Digital Infrastructure Transformation in Payment Systems: The Convergence of Virtualization, Cloud Computing, and Replication (Published)
This article examines the transformative impact of three key technologies—virtualization, cloud computing, and replication—on modern payment systems. As financial transactions increasingly migrate to digital channels, payment service providers face mounting challenges related to security vulnerabilities, scalability limitations, and reliability concerns. The article explores how these three technological paradigms are being integrated to create robust payment infrastructures capable of meeting contemporary demands. Through analysis of implementation strategies and case studies from industry leaders, the article identifies architectural frameworks and best practices for technology adoption. The article demonstrates that a strategic combination of these technologies enables payment systems to achieve enhanced security through isolation mechanisms, improved scalability through dynamic resource allocation, and superior reliability through distributed processing. This article contributes to the understanding of payment infrastructure evolution and provides a roadmap for payment service providers navigating digital transformation.
Keywords: Cloud Computing, Payment infrastructure, financial technology, replication strategies, virtualization
Real-Time Data Streaming: Transforming FinTech Through Modern Data Architectures (Published)
This comprehensive article explores the transformative impact of real-time data streaming technologies in the financial services sector through four detailed case studies. It examines how leading financial institutions have leveraged modern data architectures, including Apache Kafka, Spark Streaming, AWS Kinesis, and cloud computing platforms, to address critical business challenges. The article demonstrates how these technologies enable instantaneous fraud detection, enhanced customer experience through personalized offerings, streamlined regulatory reporting, and optimized customer acquisition strategies. Throughout the analysis, the article highlights implementation challenges, technical considerations, and valuable lessons learned, providing essential insights for financial organizations seeking to modernize their data infrastructure and maintain a competitive advantage in an increasingly real-time business environment.
Keywords: Cloud Computing, Fraud Detection, customer analytics, financial technology, real-time data streaming
Cloud Computing: Revolutionizing Digital Transformation in the Modern Era (Published)
Cloud computing has revolutionized digital transformation by fundamentally changing how organizations approach their technological infrastructure and business operations. The shift from traditional on-premises systems to cloud-based solutions has enabled unprecedented levels of scalability, efficiency, and innovation across industries. From artificial intelligence integration to edge computing adoption, cloud technologies have democratized access to advanced capabilities while reducing operational costs. Organizations worldwide are embracing hybrid and multi-cloud strategies, prioritizing security through zero-trust architectures, and focusing on sustainable computing practices. The evolution of serverless computing and edge technologies continues to shape the future of enterprise IT, offering new possibilities for innovation while addressing crucial challenges in data processing, security, and compliance.
Keywords: Cloud Computing, Digital Transformation, edge computing, hybrid cloud, serverless architecture
Sustainable Computing in Financial Systems: Environmental Impacts of Cloud vs. On-Premise Architectures (Published)
This article explores the environmental implications of transitioning from traditional on-premise infrastructure to cloud-based architectures in the financial sector. Through comprehensive analysis of carbon footprints, energy consumption patterns, and e-waste production, the article presents quantitative and qualitative assessments of both deployment models. Findings indicate that while cloud environments typically offer significant sustainability advantages through resource sharing and economies of scale, various factors including data center location, implementation strategy, and organizational requirements must be considered for optimal environmental outcomes. The article proposes a framework for financial institutions to evaluate and enhance the sustainability of their IT operations through renewable energy adoption, workload optimization, and responsible hardware lifecycle management.
Keywords: Cloud Computing, Energy Efficiency, e-waste management, financial infrastructure, sustainable technology
Transforming Healthcare through AI-Driven Enterprise Applications: A Comprehensive Analysis (Published)
Artificial intelligence is revolutionizing healthcare delivery through enterprise applications that address critical challenges facing the industry. The convergence of AI technologies with healthcare systems creates transformative capabilities across multiple domains, fundamentally altering traditional approaches to patient care and organizational operations. Leveraging advanced cloud and AI architectures, healthcare entities achieve scalable and secure solutions for analyzing complex medical data, enhancing compliance, addressing cybersecurity risks, and delivering significant cost reductions. System integration initiatives bridge historical information silos, creating unified data ecosystems that provide clinicians with comprehensive patient information at the point of care. Process automation eliminates repetitive administrative tasks that contribute significantly to healthcare expenditures and professional burnout, redirecting human talent toward activities requiring clinical judgment and emotional intelligence. Emerging applications in telemedicine, AI-powered continuous patient monitoring, personalized precision medicine, and accelerated drug discovery showcase AI’s transformative potential to improve care accessibility, facilitate timely interventions, customize treatment approaches, and shorten the therapeutic development lifecycle. This technological transformation represents a paradigm shift in healthcare delivery, simultaneously improving clinical outcomes, enhancing operational efficiency, and reducing systemic costs while creating more personalized and effective patient experiences across the entire continuum of care.
