Cloud Computing - List of Free Essay Examples And Topic Ideas
Cloud Computing is a technology paradigm that enables ubiquitous access to shared pools of configurable system resources and higher-level services. Essays could delve into the various models of cloud computing like IaaS, PaaS, and SaaS, or discuss its advantages such as cost savings, scalability, and flexibility. Other topics might include challenges and concerns like security and privacy, exploring the impact of cloud computing on traditional IT roles, or discussing future trends in cloud computing like edge computing and serverless computing. Comparisons between cloud service providers, or evaluating the role of cloud computing in digital transformation across various sectors could also be discussed. A vast selection of complimentary essay illustrations pertaining to Cloud Computing you can find in Papersowl database. You can use our samples for inspiration to write your own essay, research paper, or just to explore a new topic for yourself.
Implementing Cloud Computing Within the Public Sector
Introduction Cloud computing is a growing phenomenon that has caught the interest of many organizations and individuals across the globe. This phenomenon, as defined by Mel & Grance (2011), is a model for allowing universal, convenient, and on-demand network access across to a shared pool of configurable computing resources. The services offered by cloud computing stores data in cloud servers and makes these data available through the use of internet facilities. The increasing complexity of computing environments (Choi & Lee, […]
Define and Compare General-purpose, Specialized, Mobile Application Software
· General purpose applications : They are widely used in nearly all career areas , which are kinds of programs we have to know to be considered an efficient and effective end users. Use general purpose applications when working with work processors, spreadsheet, and presentation software. · Specialized applications : Software is a software that is specially designed for an individual or company's specific needs which is also included in thousands of other programs that are more narrowly focused […]
Future Advances in Health Management Information Systems (HMIS)
Introduction Over the years, Health Management Information Systems (HMIS) have come to represent an integral segment in health care benefiting both patients and practitioners alike. It contains interrelating components which ensure the collection of data from the secondary levels and transforming it into information. Here, a conceptual level provides analysis and feedback mechanisms that aid in making informed decisions that are for the benefit of all those involved. Many healthcare centers use it in the collection of routine data that […]
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Character Recognition from Image Using TensorFlow
Abstract Machine Learning (ML) is the study of pc algorithms that improve automatically through experience.  It is visible as a subset of  artificial intelligence. Machine gaining knowledge of algorithms build a  mathematical model  based on sample data, referred to as 'education statistics', in order to make predictions or decisions .Machine mastering algorithms are utilized in a wide style of programs encompass e-mail filtering, detection of network intruders or malicious insiders working towards a facts breach, handwritten individual recognition and pc […]
Cyber Security Threats in Healthcare
Cyberattacks have been targeting the healthcare industry, among the biggest industries in the US, in the 2018 period. The implication is that it has come time to improve the protection of institutional and patient information with a more tailored approach to this threat. In comparison with other industries, many health organizations have engaged in inadequate investment in cybersecurity while spending approximately as much money as other industries. It is quite worrying when phishing cyberattacks, as well as breaches of patient […]
Walmart’s Use of Databases
Introduction Walmart takes their data collection very seriously. They realize how useful data can be to them in a number of fashions. But what kind of data does Walmart collect, and how do they use this data? Does Walmart's data collection expose their paying customers to risks? Walmart uses statistics of flow of customers, purchase records, personal contact information, and internal and external market research (among others) to comprise their data to help them make better business decisions. Walmart uses […]
Anomaly Detection Software on the Ground
In today’s world, business and informational organizations have never been more reliant on software systems for their daily operations and computing tasks. Every day, computer users discover things out of the ordinary, or deviations, that could potentially harm their organization’s security. It could be something as small as a miscalculation or something more serious, like malware. On top of the varying threats, the users and the systems are often tasked with clashing objectives, like increasing productivity while decreasing time and […]
How Software Engineering and Nanotechnology Can be Related
The technology is evolving every day and humanity is relying on it more than anticipated. Scientists trying to figure out how to preserve the ecosystem with different devices. Today, Software development has been essential throughout research understanding computer language and becoming part of our nature. The next level to really see the future, right in front of us, must be Nano scales or Nanotechnology. With this, we can do so much in every field; Find cure of many diseases, build […]
