Tweet Sentiment Analysis (TSA) for Cloud Providers Using Classification Algorithms and Latent Semantic Analysis

Cloud computing is the on-demand delivery of IT resources over the Internet with pay-as-you-go pricing. Instead of buying, owning, and maintaining physical data centers and servers, you can access technology services, such as computing power, storage, and databases, on an as-needed basis from a cloud provider like Amazon Web Services (AWS), Microsoft Azure, Google cloud. Cloud computing is one of the most growing technologies. The fundamental idea behind cloud computing is to distribute an array of computing services by unifying and scheduling a pool of computing resources, thereby minimizing the burden on the users and helping them focus on their core businesses. These computing resources are hosted on virtual hosts and distributed on-demand to the users by cloud service providers. For efficient resource utilization, systematic load balancing of incoming user traffic across virtual hosts is imperative. Aim of this paper is to design and implement Network load balancer with cross zone feature which balance incoming user requests and avoid the problem of server down in real scenario. Elastic Load Balancer automatically equally distribute incoming traffic to the available EC2, targets, like Amazon EC2 instances, IP addresses containersand Lambda functions. Load balancer effectively distribute load equally on available server and AZ to improve fault tolerance and availability. It can manage the differing load of your application traffic in one Availability Zone or over different Availability Zones.

Cloud technologies are becoming pervasive and available for private companies or public institutions in different flavors, mostly public cloud or private clouds. Our focus in this work is on the usage of public cloud technologies by the most popular sites in the Internet. While some studies have described the nascent landscape of public cloud computing 5 years ago, surprising little effort has been put to study the recent evolution of this domain.Using DNS data that enables us to map domains (e.g., netflix.com) and their subdomains (e.g., api.netflix.com) with the cloud providers actually used, we refresh our understanding of this ecosystem. We focus on the dominant four cloud providers, namely Amazon Web Services, Microsoft Azure, Google Cloud Computing and IBM Bluemix. We demonstrate that cloud penetration has clearly increased since 2013, reaching almost 50% of the top 1000 domains, from the Alexa list. Furthermore, a significant fraction of domains use multiple cloud providers simultaneously. Still, domain owenrs remain cautious when it comes to choose which subdomain is actually hosted in the cloud and only 17.8% on average of the subdomains are actually hosted in the cloud. In terms of performance, preliminary results indicate that hosting a subdomain in the cloud pays off as compared to private hosting with a decrease of application level latency of 28%.

Abstract—In this article I have deployed a web-based applica- tion to Docker using Amazon web service (EC2 Instance). Elastic Cloud Compute service is used to the run the docker applications on scalable clusters. Amazon EC2 is fully managed and secured Container orchestration service that makes to deploy, manage and scale Dockerized web application. Docker containers on an EC2 instance to run a university management system website on the Amazon Web Services (AWS) cloud. For educational institutions, a university management system is a crucial tool that enables administrators to manage student records, course information, and other crucial data. The introduction to Docker, a containerization technology that makes it simple to build and manage web applications, follows a discussion of the advantages of hosting a university management system website on the cloud. The next section of the paper focuses on the AWS EC2 service and its capabilities, such as its capability for flexible computing and scalability. The paper also offers a step-by-step tutorial on how to use Docker to deploy a university administration system website on an EC2 instance, including instructions on how to set up the EC2 instance, install and configure Docker, and deploy the website code in a Docker container. Elastic Load Balancer and Auto Scaling, two AWS services, are used in the process of setting up security and scalability for the website. The benefits of using Docker to host a university administration system website on AWS EC2 are outlined in the paper’s conclusion, along with predictions for the development of cloud-based web application hosting. This research paper offers a thorough overview of the steps involved in hosting a university management system website using Docker on AWS EC2, making it a useful tool for educational institutions looking to improve their information management procedures and take advantage of cloud computing and Docker- Containerization.

Cloud computing is growing wide and first-rate promising technology. There are three forms of cloud computing: infrastructure as a service (IaaS), software as a service (SaaS), and platform as a service (PaaS). There are many cloud service providers. Among these, AWS (Amazon Web Service), Azure (Microsoft Cloud), IBM Cloud, Oracle Cloud, and VMware are immensely popular. In this paper, the authors study the Google Cloud Platform (GCP) and a few principally used popular services. Google Cloud Platform could be a cloud provider; they supply servers and services that are used on-demand and at scale. Google Cloud Platform is the fastest growing cloud service supplier now.

