Internet of Things Cloud Framework for Smart Homes

Smart appliances and renewable energy resources are becoming an integral part of smart homes. Nowadays, home appliances are communicating with each other with home short-range home area gateways, using existing network communication protocols such as ZigBee, Bluetooth, RFID, and WiFi. A Gateway allows homeowners and utilities to communicate remotely with the appliances via long-range communication networks such as GPRS, WiMax, LTE, and power liner carrier. This paper utilizes the Internet of Things （IoT） concepts to monitor and control home appliances. Moreover, this paper proposes a framework that enables the integration and the coordination of Human-to-Appliance, Utility-to- Appliance, and Appliance-to-Appliance. Utilizing the concepts of Internet of Things leads to one standard communication protocols, TCP/IPV6, which overcomes the many diverse home area networks and neighborhood area networks protocols. This work proposes a cloud based framework that enables the IoTs integration and supports the coordination between devices, as well as with device-human interaction. A prototype is designed, implemented, and tested to validate the proposed solution.

Cloud Foren:A Novel Framework for Digital Forensics in Cloud Computing

Since its birth in the early 90 's,digital forensics has been mainly focused on collecting and examining digital evidence from computers and networks that are controlled and owned by individuals or organizations.As cloud computing has recently emerged as a dominant platform for running applications and storing data,digital forensics faces well-known challenges in the cloud,such as data inaccessibility,data and service volatility,and law enforcement lacks control over the cloud.To date,very little research has been done to develop efficient theory and practice for digital forensics in the cloud.In this paper,we present a novel framework,Cloud Foren,which systematically addresses the challenges of forensics in cloud computing.Cloud Foren covers the entire process of digital forensics,from the initial point of complaint to the final point where the evidence is confirmed.The key components of Cloud Foren address some challenges,which are unique to the cloud.The proposed forensic process allows cloud forensic examiner,cloud provider,and cloud customer collaborate naturally.We use two case studies to demonstrate the applicability of Cloud Foren.We believe Cloud Foren holds great promise for more precise and automatic digital forensics in a cloud computing environment.

Towards a Comprehensive Security Framework of Cloud Data Storage Based on Multi Agent System Architecture

The tremendous growth of the cloud computing environments requires new architecture for security services. Cloud computing is the utilization of many servers/data centers or cloud data storages (CDSs) housed in many different locations and interconnected by high speed networks. CDS, like any other emerging technology, is experiencing growing pains. It is immature, it is fragmented and it lacks standardization. Although security issues are delaying its fast adoption, cloud computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this paper a comprehensive security framework based on Multi-Agent System (MAS) architecture for CDS to facilitate confidentiality, correctness assurance, availability and integrity of users' data in the cloud is proposed. Our security framework consists of two main layers as agent layer and CDS layer. Our propose MAS architecture includes main five types of agents: Cloud Service Provider Agent (CSPA), Cloud Data Confidentiality Agent (CDConA), Cloud Data Correctness Agent (CDCorA), Cloud Data Availability Agent (CDAA) and Cloud Data Integrity Agent (CDIA). In order to verify our proposed security framework based on MAS architecture, pilot study is conducted using a questionnaire survey. Rasch Methodology is used to analyze the pilot data. Item reliability is found to be poor and a few respondents and items are identified as misfits with distorted measurements. As a result, some problematic questions are revised and some predictably easy questions are excluded from the questionnaire. A prototype of the system is implemented using Java. To simulate the agents, oracle database packages and triggers are used to implement agent functions and oracle jobs are utilized to create agents.

Control Framework for Secure Cloud Computing

Cloud computing is touted as the next big thing in the Information Technology (IT) industry, which is going to impact the businesses of any size and yet the security issue continues to pose a big threat on it. The security and privacy issues persisting in cloud computing have proved to be an obstacle for its widespread adoption. In this paper, we look at these issues from a business perspective and how they are damaging the reputation of big companies. There is a literature review on the existing issues in cloud computing and how they are being tackled by the Cloud Service Providers (CSP). We propose a governing body framework which aims at solving these issues by establishing relationship amongst the CSPs in which the data about possible threats can be generated based on the previous attacks on other CSPs. The Governing Body will be responsible for Data Center control, Policy control, legal control, user awareness, performance evaluation, solution architecture and providing motivation for the entities involved.