Limits that Artificial Intelligence has
Artificial Intelligence- A Cognitive Task From Siri to self-driving cars, artificial intelligence (AI) is progressing rapidly. While science often portrays artificial intelligence as robots with human-like characteristics, they can surround anything from a smartphone's voice commands to Google's search algorithms. Although AI is considered a huge help in our society today, there are situations where they could be a disadvantage. Artificial intelligence contains risks and conflicts through its advancements on visual perception, speech recognition, and decision making because they only […]
Tools Required for Software Development
Software is being created at a smaller cost than it ever has. Yet, more money is being spent on the engineering of software than ever before. On one side there are single person “teams” that do every part of the planning, design, implementation, testing, deployment and post-delivery maintenance themselves. On the other hand companies like Google, Microsoft and Amazon employ thousands of employees. According to Statista.com, Alphabet (Google’s parent company) alone had over 88,000 full-time employees in more than 50 […]
Management Innovation and Adoption of Emerging Technology
This paper discusses the primary relationship between firms and the adoption of core technology. In particular, the paper examines a firm's ability to adopt emerging core technology through management innovation. The paper reveals that the adoption and organization of technological changes is always faced with numerous challenges, mostly for incumbents. Consequently, a vast number of structural contingent solutions, including parallel organization and separated units, are often embraced as powerful enablers for solving different needs in emerging and existing technologies. However, […]
Semantic Image Inpainting with Deep Generative Models
Abstract Semantic image inpainting is a challenging task?Traditional methods do not recover images well due to the lack of high level context. So we propose a novel method for semantic image inpainting, which generates the missing content by conditioning on the available data. We use Deep Convolution Generative Adversarial Networks (DCGAN) to train a generated model, and then input the code containing the prior information into the model to get the inpainting image. We successfully implemented image restoration on three […]
Two-Dimensional Memory Models
Two-Dimensional Memory Many times we think of memory in terms of a stack, a one-dimensional table. But when we get right down to the gritty details, it becomes a bit more complicated. In this lesson, our focus is on main memory, or more precisely, DRAM (Dynamic Random Access Memory). Since it is dynamic, DRAM needs to be refreshed every 8 milliseconds or so. Think of a standard 4MB block of RAM. If the structure was laid out in one dimension, […]
Apple as the World’s Leader Manufacturer and Seller of Smart Phone
Apple was established in April 1976 by Steve Jobs, Steve Wozniak, and Ronald Wayne. It is an American multinational company headquartered in Cupertino, California. It designs, manufactures, and markets mobile devices, personal computers, and portable digital music devices. The company is widespread internationally in European countries, Greater China, Japan, South America, and Rest of Asia Pacific. Apple’s products and services are iPhone, iPad, Mac, iPod, Apple Watch, Apple TV, professional software applications, iPhone OS, OS X, and WatchOS, iCloud, Apple […]
BIM-VR Synchronization: Challenges and Solutions
There has been a steady increase in the adoption of BIM in the construction and engineering industry, and also in facility management in the past few decades. The next step is to create a framework that will allow BIM models to be translated into virtual reality models in real time. The current issues in developing virtual reality models are many, and need to be addressed. Some of the issues are that the process takes up a lot of time, and […]
Density Based Traffic Control Using Arduino
Traffic congestion in recent times has become a serious problem in big cities because of which it takes more time to travel when compared to the non-peak hours. This delays the delivery of few services, increases noise and air pollution. Many researches are going on in order to control this issue and automating traffic control. One such type is the density-based traffic control system. It significantly saves one’s commuting time and thus helps to enhance productivity. Key words: traffic congestion, […]
New Technologies in Facebook
In the Present computer world, the data on the Internet is getting bigger and bigger. People are living in the data world, from uploading an image on Facebook to sending good morning messages on Whatsapp. In this scenario, Big Data comes into the picture. Big Data denotes data that is beyond the limit of storage capacity. This large amount of data is very difficult to process through classical computers and it is a very big challenge at the hand for […]
Scalable Software-Dened Networking
The networking industry is expected to undergo significant transformation with the rise of emerging technologies such as Software Defined Networking (SDN). SDN overcomes the limitations of traditional networks such as complexity, inconsistent policies, and vendor dependency. It improves the management of large networks, offers greater flexibility, and enhances user experience. However, in reality the transition from the legacy network to an OpenFlow-enabled network does not happen overnight. Due to multi-dimensional challenges such as technical, financial and business challenges. Therefore, […]
