Private Cloud Platform Research Articles

Data Placement for Privacy-Aware Applications over Big Data in Hybrid Clouds

Nowadays, a large number of groups choose to deploy their applications to cloud platforms, especially for the big data era. Currently, the hybrid cloud is one of the most popular computing paradigms for holding the privacy-aware applications driven by the requirements of privacy protection and cost saving. However, it is still a challenge to realize data placement considering both the energy consumption in private cloud and the cost for renting the public cloud services. In view of this challenge, a cost and energy aware data placement method, named CEDP, for privacy-aware applications over big data in hybrid cloud is proposed. Technically, formalized analysis of cost, access time, and energy consumption is conducted in the hybrid cloud environment. Then a corresponding data placement method is designed to accomplish the cost saving for renting the public cloud services and energy savings for task execution within the private cloud platforms. Experimental evaluations validate the efficiency and effectiveness of our proposed method.

Reproducibility of execution environments in computational science using Semantics and Clouds

In the past decades, one of the most common forms of addressing reproducibility in scientific workflow-based computational science has consisted of tracking the provenance of the produced and published results. Such provenance allows inspecting intermediate and final results, improves understanding, and permits replaying a workflow execution. Nevertheless, this approach does not provide any means for capturing and sharing the very valuable knowledge about the experimental equipment of a computational experiment, i.e., the execution environment in which the experiments are conducted. In this work, we propose a novel approach based on semantic vocabularies that describes the execution environment of scientific workflows, so as to conserve it. We define a process for documenting the workflow application and its related management system, as well as their dependencies. Then we apply this approach over three different real workflow applications running in three distinct scenarios, using public, private, and local Cloud platforms. In particular, we study one astronomy workflow and two life science workflows for genomic information analysis. Experimental results show that our approach can reproduce an equivalent execution environment of a predefined virtual machine image on all evaluated computing platforms.

Performance Analysis of Virtual Computer Network Based on Cisco Cloud Services Router 1000V in a Private Cloud Environment

Abstract Virtualization of physical network devices is a relatively new technology, that allows to improve the network organization and gives new possibilities for Software Defined Networking (SDN). Network virtualization is also commonly used for testing and debugging environments, before implementing new designs in production networks. Important aspect of network virtualization is selecting virtual platform and technology, that offer maximal performance with minimal physical resource utilization. This article presents a comparative analysis of performance of the virtual network created by the virtual CSR1000v and virtual machines running Windows 8.1 on two different virtual private cloud platforms: VMware vSphere 5.5 and Microsoft Hyper-V Server 2012 R2. In such prepared testbed we study the response time (delay) and throughput of virtual network devices.

A Tradeoff Analysis of a Cloud-Based Robot Navigation Assistant Using Stereo Image Processing

The use of Cloud Computing for computation offloading in the robotics area has become a field of interest today. The aim of this work is to demonstrate the viability of cloud offloading in a low level and intensive computing task: a vision-based navigation assistance of a service mobile robot. In order to do so, a prototype, running over a ROS-based mobile robot (Erratic by Videre Design LLC) is presented. The information extracted from on-board stereo cameras will be used by a private cloud platform consisting of five bare-metal nodes with AMD Phenom 965 $\,\times\,$ 4 CPU, with the cloud middleware Openstack Havana. The actual task is the shared control of the robot teleoperation, that is, the smooth filtering of the teleoperated commands with the detected obstacles to prevent collisions. All the possible offloading models for this case are presented and analyzed. Several performance results using different communication technologies and offloading models are explained as well. In addition to this, a real navigation case in a domestic circuit was done. The tests demonstrate that offloading computation to the Cloud improves the performance and navigation results with respect to the case where all processing is done by the robot.

Experiences in teaching virtualisation with private cloud platform

Many universities are now offering courses that cover virtualisation related to cloud computing techniques. However, they have ignored the change in economic billing models caused by cloud computing. In our paper, we describe our experiences teaching virtualisation in an introductory curriculum to computers and network using the private cloud platform we developed. With this platform, every student could carry out labs and projects on the virtual machines, which would have been impossible otherwise. Over the past two years, our experience was a success overall. Each student has learnt pay-as-you-go billing models and some related virtualisation technology in the experiments. Furthermore, some reminders of the platform sufficiently prevent students from overspending. Average per-pupil expenses in the cloud were under CNY 100. Two labs and one project are designed to help the students to complete the assignment excitedly. As shown on the survey, 87% said they thought it should be retained in future course offerings.