Keywords: Artificial Intelligence, Cloud Computing, Healthcare transformation, System integration, process automation
Impact of Cloud Computing on Information Storage and Retrieval in Selected Judicial Libraries in Bauchi State (Published)
This study surveyed the Impact of Cloud Computing on Information Storage and Retrieval in the selected judicial libraries in Bauchi state. Four objectives were set to guide the study which include: Determining the current state of adopting cloud computing in the selected judicial libraries in Bauchi state; Determining the effect of cloud computing on information storage in selected judicial libraries in Bauchi state; Determining the effect of cloud computing on information sharing in selected judicial libraries in Bauchi state, and Determine the challenges associated with cloud computing in selected judicial libraries in Bauchi state. In line with the objectives, four research questions were answered. The study adopted the survey research design. Forty sets of questionnaires were administered to forty selected judicial library staff in Bauchi state using a random sampling technique. The data collected was analyzed using descriptive statistics of mean and standard deviation. Decisions were taken when the mean is less than 2.50 as not significant and anything above 2.50 as significant. The study found that: The study found that: the current state of adopting cloud computing in the selected judicial libraries in Bauchi state for information management as indicated by the cluster mean of 3.20 ±.72 was to a high extent; There was a high impact of cloud computing on information resource management in the library since the cluster mean is 3.44 ±.61.The impact of cloud computing on information sharing was to high extent since it cluster mean is 3.35 ±.94; and The identified challenges above are affecting the adoption cloud computing in the library studied thereby hindering effective cloud computing 3.29 ±.62. Amongst other recommendations suggested was that, there is the need for the library management to strategize effort on ensuring effective use of cloud computing for information management in the library.
Keywords: Cloud Computing, Impact, Information, judicial libraries, resource sharing, storage
Leveraging Cloud Computing for Collaborative Project Management in the Nigerian Construction Sector: Benefits, Challenges, and Prospect (Published)
This study explores the adoption of cloud-based collaborative project management systems in Nigeria’s construction industry. By conducting a comprehensive literature review, the research focuses on the barriers, benefits, and strategies for effective implementation. Despite the recognized advantages of cloud computing, such as improved collaboration, cost efficiency, and enhanced project delivery, challenges such as poor infrastructure, cybersecurity concerns, and limited digital skills hinder widespread adoption. The research highlights the positive impact of cloud technologies on large firms in urban areas while emphasizing the need for broader infrastructural investments and capacity building across the industry. Suggestions include enhancing digital infrastructure, promoting training programs, developing a regulatory framework tailored specifically for cloud computing within the construction sector, and fostering public-private partnerships. The study also suggests future research directions, including exploring the role of SMEs, assessing the integration of emerging technologies, and evaluating the long-term effects of cloud adoption. By addressing these challenges and opportunities, cloud computing has the potential to transform Nigeria’s construction sector.
Keywords: Cloud Computing, Construction industry, Digital Transformation, Nigeria, Project Management
Query Processing in the Cloud for Big Data Applications Benefits and Risks (Published)
The advent of cloud computing has transformed the landscape of big data processing, offering numerous benefits and presenting certain risks. This paper explores the domain of query processing in the cloud for big data applications, elucidating the advantages and challenges associated with this paradigm shift. Benefits: Scalability: Cloud platforms provide elastic resources, allowing big data applications to scale up or down based on demand. This scalability enables organizations to process vast amounts of data without significant upfront investments in hardware. Accessibility: Cloud-based query processing offers accessibility from anywhere, promoting remote work and collaboration, and facilitating data sharing and analysis among global teams. Risks: Data Security and Privacy: Storing and processing sensitive data in the cloud can pose security and privacy risks if not properly managed. Data breaches and unauthorized access are potential concerns. Data Transfer Costs: Transferring large volumes of data to and from the cloud can result in significant costs, particularly when dealing with extensive datasets. Vendor Lock-In: Adopting cloud services can lead to vendor lock-in, making it challenging to migrate to another provider or back to on-premises infrastructure. This paper delves into these benefits and risks in detail, providing insights into strategies for mitigating the associated challenges and making informed decisions when considering query processing in the cloud for big data applications. The balance between reaping the benefits of cloud scalability and managing the associated risks is crucial in the ever-evolving landscape of big data processing.
Keywords: Accessibility, Big Data, Cloud Computing, Cost Efficiency, Managed Services, Query processing, scalability
An Enhanced Cloud Adoption Framework for the Financial Services Industry: Case of Family Bank in Nairobi County, Kenya (Published)
Despite potential commercial advantages of Cloud computing, institutions in the Financial Services industry are still hesitant to adopt the technology. The problem is that these institutions opt to put their IT services to cloud because of diverse requirements and concerns that are unique to their environment. Existing frameworks for cloud adoption are too general and though they seem to address some concerns, no single framework is entirely adequate by itself to be applied effectively in the Financial Services Industry. There is therefore an IT problem that exists due to lack of an integrated adoption framework that adequately addresses cloud computing concerns for institutions in the Financial Services Industry who are considering the cloud decision. It is on this basis that this research seeks to develop an enhanced cloud adoption framework that can guide cloud adoption in the Financial Services Sector. The study concluded that technology context, organizational context, IT skill level and cloud knowledge of non IT employees, environmental context and IT governance structure has a positive impact on the adoption of cloud computing in the financial services industry.
Keywords: Cloud Computing, enhanced cloud adoption framework
A Lightweight Economic Denial of Sustainability (EDoS) Defence in Cloud Network Using Fog Computing (Published)
Fog computing has recently offered benefit able services to Cloud users such as low latency, mobility support, real-time data process, low bandwidth, improved Quality of Service (QoS), and better security. The auto-scaling and measured service characteristics of both Cloud and Fog networks make them vulnerable to cyber-crimes. Consequently, A Economic Denial of Service (EDoS) takes advantage of Cloud users’ vulnerabilities (i.e., software, protocol, IP addresses) to install malware on their device unknowingly. It makes victims captive through a Botnet controller to continuously send unsolicited packets to the data center, which exhausts the Cloud users service subscription (i.e., networking, compute, storage, memory), making the environment financially unsustainable or leading to bankruptcy. “This paper presents EDoS attack challenges and defense approach using Fog network.
Keywords: Cloud Computing, DDoS, EDoS, Fog Network computing, Fog computing