A Cloud Computing Security Assessment Framework for Small and Medium Enterprises

Cloud computing plays a very important role in the development of business and competitive edge for many organisations including SMEs (Small and Medium Enterprises). Every cloud user continues to expect maximum service, and a critical aspect to this is cloud security which is one among other specific challenges hindering adoption of the cloud technologies. The absence of appropriate, standardised and self-assessing security frameworks of the cloud world for SMEs becomes an endless problem in developing countries and can expose the cloud computing model to major security risks which threaten its potential success within the country. This research presents a security framework for assessing security in the cloud environment based on the Goal Question Metrics methodology. The developed framework produces a security index that describes the security level accomplished by an evaluated cloud computing environment thereby providing the first line of defence. This research has concluded with an eight-step framework that could be employed by SMEs to assess the information security in the cloud. The most important feature of the developed security framework is to devise a mechanism through which SMEs can have a path of improvement along with understanding of the current security level and defining desired state in terms of security metric value.

Education Technology Cloud Platform Framework Establishment and Security

With more educational business absorbed into information management system at universities, traditional information management platform seems unable to provide efficient service for teaching and research. Some universities then resort to cloud computing platform. In view of the problems existing in the traditional information platform, this study presented an information management framework designed with cloud technology, and introduced the security techniques for its protection.

Cloud-Enabled E-Governance Framework for Citizen Centric Services

In the modern arena, the Information and Communication Technologies (ICTs) have been playing a vital role in every walks of our day to day life. In order to enhance the ICT capacity and align with the global technology transformations, the developing countries have started introducing the computerization and automation processes at different levels of the governments. The several research studies revealed that the existing legacy of governance system and their services in current state have several issues and challenges in terms of timeliness, cost of services, delay in service delivery, time-bound availability of services (24/7/365), inefficiency services, ease of service and discomforts, poor service collaboration, absence of responsiveness, and limited security of sensitive information/documents. A significant question is still unanswered that how to bring the Citizens and Government bodies closer for alleviating the aforementioned issues and challenges of existing government system services. This research paper aims to investigate the issues and challenges in the current status of Governance and partial E-Governance systems which encompass the computerization or automation process. The research designs a cloud framework for effective delivery of citizen centric services in general and Ethiopia as a specific case study. After rigorous analysis of prior research efforts, along with primary survey and interview, it was clearly observed that cloud computing can be an alternative instrumental for significant transformation of governmental service delivery. The research paper used a mix of exploratory and constructive research design and methodology with qualitative & quantitative data analysis approach. Finally, a Cloud Based E-Governance (CBEG) Framework is designed for the delivery of Ethiopian Citizen Centric Services. The validation, evaluation and acceptance test of the framework proves that the revealed knowledge can provide a significant transformation towards the betterment of the E Governance Services Delivery Systems.

A Unified Framework of the Cloud Computing Service Model

After a comprehensive literature review and analysis, a unified cloud computing framework is proposed, which comprises MapReduce, a vertual machine, Hadoop distributed file system （HDFS）, Hbase, Hadoop, and virtualization. This study also compares Microsoft, Trend Micro, and the proposed unified cloud computing architecture to show that the proposed unified framework of the cloud computing service model is comprehensive and appropriate for the current complexities of businesses. The findings of this study can contribute to the knowledge for academics and practitioners to understand, assess, and analyze a cloud computing service application.

Trusted Heartbeat Framework for Cloud Computing

In cloud computing environment, as the infrastructure not owned by users, it is desirable that its security and integrity must be protected and verified time to time. In Hadoop based scalable computing setup, malfunctioning nodes generate wrong output during the run time. To detect such nodes, we create collaborative network between worker node (i.e. data node of Hadoop) and Master node (i.e. name node of Hadoop) with the help of trusted heartbeat framework (THF). We propose procedures to register node and to alter status of node based on reputation provided by other co-worker nodes.

Cloud Computing in Lebanese Enterprises: Applying the Technology, Organization, and Environment (TOE) Framework

In the last few years, cloud computing (CC) has grown from being a promising business concept to one of the fastest growing segments of the IT industry. Many businesses including small, medium (SMEs) and large enterprises are migrating to this technology. The objective of this paper was to describe the opinions of enterprises about the benefits and challenges of cloud computing services in the private and public companies in South Lebanon. During 2019, a cross-sectional study which enrolled 29 enterprises used CC was conducted. The survey included questions on socio-demographic characteristics of representative of companies, and companies’ factors in reference to the technology, organization, and environment (TOE) framework. Most (58.6%) of companies were private and micro and SMEs sized (86.8%). The cost saving (75.0%), scalability and flexibility (75.9%), security (44.8%), and improved service delivery were the main benefits that cloud offer to the business. The security aspect, the cost, and the limited provision of infra-structure remain a challenge for the adoption of CC. In conclusion, the research reveals the potential for the development of CC and obstacles for successful implementation of this new technology.