IBM is the Result of a Merger of Three Companies
IBM started in 1911 and is the result of a merger of three companies. These three companies are Tabulating Machine Company, the International Time Recording Company, and the Computing Scale Company. At IBM, they strive to be the leaders in the creation, development, and manufacturing of information technology within the industry. These information technologies include computer systems, software, networking systems, storage devices, and microelectronics. The current CEO is Ginni Rometty, and she is also the first woman to be the […]
Google’s Humble Beginnings: a Story of Serendipity and Innovation
In the annals of technological history, few companies have made as significant an impact as Google. The story of its inception is not just a tale of innovation and ambition but also a narrative of serendipity and collaboration. The year 1998 marks the official founding of Google, a moment that has since become a cornerstone in the evolution of the internet and digital technology. Larry Page and Sergey Brin, two Ph.D. students at Stanford University, were the masterminds behind this […]
The Revolutionary Launch of the First IPod: a Milestone in Music History
In the rapidly evolving world of technology, few devices have left as indelible a mark as the iPod. Apple's iconic music player, first introduced on October 23, 2001, not only revolutionized how we listen to music but also marked the beginning of a new era in digital entertainment. To fully appreciate the significance of the iPod, it's essential to understand the context in which it was released and the profound impact it had on both the music industry and consumer […]
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BGFL: a blockchain-enabled group federated learning at wireless industrial edges
In the rapidly evolving landscape of Industry 4.0, the complex computational tasks and the associated massive data volumes present substantial opportunities for advancements in machine learning at industry edg...
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Cost modelling and optimisation for cloud: a graph-based approach
Cloud computing has become popular among individuals and enterprises due to its convenience, scalability, and flexibility. However, a major concern for many cloud service users is the rising cost of cloud reso...
A systematic review on blockchain-based access control systems in cloud environment
The widespread adoption of cloud computing has dramatically altered how data is stored, processed, and accessed in an era. The rapid development of digital technologies characterizes all this. The widespread a...
Optimization model for vehicular network data queries in edge environments
As the Internet of Vehicles advances, the demand for timely data acquisition by vehicle users continues to escalate, albeit confronted with the challenge of excessive data retrieval latency. The emergence of e...
A multi-strategy ontology mapping method based on cost-sensitive SVM
As the core of ontology integration, the task of ontology mapping is to find the semantic relationship between ontologies. Nevertheless, most existing ontology mapping methods only rely ontext information to c...
Domain knowledge free cloud-IDS with lightweight embedding method
The expansion of the cloud computing market has provided a breakthrough in efficiently storing and managing data for individuals and companies. As personal and corporate data move to the cloud, diverse attacks...
Pain assessment from facial expression images utilizing Statistical Frei-Chen Mask (SFCM)-based features and DenseNet
Estimating pain levels is crucial for patients with serious illnesses, those recovering from brain surgery, and those receiving intensive care etc. An automatic pain intensity estimator is proposed in this stu...
A cost-efficient content distribution optimization model for fog-based content delivery networks
The massive data demand requires content distribution networks (CDNs) to use evolving techniques for efficient content distribution with guaranteed quality of service (QoS). The distributed fog-based CDN model...
Toward security quantification of serverless computing
Serverless computing is one of the recent compelling paradigms in cloud computing. Serverless computing can quickly run user applications and services regardless of the underlying server architecture. Despite ...
SMedIR: secure medical image retrieval framework with ConvNeXt-based indexing and searchable encryption in the cloud
The security and privacy of medical images are crucial due to their sensitive nature and the potential for severe consequences from unauthorized modifications, including data breaches and inaccurate diagnoses....
A trusted IoT data sharing method based on secure multi-party computation
Edge computing nodes close to the perception layer of IoT systems are susceptible to data leaks and unauthorized access. To address these security concerns, this paper proposes a trusted IoT data sharing metho...
Wind power prediction method based on cloud computing and data privacy protection
With the support of our government’s commitment to the energy sector, the installed capacity of wind power will continue to grow. However, due to the instability of wind power, accurate prediction of wind powe...