Despite the promising application of cloud computing within government organisations, determining the barriers to the successful implementation of cloud computing remains a major challenge. Often, government organisations face formidable barriers to fully adopting cloud computing functions. These barriers include organisational culture issues, a weak application of service-level agreements (SLAs), compliance issues, interoperability and integration issues, the lack of an organisational strategy, cost calculation methods, cloud service availability, and cloud data security and privacy, as well as insufficient trust in providers. Tackling these barriers while meeting the specifications of government cloud computing involves architectural requirements and mechanisms. In addition, the nature of cloud ecosystem operation and its alignment with appropriate strategies are known to be complex, also considering the growing desire for governance solutions. Although researchers and organisations have recognised cloud computing obstacles prior to the cloud implementation stage, fewer efforts have been made to investigate cloud barriers in-depth during and after cloud implementation projects or when introducing governance solutions. This might partly be attributable to inadequate enterprise requirements for addressing cloud barriers, the complexity of government cloud specifications, and the lack of involvement by cloud stakeholders, such as providers and consumers. Thus, the aim of this dissertation is to develop a governance method consisting of the generation and testing of architectural requirements to overcome dominant cloud barriers and improve cloud computing functionalities in the implementation stage. To achieve this, the roles of related cloud providers and consumers have been investigated. The study was guided by activities of The Open Group Architecture Framework (TOGAF) Architecture Development Method (ADM) to design related architectural requirements that would provide best practices for the development of the governance method. Using a sequential, exploratory mixed method, multiple qualitative case studies on the role of cloud providers were conducted to explore which and how architectural requirements are suitable and applicable for addressing the identified cloud barriers. Afterwards, a quantitative survey study was performed to examine and validate the findings from the qualitative phase and to discover the role of cloud consumers in tackling cloud barriers. The utilisation of dual perspectives, from cloud providers and consumers, to design and measure the suitability and applicability of the architectural requirements is a substantial theoretical contribution in the field of enterprise information systems and cloud governance. Both cloud providers and consumers in the selected research context balanced their roles in the composition of cloud ecosystem projects, reducing complexity and enabling cooperative solutions for handling cloud barriers with different levels of emphasis and prioritisation. The results of this thesis provide significant guidance in eliciting architectural requirements as well as in their successful contribution to addressing the 10 identified cloud barriers in the selected context. Seeking a cloud provider’s perspective through multiple case studies resulted in 24 confirmed, newly emerged architectural requirements and 48 sub-requirements for best practices to support Information Technology (IT) managers and practitioners during the implementation of government cloud projects. From the point of view of the cloud service consumer, statistical evidence showed that the architectural requirements proved to be relevant and applicable and resulted in the validation of only eight important cloud constructs with a scale of 36 architectural requirements. The results at the governance level also produced a clear method that can enhance the realisation of value when business/IT strategies and EA governance practices both take place in cloud projects. The governance method also consists of a set of architectural requirements to support managing and controlling cloud computing implementation projects with related stakeholders and change management initiatives. The architectural requirements have been modelled via the ArchiMate 3.0 modelling language as unique and beneficial contributions for the enhancement of enterprise architecture practices. This thesis thereby introduces a novel cloud governance method with clear mechanisms and practices to serve as crucial resources for related organisations, decision-makers, business practitioners and researchers.

This study delves into the optimization strategies of Amazon Web Services (AWS) cloud computing solutions tailored specifically for businesses. It provides an in-depth exploration of the transformative impact that cloud computing has had on modern business operations, emphasizing the pivotal role played by AWS in delivering scalable, flexible, and cost-effective resources. With projections indicating the global public cloud services market's growth to $332.3 billion in 2021, it becomes evident that cloud solutions are increasingly relied upon, with AWS commanding a significant 32% market share. This paper highlights the importance of optimizing AWS solutions, considering its extensive range of services designed to meet diverse business needs. However, transitioning to cloud environments brings challenges related to data security, compliance, integration, and migration complexities, as evidenced by pertinent studies and literature reviews. This research synthesizes insights gleaned from various studies, emphasizing the adaptability and cost-effectiveness of AWS while stressing the critical role of robust security measures in its implementation across industries and geographic regions. Understanding prevalent business requisites and challenges in cloud adoption, including scalability, cost efficiency, reliability, availability, and compliance, is essential for organizations seeking to harness cloud technology effectively. Furthermore, this paper provides an overview of AWS's services encompassing computing, storage, databases, machine learning, and AI, showcasing how these empower businesses to streamline operations, foster innovation, and scale dynamically. It elucidates successful instances where AWS was strategically implemented in Netflix, Airbnb, Jollibee Group, and Capital One, demonstrating its impact on scalability, innovation, and service enhancement. The paper outlines anticipated trends in AWS and cloud computing, focusing on user-friendly tools, advancements in machine learning, infrastructure improvements, increased automation, and deeper integration of AI and advanced analytics. Ultimately, this research emphasizes business's need to optimize AWS solutions, navigate complexities, foster innovation, and achieve operational excellence in an increasingly competitive market.