面向私有云的继电保护整定计算系统的研究

本文介绍了当前各继电保护机构使用的整定计算系统历史与现状,分析了整定计算面临的难题。随着云计算的兴起，为了解决这些问题，国家电网提出了电力云的应用。本文在此基础上，进一步提出了建立面向省地继保机构的基于私有云平台的继电保护整定计算服务。搭建了私有云平台，基于Hadoop集群MapReduce框架和服务，线接入方式实现了云计算B/S模式整定计算系统，该系统业务功能模块以WCF形式订阅服务。最后，提出私有云安全问题解决方案和总结。面向私有云的继电保护整定计算软件的实现，对于国家电网电力云的建设具有重大意义。 This article describes the history and current status of Setting Calculation system used by the var-ious protection agencies and analyzes the problems faced by Setting Calculation. With the rise of cloud computing, in order to solve these problems, the National Grid raised electricity cloud ap-plications. On this basis, this paper further proposes to establish tuning computing services based on private cloud platform facing the provincial relay protection agencies. It builds a private cloud platform based on Hadoop cluster, MapReduce framework and service, line access method to achieve cloud computing B/S mode Setting Calculation system, whose business function modules are in the form of WCF subscription service. Finally, private cloud security solutions and summary are presented. Protection for private cloud computing to achieve tuning software is of great signi-ficance for the electricity cloud construction of the national grid.

Security System for the School Bus Using IP-basedCamera

School buses generally serve as the first and last school function for millions of school children every school day. School bus is also a kind of a classroom where children learn positive and negative behavior. However, now a day‟s security for school children even in the school has become a major issue, hence, there is a need of security system for school children in school bus. So, many school managements want to provide security to children in school bus with the help of a system using which they could have the continuous visibility and monitoring of school buses. In this paper, we present the design and development of a security system for schools by deploying an IP based camera inside the school buses, and making it viewable / controllable by the authorized people of the school management through an android device. Also the system enable the IP based camera to upload the videos and pictures captured on to a private cloud platform of the school automatically as it enters the Wi-Fi zone of the school.

Research of Enterprise Private Cloud Computing Platform Based on OpenStack

The demand for computing resources is growing, but the input costs of the enterprise information system construction of the traditional way is too high, and has not the high utilization of the resources. In order to solve this contradiction, the enterprise private cloud platform architecture has been put forward based on open source system. By analyzing the mainstream open source cloud projects, the basis to choose OpenStack has been given. From the perspective of classification of the enterprise personnel, combining with the components of OpenStack, this paper expounds manufacture of the virtual image and distribution, monitor, and use of the virtual machine. At last, the user interface design is also given.

Evaluating Google Compute Engine with PROOF

The advent of private and commercial cloud platforms has opened the question of evaluating the cost-effectiveness of such solution for computing in High Energy Physics . Google Compute Engine (GCE) is a IaaS product launched by Google as an experimental platform during 2012 and now open to the public market. In this contribution we present the results of a set of CPU-intensive and I/O-intensive tests we have run with PROOF on a GCE resources made available by Google for test purposes. We have run tests on large scale PROOF clusters (up to 1000 workers) to study the overall scalability of coordinated multi-process jobs. We have studied and compared the performance of ephemeral and persistent storage with PROOF-Lite on the single machines and of standard PROOF on the whole cluster. We will discuss our results in perspective, in particular with respect to the typical analysis needs of an LHC experiment.

УПРОВАДЖЕННЯ ТЕХНОЛОГІЙ ХМАРНИХ ОБЧИСЛЕНЬ ЯК СКЛАДОВИХ ІТ-ІНФРАСТРУКТУРИ ВНЗ

У статті розглянуто поняття, пов'язані із застосуванням хмарних технологій у вищому навчальному закладі, зокрема проаналізовано: поняття «ІТ-інфраструктура ВНЗ», визначено моделі розгортання хмарних обчислень. Сформульовано концептуальні положення проектування ІТ-інфраструктури ВНЗ. Зокрема запропоновано важливу складову ІТ-інфраструктури – єдину систему автентифікації користувачів. Обґрунтовано застосування гібридної моделі розгортання хмарних технологій. Запропоновано програмні складові загальнодоступної і корпоративної хмари ВНЗ. Проаналізовано можливості вільно поширюваних платформ для організації корпоративної хмари ВНЗ. Описаний досвід розгортання корпоративної хмари на основі платформи CloudStack.

Cloud technologies in the process of higher educational institution IT infrastructure projecting

