Cloud Computing Services Research Articles

A Proposed Architecture for Local-Host and AWS with Multiagent System

Cloud computing has become one of the leading technologies in the world today. The benefits of cloud computing affect end users directly. There are several cloud computing frameworks, and each has ways of monitoring and providing resources. Cloud computing eliminates customer requirements such as expensive system configuration and massive infrastructure while improving dependability and scalability. From the user’s perspective, cloud computing makes it easy to upload multiagents and operate on different web services. In this paper, the authors used a restful web service and an agent system to discuss, deployments, and analysis of load performance parameters like memory use, central processing unit (CPU) utilization, network latency, etc., both on localhost and an Amazon Web Service Elastic Cloud Computing (AWS-EC2) server. The Java Agent Development Environment (JADE) tool has been used to propose an architecture and conduct a comparative study on both local and remote servers. JADE is an open-source tool for maintaining applications on AWS infrastructure. The focus of the study should be to reduce the complexity and time of load performance parameters by using an agent system on a cloud server instead of establishing a massive infrastructure on a local system, even for a small application.

Research of Cloud Computing Service System Supporting the Construction of Digital Villages

Research of Cloud Computing Service System Supporting the Construction of Digital Villages

Assessment of benefits and disadvantages of implementing Cloud-specific solutions in Polish companies on the example of ERP systems

The rapid development of Information Technology has led to the emergence of Cloud Computing as a vital tool for businesses seeking cost-effective and efficient IT solutions. This study aims to investigate the perception, advantages, disadvantages, and future predictions related to Cloud Computing among Polish companies, particularly focusing on the implementation of Enterprise Resource Planning (ERP) systems. The research question addressed is: how is the Cloud perceived by Polish companies? A survey was conducted among Small and Medium-sized Enterprises (SMEs) utilizing Cloud-based solutions in their everyday operations.The findings indicate that the primary goals for implementing Cloud Computing services were limiting operational costs, improving work efficiency, and achieving better accessibility. Technological, organizational, economic, and social benefits were identified, with the most important being higher efficiency of IT solutions, ease of utilization of IT resources, reduction of IT-related investment risk, and the development of knowledge and stimulation of employee activity. The study also revealed potential future trends, such as IT-oriented standardization, cost reduction, and improved quality of IT technologies. However, some concerns related to security and the impact of Cloud Computing on the environment were also highlighted.

Cloud Computing Based Computing System for Women's Higher Education in Isolated Areas

A new chapter in information technology is opened by cloud computing in computer science and engineering education. Understanding the importance of using cloud computing (CC) in institutions of higher learning is the aim of this research. This analysis shows some of the benefits that cloud computing can provide to higher education, assesses some of the most significant challenges that academics may encounter as a result of its implementation, and suggests some initial steps toward its adoption while mitigating the risks associated. Enterprise apps have migrated in large numbers to the cloud in recent years. One of the challenges posed by cloud applications is the challenge of allocating resources to the application to ensure a service level along dimensions like performance, availability, and dependability. To do this, a system based on the infrastructure of governmental bodies, non-governmental organisations (NGOs), academic institutions, and other providers of social services has been established. The results of this analysis demonstrate that it is possible to use a few variables, including administrative bodies and governments, internal stakeholders, cloud suppliers, firm attributes, socio-political changes, IT framework, and others, to understand how CC adoption methodologies are used in higher education institutions. In addition to providing insight into how cloud providers, advisers, governments, and academics see various market demands and how they respond to these expectations while expanding services provided by CC in higher education institutions, this analysis opens opportunities for future research. The implications for practice can aid decision-makers in utilizing CC services legally.

Assessing the Intention to Adopt Cloud Accounting during COVID-19

The information technology (IT) revolutionization aside with the emergence of COVID-19 have catalyzed cloud-computing services and systems with multiple end-user benefits for online business management, specifically in the accounting discipline. For example, cloud accounting enables the significant reduction of organisational IT investment with flexible access to a large group of scalable resources. The cloud accounting enables small and medium size enterprises (SMEs) to independently engage in fundamental bookkeeping responsibilities rather than hiring external auditors for the same services. As cloud-based accounting adoption remains in the preliminary stage within Jordanian businesses, this study applied the technology, organisation, and environment model to explore cloud accounting among Jordanian SMEs. The study data were gathered from 156 Jordanian SME owners or managers with a structured online survey questionnaire. The recommended study framework encompassed seven determinants that influenced the cloud accounting adoption intention. Resultantly, except Perceived knowledge uncertainty factor, the proposed hypotheses were supported as the aforementioned factors (relative advantages, security concerns, top management support, organizational readiness, competitor’s intensity and suppliers computing support) positively and significantly influenced the cloud accounting of Jordanian SMEs. The study outcomes could facilitate IT field decision-makers and practitioners by investigating an actual cloud accounting case based on the essentiality of its application.