Artificial intelligence (AI) joining hands with cloud computing is shaking things up in tech changing the game for companies and changing the way they do business. AI is super good at handling big piles of data making tricky jobs run on their own, and figuring out what could happen next. It's getting a helping hand from cloud computing, which brings the kind of big-time infrastructure and brainpower needed for AI's heavy lifting. When you put them together, it's like a turbo boost for coming up with new ideas making work smoother, and helping businesses find all sorts of extra value. AI's not just something that chills in the cloud these days—it's shaping how cloud structures grow and change. Big shots like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud, they're slipping AI tricks into their setups. Think stuff like smart scaling that predicts what you need, computers managing their own resources, and tight security 'cause of AI looking out for threats Plus, there's this new gear made just for AI—like GPUs and TPUs—that's switching up how much it costs to do the cloud thing by making AI tasks zip along faster

Accessing data from social networks using cloud computing has been adopted by many IT enthusiasts. It allows easy access to data and easy sending of data for communication purposes. For many social network users, cloud computing can simplify processes and save time and money. This article defines cloud computing and shows how one can quickly, safely and easily access data. It also discusses how cloud computing solutions could be beneficial to libraries in these basic areas: technology and acquisition.Today’s more libraries and social networks are joining the cloud. But despite the numerous social networks and data acquisition sites demand for data are still escalating—as they always will. To be able to access data conveniently today’s data competitiveness users of search engines must carefully scrutinize various libraries as well as social media to ensure that they match key data and communication needs and deliver intended results in the most efficient and cost-effective way. To meet these challenges, IT organizations are increasingly moving away from a device-centric view of IT, to a view that is application-, information- and people-centric. Cloud computing aligns with this new world view. Cloud computing technology is enabling IT to do more with the infrastructure that already exists, as well as adding new ways to expand capacity quickly and economically by using external cloud computing resources. This technology is enabling IT managers to treat infrastructure as a common substrate on which they can provision services to users faster in a much more flexible and cost-effective way –without having to re-design or add to the underlying infrastructure. Given the benefits of cloud computing, its broad appeal is not surprising. However, this new approach does raise some concerns. Chief among them is securing data in the cloud. This white paper will briefly review the basic fundamentals of cloud computing and describe how virtualization are enabling enterprises to move toward a flexible, federated computing model with a cohesive mix of private external and internal cloud environments. It then discusses the security implications of cloud computing and provides insights into addressing them, and offers a view of security best practices to adopt when considering cloud services.Cloud computing has become an increasingly popular means of delivering valuable, IT-enabled business services. Adopting cloud technology can be an affordable way to get access to a dynamically scalable, virtualized computing environment. Optimal IT hardware, software, expertise and infrastructure management resources that may not otherwise be available from a cost perspective can be rapidly deployed and easily scaled. Processes, applications and services can be available on demand, regard-less of the user location or device. The cloud provider is responsible for the environment, so organizations can make use of resources for short periods of time without having to maintain the environment when it is not being used. While cloud computing models are attractive because of their flexibility and cost effectiveness, certain challenges must be addressed in order to provide a viable option to traditional data services. First and foremost is the issue of security. The externalized aspect of outsourcing can make it harder to maintain data integrity and privacy, support data and service availability, demonstrate compliance, and secure highly available access to applications and information. In short, cloud computing can present an added level of risk. Organizations must therefore establish trust relationships with their cloud computing providers and understand risk in terms of how these providers implement, deploy, and manage security on their behalf. Whether delivered as part of the service or as specific components added in, your cloud provider should address the fundamentals of security and risk management through a comprehensive approach.

Cloud computing is a promising technology, where the infrastructure, developing platform, software and storage are delivered as a service. With the development of cloud computing, more and more cloud service providers emerge. However, there are no metrics can be referred to compare these providers, so it is difficult for cloud consumers to select the most reliable providers or resources. Thus we present a platform of Services Level Agreement (SLA) in cloud computing. In the platform, we propose a Reputation System to evaluate the reliability of providers or resources to address this challenge, and we also propose a SLA template pool in order to make the SLA negotiation between cloud providers and cloud consumers become more equitable, transparent and convenient.