The article investigated the concept of IT infrastructure of higher educational institution. The article described models of deploying of cloud technologies in IT infrastructure. The hybrid model is most recent for higher educational institution. The unified authentication is an important component of IT infrastructure. The author suggests the public (Google Apps, Office 365) and private (Cloudstack, Eucalyptus, OpenStack) cloud platforms to deploying in IT infrastructure of higher educational institution.The purpose of article is to designing individual components of the IT infrastructure of a higher education institution using cloud technology.Task of the research: to analyze the concept of "IT infrastructure", to determine the characteristics of deployment of the cloud technologies and to offer the some components of the IT infrastructure of universities in the traditional and cloud context aspect.The object of the research is IT infrastructure of higher education.The subject of the research is cloud and traditional services as components of the IT infrastructure of the university.Methods: analysis of literature studying the functioning of the IT infrastructure of the university, modeling and design of IT infrastructure.Results: analyzed the concept of "IT infrastructure", "cloud technology", defined characteristics and models of cloud technology deployment, proposed separate components of the IT infrastructure of higher education institutions in the context of "traditional" and "cloud" aspects.Conclusions. The use of cloud technologies in the design of IT infrastructure of universities is an actual and need of the development. The hybrid model is the most appropriate in the deployment of cloud infrastructure of higher educational institution. It is reasonable to use the public (Google Apps and Microsoft Office 365) and private (Cloudstack, Eucalyptus, OpenStack) cloud platform.

Intrusion Detection by Forensic Method in Private Cloud using Eucalyptus

computing has become the mature term which has dealt from single user to large enterprises. The private cloud platform building framework Eucalyptus has great pace of development within short span of time. Achieving AWS (Amazon Web Services) compatible features development along with scalability and sustainability has introduced several issues have an adverse effect on the cloud system. In continuing with this, the chances of intrusion also increase evading traditional mechanism of security. Issues have been introduced due to seamless integration of such structure with computing technologies and so on. By taking advantage of such flaws, the Cybercrime is rapidly increasing in this field. The proposed work is regarded with Digital forensics technique and intrusion detection mechanism. In this scope of work, an experimental setup of Eucalyptus with Snort NIDS (Network Intrusion Detection System) to detect attacks using snort rules has been created. The Eucalyptus Cloud components and Snort logs are exported to outside cloud network to rSyslog server which would be later analyzed by the Awstats log analyzer. Accompanied to above, this scope of work also addresses toward the issue of Eucalyptus to export its logs to the remote rSyslog server. This system will definitely help to reduce the strain on the Cloud forensics.

Data Access Layer: A Programming Paradigm on Cloud

Database is important for any application and critical part of private and public cloud platforms. For compatibility with cloud computing we can follow architectures like three tier architecture in .Net Technologies such that database layer should be separate from user and business logic layers. There are some other issues like following ACID properties in databases, providing dynamic scalability by using Shared-disk Architecture and efficient multi-tenancy, elastic scalability, and database privacy.

Process-based Security Detection Approach for Virtual Machines on Private Cloud Platforms

A process-based security detection method PAMon is proposed in this paper based on analysis of current security detection techniques for virtual machines on private cloud platforms. The modules of PAMon, including semantic reconstruction, hidden process detection, resource utilization analysis, comprehensive analysis, and so forth, are thoroughly analyzed and investigated. To validate the feasibility of PAMon, a miniaturized private cloud was configured aided by Xen and eucalyptus technology. Through experiments, it is demonstrated that the PAMon detection system can effectively address malicious programs running on the monitored virtual machines by comprehensively analyzing the critical processes, hidden processes, and resource-seizing processes. Moreover, this detection system is more comprehensive, thorough, and reliable than existing detection techniques.

Toward Ubiquitous Healthcare Services With a Novel Efficient Cloud Platform

Ubiquitous healthcare services are becoming more and more popular, especially under the urgent demand of the global aging issue. Cloud computing owns the pervasive and on-demand service-oriented natures, which can fit the characteristics of healthcare services very well. However, the abilities in dealing with multimodal, heterogeneous, and nonstationary physiological signals to provide persistent personalized services, meanwhile keeping high concurrent online analysis for public, are challenges to the general cloud. In this paper, we proposed a private cloud platform architecture which includes six layers according to the specific requirements. This platform utilizes message queue as a cloud engine, and each layer thereby achieves relative independence by this loosely coupled means of communications with publish/subscribe mechanism. Furthermore, a plug-in algorithm framework is also presented, and massive semistructure or unstructured medical data are accessed adaptively by this cloud architecture. As the testing results showing, this proposed cloud platform, with robust, stable, and efficient features, can satisfy high concurrent requests from ubiquitous healthcare services.

Tests of Cloud Computing and Storage System features for use in H1 Collaboration Data Preservation model

Based on the currently developing strategy for data preservation and long-term analysis in HEP tests of possible future Cloud Computing based on the Eucalyptus Private Cloud platform and the petabyte scale storage open source system CEPH were performed for the H1 Collaboration. Improvements in computing power and strong development of storage systems suggests that a single Cloud Computing resource supported on a given site will be sufficient for analysis requirements beyond the end-date of experiments. This work describes our test-bed architecture which could be applied to fulfill the requirements of the physics program of H1 after the end date of the Collaboration. We discuss the reasons why we choose the Eucalyptus platform and CEPH storage infrastructure as well as our experience with installations and support of these infrastructures. Using our first test results we will examine performance characteristics, noticed failure states, deficiencies, bottlenecks and scaling boundaries.