Dependency-aware online task offloading based on deep reinforcement learning for IoV
The convergence of artificial intelligence and in-vehicle wireless communication technologies, promises to fulfill the pressing communication needs of the Internet of Vehicles (IoV) while promoting the develop...
Using blockchain and AI technologies for sustainable, biodiverse, and transparent fisheries of the future
This paper proposes a total fusion of blockchain and AI tech for tomorrow’s viable, rich in diversity and transparent fisheries. It outlines the main goal of tackling overfishing challenges due to lack of tran...
Predictive digital twin driven trust model for cloud service providers with Fuzzy inferred trust score calculation
Cloud computing has become integral to modern computing infrastructure, offering scalability, flexibility, and cost-effectiveness. Trust is a critical aspect of cloud computing, influencing user decisions in s...
When wavelet decomposition meets external attention: a lightweight cloud server load prediction model
Load prediction tasks aim to predict the dynamic trend of future load based on historical performance sequences, which are crucial for cloud platforms to make timely and reasonable task scheduling. However, ex...
Compliance and feedback based model to measure cloud trustworthiness for hosting digital twins
Cloud-based digital twins use real-time data from various data sources to simulate the behavior and performance of their physical counterparts, enabling monitoring and analysis. However, one restraining factor...
Human digital twin: a survey
The concept of the Human Digital Twin (HDT) has recently emerged as a new research area within the domain of digital twin technology. HDT refers to the replica of a physical-world human in the digital world. C...
Deep learning based enhanced secure emergency video streaming approach by leveraging blockchain technology for Vehicular AdHoc 5G Networks
VANET is a category of MANET that aims to provide wireless communication. It increases the safety of roads and passengers. Millions of people lose their precious lives in accidents yearly, millions are injured...
SSF-CDW: achieving scalable, secure, and fast OLAP query for encrypted cloud data warehouse
Implementing a cloud-based data warehouse to store sensitive or critical strategic data presents challenges primarily related to the security of the stored information and the exchange of OLAP queries between ...
Energy-aware tasks offloading based on DQN in medical mobile devices
Offloading some tasks from the local device to the remote cloud is one of the important methods to overcome the drawbacks of the medical mobile device, such as the limitation in the execution time and energy s...
Adaptive heuristic edge assisted fog computing design for healthcare data optimization
Patient care, research, and decision-making are all aided by real-time medical data analysis in today’s rapidly developing healthcare system. The significance of this research comes in the fact that it has the...
Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation
Cybertwin (CT) is an innovative network structure that digitally simulates humans and items in a virtual environment, significantly influencing Cybertwin instances more than regular VMs. Cybertwin-driven netwo...
Attack detection model for BCoT based on contrastive variational autoencoder and metric learning
With development of blockchain technology, clouding computing and Internet of Things (IoT), blockchain and cloud of things (BCoT) has become development tendency. But the security has become the most developme...
MDB-KCP: persistence framework of in-memory database with CRIU-based container checkpoint in Kubernetes
As the demand for container technology and platforms increases due to the efficiency of IT resources, various workloads are being containerized. Although there are efforts to integrate various workloads into K...
Enhancing intrusion detection: a hybrid machine and deep learning approach
The volume of data transferred across communication infrastructures has recently increased due to technological advancements in cloud computing, the Internet of Things (IoT), and automobile networks. The netwo...
An intelligent decision system for virtual machine migration based on specific Q-learning
Due to the convenience of virtualization, the live migration of virtual machines is widely used to fulfill optimization objectives in cloud/edge computing. However, live migration may lead to side effects and ...
Real-time scheduling of power grid digital twin tasks in cloud via deep reinforcement learning
As energy demand continues to grow, it is crucial to integrate advanced technologies into power grids for better reliability and efficiency. Digital Twin (DT) technology plays a key role in this by using data ...
ASOD: an adaptive stream outlier detection method using online strategy
In the current era of information technology, blockchain is widely used in various fields, and the monitoring of the security and status of the blockchain system is of great concern. Online anomaly detection f...
Computational intelligence-based classification system for the diagnosis of memory impairment in psychoactive substance users
Computational intelligence techniques have emerged as a promising approach for diagnosing various medical conditions, including memory impairment. Increased abuse of psychoactive drugs poses a global public he...