The study delves into AWS's intricacies to reveal its latent capabilities and emphasise the revolutionary advantages it offers to both people and corporations. By analysing various AWS features, this study investigates the integration of Amazon Web Services (AWS) to develop scalable web applications, focusing on the configuration and deployment of key AWS components such as Elastic Compute Cloud (EC2), Auto Scaling, and Simple Storage Service (S3). Two experimental scenarios are conducted: a control scenario with a fixed number of EC2 instances and a dynamic scaling scenario utilising SLAstic for automatic horizontal scaling. The experiments employ m1. Large EC2 instances, monitoring performance metrics like CPU utilisation and response time through Amazon CloudWatch. The outcomes reveal that the dynamic scaling approach significantly enhances resource optimisation and application performance.

Navigating Social Media in #Ophthalmology

COVID-19 is an infectious disease, which was first appeared in December 2019 in Wuhan, China. This virus has spread all over the world. So in a situation like this, Twitter is helping people by giving the latest information and to connect with others. As the WHO giving health information, this paper work is an implementation of automation for extracting details of Covid-19 from the latest Tweets of Twitter Social media. Most of the people started with Negative tweets about covid19, but with increasing time people shifted towards positive and neutral comments. At some time most of the comments are about winning against coronavirus. To understand the people’s opinion towards this pandemic through their tweets, we have tried to come up with an algorithm that will try to analyze the tweets using the modern computational power and some of the advanced algorithms and finally concluded at a point. Sentiment analysis using LSTM (Long Short Term Memory) which is a type of Recurrent Neural Networks, has been applied to tweets having covid19 Hash tags to see people’s reactions to the pandemic. The tweets are classified and labeled as positive, negative, and neutral then visualized the result. Tweets are categorized into three classes and derive some useful patterns from them and trying to come up with some generalized algorithms so that it cannot only be applied for Covid19 or some health-related, rather apply all kind of tweets or some other social media platform such as Instagram or LinkedIn.

This study aims to conduct text mining of affective valence of the sentiments generated on social media during the COVID-19 and measure their association with different outcomes of the disease. 50,000 tweets per day over 23 days during the pandemic were extracted using the VADER sentiment analysis tool. Overall, tweets could effectively be classified in terms of polarity, i.e., “positive,” “negative” and “neutral” sentiments. Furthermore, on a day-to-day basis, the study identified a positive and significant relationship between COVID-19-related (a) global infections and negative tweets, (b) global deaths and negative tweets, (c) recoveries and negative tweets, and (d) recoveries and positive tweets. No significant association could be found between (e) infections and positive tweets and (f) deaths and positive tweets. Furthermore, the statistical analysis also indicated that the daily distribution of tweets based on polarity generates three distinct and significantly different numbers of tweets per category, i.e., positive, negative and neutral. As per the results generated through sentiment analysis of tweets in this study, the emergence of “positive” tweets in such a gloomy pandemic scenario shows the inherent resilience of humans. The significant association between news of COVID-19 recoveries and positive tweets seems to hint at a more optimistic scenario whenever the pandemic finally comes to an end or is controlled. Such public reactions—for good—have the potential to go viral and influence several others, especially those who are classified as “neutral” or fence-sitters.

Cloud computing has evolved to emerge the most topical IT paradigm in recent times. Cloud computing is rapidly transforming the IT landscape. On a pay-as-you-use basis, cloud consumers can access resources, applications and infrastructure provided by cloud providers. Such access could be in form of applications already deployed by cloud providers for use by the cloud users. It could be in form of the capability to develop and deploy user applications using services of a cloud provider. In addition, massive storage infrastructure is available for database and data supplied by the user. The cloud has several unique architectures and many more are still evolving. The primary ones are the SaaS, PaaS and the IaaS that can be deployed on private, public, community and hybrid clouds. This paper examines present developments in the cloud computing architecture and presents guidance for additional research. Papers published in journals, conferences, white papers were analyzed. The objective of this present work is to identify, examine and explain the current trends and development in cloud computing architecture. However, only 13% of the papers examined discussed Others-as-a-Service, while only 26% of the papers reviewed considered issues relating to the major actors involved in cloud computing. This will beneficial to cloud providers, users, and researchers alike

Cloud Computing is a recently emerged model which is becoming popular among almost all enterprises. It involves the concept of on demand services which means using the cloud resources on demand and we can scale the resources as per demand. Cloud computing undoubtedly provides unending benefits and is a cost effective model. The major concern in this model is Security in cloud. This is the reason of many enterprises of not preferring the cloud computing. This paper provides the review of security research in the field of cloud security. After security research we have presented the working of AWS (Amazon Web Service) cloud computing. AWS is the most trusted provider of cloud computing which not only provides the excellent cloud security but also provides excellent cloud services. The main aim of this paper is to make cloud computing security as a core operation and not an add on operation.