Cloudless-Training:基于serverless的高效跨地域分布式ML训练框架

跨地域分布式机器学习(ML)训练能够联合多区域的云资源协作训练,可满足许多新兴ML场景(比如大型模型训练、联邦学习)的训练需求。但其训练效率仍受2方面挑战的制约。首先,多区域云资源缺乏有效的弹性调度,这会影响训练的资源利用率和性能;其次,模型跨地域同步需要在广域网(WAN)上高频通信,受WAN的低带宽和高波动的影响,会产生巨大通信开销。本文提出Cloudless-Training,从3个方面实现高效的跨地域分布式ML训练。首先,它基于serverless计算模式实现,使用控制层和训练执行层的2层架构,支持多云区域的弹性调度和通信。其次,它提供一种弹性调度策略,根据可用云资源的异构性和训练数据集的分布自适应地部署训练工作流。最后,它提供了2种高效的跨云同步策略,包括基于梯度累积的异步随机梯度下降(ASGD-GA)和跨云参数服务器(PS)间的模型平均(MA)。Cloudless-Training是基于OpenFaaS实现的,并被部署在腾讯云上评估,实验结果表明Cloudless-Training可显著地提高跨地域分布式ML训练的资源利用率(训练成本降低了9.2%~24.0%)和同步效率(训练速度最多比基线快1.7倍),并能保证模型的收敛精度。

Modelling Conceptual Framework for Private Cloud Infrastructure Deployment in the ICT Centre of Tertiary Institutions

This research work aims at modelling a framework for Private Cloud infrastructure Deployment for Information and Communication Technology Centres (ICTs) in tertiary institutions in Nigeria. Recent researches have indicated that cloud computing will become the mainstream in computing technology and very effective for businesses. All Tertiary Institutions have ICT units, and are generally charged with the responsibilities of deploying ICT infrastructure and services for administration, teaching, research and learning in higher institution at large. The Structured System Analysis and Design Methodology (SSADM) is used in this research and a six-step framework for a cost effective and scalable Private cloud infrastructure using server virtualization is presented as an alternative that can guarantee total and independent control of data flow in the institutions, while ensuring adequate security of vital information.

基于SpringCloud框架微服务架构的融合媒体云平台设计

设计基于SpringCloud框架微服务架构的融合媒体云平台,提高媒体业务流程效率。对SpringCloud的基本情况与相关组件进行概述,提出融合媒体云平台设计思路与原则,以此为基础构建有三层服务层的融合媒体云平台,设计融合媒体云平台的安全,基于“一次采集、多种生成、多元传播”的融合媒体云平台设计思路,最终构成融合媒体云平台的业务流程。

A Multilayer Security Framework for Cloud Computing in Internet of Things (IoT) Domain

Cloud computing is a type of emerging computing technology that relies on shared computing resources rather than having local servers or personal devices to handle applications. It is an emerging technology that provides services over the internet: Utilizing the online services of different software. Many works have been carried out and various security frameworks relating to the security issues of cloud computing have been proposed in numerous ways. But they do not propose a quantitative approach to analyze and evaluate privacy and security in cloud computing systems. In this research, we try to introduce top security concerns of cloud computing systems, analyze the threats and propose some countermeasures for them. We use a quantitative security risk assessment model to present a multilayer security framework for the solution of the security threats of cloud computing systems. For evaluating the performance of the proposed security framework we have utilized an Own-Cloud platform using a 64-bit quad-core processor based embedded system. Own-Cloud platform is quite literally as any analytics, machine learning algorithms or signal processing techniques can be implemented using the vast variety of Python libraries built for those purposes. In addition, we have proposed two algorithms, which have been deployed in the Own-Cloud for mitigating the attacks and threats to cloud-like reply attacks, DoS/DDoS, back door attacks, Zombie, etc. Moreover, unbalanced RSA based encryption is used to reduce the risk of authentication and authorization. This framework is able to mitigate the targeted attacks satisfactorily.