Scaling Optical Interconnects for Hyperscale Data Center Networks

Due to widespread applications and rapid development of cloud computing and Internet services, hyperscale data centers have experienced an unprecedented demand for networking. Data center networks are required not only to handle fast-growing traffic, which doubles almost every one to two years, but also to provide high flexibility and availability to support rapidly changing businesses as well. Therefore, hyperscale data center networks have become one of the main drivers for optical interconnect technologies in recent years. In this article, technologies for scaling optical interconnects for inter-data center interconnects (DCIs) are presented. We first describe hyperscale data center network architectures and requirements, as well as the differences between carrier’s optical transport networks and DCI optical networks, with the main focus on metro-DCI and campus-DCI networks. The scale and fast growth rates of DCI networks require innovations not only in data plane technologies but also in control and management planes as well. In data planes, high-capacity flexible coherent technology, pluggable wavelength-division-multiplexing (WDM) optical transponders, including 100G direct-detection four-level pulse-amplitude modulation (PAM4) and coherent 400ZR/800ZR, and flex-grid and disaggregated reconfigurable optical add-drop multiplexer (ROADM) optical networks are described. Control and management planes are an integral part of optical transport networks and crucial for effectively operating DCI networks. We show that standard protocols, data models, and modular design of a software platform are essential to building a scalable open and disaggregated optical network, which is fundamental to enabling high automation and intelligence in an optical network. An example control and management platform is discussed in detail. With current fiber capacity approaching the nonlinear Shannon limit, challenges to further scale DCI networks and some potential technologies to support ever-increasing traffic growth are discussed at the end.

Improving PHIRI performance and scalability: working within EGI-ACE

Abstract EGI-ACE is a 30-month H2020 project (Jan 2021 - June 2023) with a mission to empower researchers from all disciplines to collaborate in data- and compute-intensive Open Science, enabled by free-at-point-of-use services that are delivered through the European Open Science Cloud (EOSC). EGI-ACE delivers the EOSC Compute Platform (ECP), a federated system of compute and storage infrastructure extended with platform services to support diverse types of data processing and data analytics cases. The ECP currently includes High Throughput Compute (HTC) and Cloud Compute facilities, and will broaden its scope with High Performance Compute services later in 2022. The platform layer of the ECP provides assistance for single sign-on, transfer and federation of distributed data, interactive computing, management of large numbers of jobs, orchestration of compute clusters, AI and machine learning tasks. There are over 25 thematic services in EOSC that build on the ECP, and deliver scalable data analysis for different domains, from astrophysics, through life sciences, environmental sciences, to humanities. PHIRI participates in EGI-ACE as one of the ‘Early Adopters’ of the ECP. Under the EGI-ACE workplan PHIRI will explore reproducible population health workflows with the use of cloud computing, single-sign-on, Jupyter Notebooks and Binder services of the ECP. The tests will enable PHIRI to scale out existing data analysis notebooks to big capacity machines, to reproduce simulations and models across users, and to overall validate the technological and sustainability approaches of EGI-ACE. PHIRI will also advise the project on best ways to introduce secure processing capabilities within the ECP services.

E-market Analysis through Quantitative Classification of E-business Model with Consideration as a Service Cloud Computing

E-market Analysis through Quantitative Classification of E-business Model with Consideration as a Service Cloud Computing

A resource allocation method of the product−service process based on process mining

With the evolution of product service systems, as well as the proposal and wide application of cloud computing and big services, more and more manufacturing enterprises are turning from being product oriented to service oriented. A difficult aspect is that with the growth of customer scale and the personalization of customer service needs, service providers cannot rely on their own resources to fulfill services. Moreover, meeting the needs of customers often requires a complete and complex service. Therefore, the service provider has to provide cross-enterprise collaborative services and coordinate the resources of all participants in the product service system to complete the services together. This research proposes a novel resource allocation method for product service systems that adopt the bilateral resource integration service mode and considers the service process life cycle. Based on the process mining techniques, this method extracts knowledge from the execution event log of the service process stored in the enterprise information system, constructs the resource allocation problem model, and gives the process mining-based resource allocation algorithm (PMRA). We use an air conditioner repair service as a case to verify the method proposed in this study. The contribution of this study is to propose a new method of resource allocation for cross-enterprise product−service processes based on process mining techniques, which takes into account empirical knowledge from historical data and can provide a new idea for service optimization of product service systems.