Adaptive scheduling-based fine-grained greybox fuzzing for cloud-native applications
Coverage-guided fuzzing is one of the most popular approaches to detect bugs in programs. Existing work has shown that coverage metrics are a crucial factor in guiding fuzzing exploration of targets. A fine-gr...
Non-orthogonal multiple access-based MEC for energy-efficient task offloading in e-commerce systems
Mobile edge computing (MEC) reduces the latency for end users to access applications deployed at the edge by offloading tasks to the edge. With the popularity of e-commerce and the expansion of business scale,...
Multiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and patients by providing accurate and complete patient informa...
Efficiently localizing system anomalies for cloud infrastructures: a novel Dynamic Graph Transformer based Parallel Framework
Cloud environment is a virtual, online, and distributed computing environment that provides users with large-scale services. And cloud monitoring plays an integral role in protecting infrastructures in the clo...
From data to insights: the application and challenges of knowledge graphs in intelligent audit
In recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning, legal research, and financial analysis. In traditional auditin...
HybOff: a Hybrid Offloading approach to improve load balancing in fog environments
Load balancing is crucial in distributed systems like fog computing, where efficiency is paramount. Offloading with different approaches is the key to balancing the load in distributed environments. Static off...
Hierarchical Identity-Based Authenticated Encryption with Keyword Search over encrypted cloud data
With the rapid development of cloud computing technology, cloud storage services are becoming more and more mature. However, the storage of sensitive data on remote servers poses privacy risks and is presently...
Correction to: Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
The original article was published in Journal of Cloud Computing 2024 13 :91
ABWOA: adaptive boundary whale optimization algorithm for large-scale digital twin network construction
Digital twin network (DTN) as an emerging network paradigm, have garnered growing attention. For large-scale networks, a crucial problem is how to effectively map physical networks onto the infrastructure plat...
Distance optimization and directional overcurrent relay coordination using edge-powered biogeography-genetic algorithms
The effective functioning and regulation of power systems crucially rely on the coordination of distance and directional overcurrent relays. Accurate fault detection and successful clearing sequences require s...
Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
Efficient allocation of tasks and resources is crucial for the performance of heterogeneous cloud computing platforms. To achieve harmony between task completion time, device power consumption, and load balanc...
Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks
The Internet of Things (IoT) devices spawn growing diverse social platforms and online data at the network edge, propelling the development of cross-platform applications. To integrate cross-platform data, use...
Privacy-preserving sports data fusion and prediction with smart devices in distributed environment
With the rapid advancement of sports analytics and fan engagement technologies, the volume and diversity of physique data generated by smart devices across various distributed sports platforms have grown signi...
Quantum support vector machine for forecasting house energy consumption: a comparative study with deep learning models
The Smart Grid operates autonomously, facilitating the smooth integration of diverse power generation sources into the grid, thereby ensuring a continuous, reliable, and high-quality supply of electricity to e...
Enhancing multimedia management: cloud-based movie type recognition with hybrid deep learning architecture
Film and movie genres play a pivotal role in captivating relevant audiences across interactive multimedia platforms. With a focus on entertainment, streaming providers are increasingly prioritizing the automat...
MTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices
The rapid advancement of microservice architecture in the cloud has led to the necessity of effectively detecting, classifying, and diagnosing run failures in microservice applications. Due to the high dynamic...
Recognizing online video genres using ensemble deep convolutional learning for digital media service management
It's evident that streaming services increasingly seek to automate the generation of film genres, a factor profoundly shaping a film's structure and target audience. Integrating a hybrid convolutional network ...
A bizarre synthesized cascaded optimized predictor (BizSCOP) model for enhancing security in cloud systems
Due to growing network data dissemination in cloud, the elasticity, pay as you go options, globally accessible facilities, and security of networks have become increasingly important in today's world. Cloud se...
STAM-LSGRU: a spatiotemporal radar echo extrapolation algorithm with edge computing for short-term forecasting
With the advent of Mobile Edge Computing (MEC), shifting data processing from cloud centers to the network edge presents an advanced computational paradigm for addressing latency-sensitive applications. Specif...
Constrained optimal grouping of cloud application components
Cloud applications are built from a set of components often deployed as containers, which can be deployed individually on separate Virtual Machines (VMs) or grouped on a smaller set of VMs. Additionally, the a...
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