, enables software-dened networking (SDN) to develop from a simple concept and divides traditional switch into two parts: a data plane and a control plane. Because software-dened rules are used to control traffic, the concept of NFV was developed. Numerous virtualization studies on NFV have investigated conventional...
It is expected to meet improving IO efficiency, lower management costs, higher storage utilization at the same time when creating a virtual cluster on a host machine. To meet these three goals, many existing methods improve the host storage utilization and improve virtual machine performance by increasing number of nodes and adopting COW technology and QCOW2 image format. However, adding more nodes...
In recent years, with the booming server virtualization, many applications extend topics, such as: PaaS [1], IaaS [2], SaaS [3] and other cloud services concept, but whether it is the kind of virtualization technology, after end storage I / O performance and high availability is a key factor in quality of service. This paper will explore vSAN distributed storage system, the differences in different...
In this paper, we mainly investigate performance of genetic algorithms for the travelling salesman problem based on Grefenstette coding, and modified single program, multiple data (SPMD) parallel computing. In addition, solutions for potential problems encountered in the process of applying MATLAB for parallel computing are also suggested. In addition to common genetic algorithms, the proposed parallel...
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