基于Spring Cloud微服务架构的非物质文化遗产展示与学习系统的设计与实现

针对目前人民群众对非物质文化遗产认识不够全面,以及市面上利用系统软件来有效保护和传承非物质文化遗产的软件很缺乏等问题,结合相应软件开发技术和数字可视化技术,设计和实现了一款非物质文化遗产展示与学习系统以实现对非物质文化遗产项目的传承和保护创新。本系统以江西省范围内的主要非物质文化遗产项目为例,设置有移动App端和PC端,采用前后端分离的开发模式,以当前主流的Spring Cloud微服务架构技术为基础,结合SpringBoot框架,在华为云服务器上搭建起弹性可伸缩的后端服务。使用Uni-App开发移动端,以解决无法在Android、IOS及各大小程序平台运行的问题。经测试,本系统具有操作简单,易于使用、维护和扩展,高并发性等优点。

Co-evolutionary cloud-based attribute ensemble multi-agent reduction algorithm

In order to improve the performance of the attribute reduction algorithm to deal with the noisy and uncertain large data, a novel co-evolutionary cloud-based attribute ensemble multi-agent reduction（CCAEMR） algorithm is proposed.First, a co-evolutionary cloud framework is designed under the M apReduce mechanism to divide the entire population into different co-evolutionary subpopulations with a self-adaptive scale. Meanwhile, these subpopulations will share their rewards to accelerate attribute reduction implementation.Secondly, a multi-agent ensemble strategy of co-evolutionary elitist optimization is constructed to ensure that subpopulations can exploit any correlation and interdependency between interacting attribute subsets with reinforcing noise tolerance.Hence, these agents are kept within the stable elitist region to achieve the optimal profit. The experimental results show that the proposed CCAEMR algorithm has better efficiency and feasibility to solve large-scale and uncertain dataset problems with complex noise.

eGovCloud:一种基于云服务的电子政务框架

针对电子政务建设过程中涉及的异构资源即时共享和跨部门业务协同等核心问题,提出一种基于云服务的电子政务框架eGovCloud,其核心思想是通过"虚拟资源中心"实现资源物理上的分布存储和逻辑上的集中管理,并建立政务领域元数据规范作为统一的语义基础设施,进而支持跨部门异构信息资源的共享和统一管理,以此为基础进一步提出支持跨部门业务协同的"政务虚拟组织"。探讨了eGovCloud体系结构以及涉及的关键技术,并展示了其在构建电子政务系统中的应用。

云控制水肥药械智能监控平台的设计与实现

随着我国农业现代化水平的提高,以水肥药械为核心的现代农业服务体系成为未来行业发展的方向。为此,采用B/S结构模式,使用Django框架,选用MySQL数据库,设计并实现了一种云控制水肥药械智能监控平台。平台拥有完善的机构、数据交互、用户和权限等管理功能,可实现水肥药械的数字化管理;嵌入了基于Bi-LSTM与LightGBM融合的参考作物蒸散量预测方法,可实现对作物灌溉的实时预测;增加了作物施肥计算公式以及施肥用药数据库,可为用户对肥、药的施用提供科学的参考依据。实际运行及性能测试结果表明:平台的架构和模块设计合理,功能较全面和灵活,可有效满足设施园区对于水肥药械的管理需求,推动现代化农业发展。

基于SpringCloud框架的医疗信息共享平台设计与实现

目的:设计并实现一款基于SpringCloud框架的医疗信息共享平台,以提高医疗信息的共享和交换能力。方法:借助云平台提供的云计算开发及运维资源,采用SpringCloud微服务的思路,将医疗信息共享平台的微服务分为人事管理微服务(SMS)、患者管理微服务(PMS)、诊断管理微服务(DMS)和财务管理微服务(FMS)4部分,分别提供不同的医疗信息共享功能。结果:平台支持病患在移动APP端和Web端进行挂号操作,不同微服务之间通过Eureka组件有机整合到一起,实现医疗信息共享,内置的RabbitMQ支持大量实时数据的存储与管理,使得医疗信息共享更加顺畅。结论:基于SpringCloud框架的医疗信息共享平台可实现医院信息系统中大量数据的共享与交换,能够打通各部门、各科室与不同使用角色之间的信息交互,解决大型医院信息共享交换难的弊端;借助云计算服务能力可增强医疗信息共享平台的稳定性和安全性。

基于Spring Cloud和Docker的分布式微服务架构设计

近年来,微服务架构是当前最流行的分布式系统类型之一,相比传统单体架构它解决了数据、服务呈爆炸式增长带来的冲击问题.以构建一个天气预报分布式微服务系统为例,利用Spring Cloud框架将系统垂直切分为四个独立的业务服务:城市数据API微服务、天气数据采集微服务、天气数据API微服务和天气预报微服务.系统集成Eureka做服务发现,使用Zuul做路由网关,结合Hystrix熔断机制提高了系统的容错性,并使用Docker容器快速独立部署所有微服务,实现了开发、测试、部署运维的一体化.