The Effect of Cloud Computing's Advantages and Components on Time Savings and Data Privacy for the Quality of Electronic Banking Services

Purpose: The study aims how the advantages and components of cloud computing affect time savings and data confidentiality to improve the standard of electronic banking services for private Iraqi commercial banks Theoretical framework: the purpose of the study to measure the benefits the Cloud computing and impact of the quality of electronic banking in services of saving time and confidentiality of data to know if we can serve bank customers in the future. Design/methodology/approach: The study relied on the descriptive approach through the use of a questionnaire tool to measure the relationship between the variables. Findings: The analysis revealed that, in both of its two dimensions, there is a statistically significant correlation between the advantages of cloud computing and the quality of electronic banking services. The two variables of the quality of electronic banking services and the components of cloud computing are statistically significantly correlated. Research, Practical & Social implications: The social repercussions of the benefits of the results of the study through the findings it’s; the most essential of which is to guarantee that the provided electronic banking service is as simple to use as possible. This removes the state of fear that could prevent some people from using electronic services because they lack the necessary knowledge. Originality/value: the value of the study's originality by measuring the relationship between the cloud computing and electronic banking services; this study is a subject which has not been reviewed in the literature previously in Iraqi environment.

How businesses of any size can use AI in a digital marketing strategy

In recent years it has been said that data is the new oil and marketing departments have never had much data to work with. At the same time, big tech companies are investing huge sums into artificial intelligence and machine learning (AI/ML) while making access to these tools easily available through cloud-computing services. This convergence of data abundance and easy access to AI/ML technology has created a huge opportunity for marketers to become more efficient and more effective through the use of AI. However, marketers are still struggling to take advantage of the opportunities presented by marketing AI technology due to a lack of knowledge within the profession. Organisations are educating marketing professionals through frameworks such as the 5Ps of Marketing AI to help identify use cases. The AI/ML marketing deployment matrix helps marketing professionals self-assess their organisation to better identify ways to utilise AI for their situation.

Investigation of Fake Insider Threats on Private Cloud Computing Services

Cloud-based services are service system mechanisms used by companies or organizations in conducting computerized and integrated transactions in a computer network. A service system must of course be balanced with a level of security. This is used to anticipate cyber crimes that have the potential to occur. Cloud-based services themselves are usually offered by a Cloud Service Provider (CSP). CSPs are generally configured so that they are accessible on the public internet for their services. Companies that prioritize data security want a system that is safe from a series of cyber crimes. Private cloud computing scheme is a solution that can be implemented as an alternative. The problem that occurs is the possibility of MITC (Man in the Cloud) attacks that infiltrate and manipulate identities so that they are detected as fake insider threats on cloud systems. This thesis aims to carry out threat analysis with the Man in the Cloud attack technique on private cloud computing services based on a study of the ISO 27032 standard. Reports and documentation of the results of the analysis are expected to become recommendations for the cybersecurity investigation and management process related to threats to cloud services with private schemes cloud computing.

Hinders of Cloud Computing Usage in Higher Education in Iraq: A Model Development

Cloud computing (CC) is a trendy technology that is being used in business and daily life. However, limited studies is found on higher education usage. The barriers and obstacles that confront the usage is not clear and in particular in developing countries. The purpose of this study is to examine the barriers and obstacle that confront the usage CC services in Barash University in Iraq. Using the technology organization environment framework and the internal external factor (IE-TOE), the study proposed the conceptual framework. The data was collected from academic, non-academic staff and students using convivence sampling technique. The data was analyzed using Smart PLS. The findings showed that organizational obstacle followed by technological, internal and external factors, and environmental factors are the most severe obstacles that confront the university in using CC services. Decision makers can benefit from the developed model to ease the implementation of CC.

SaaS Service Combinatorial Trustworthiness Measurement Method Based on Markov Theory and Cosine Similarity

With the rapid progress of information technology, cloud computing and cloud services are widely accepted and applied to all aspects of social life. In the cloud computing environment, SaaS (Software-as-a-Service) services have become the main form of software services. For SaaS services, evolutionary and iterative development methods have become the main methods of software system construction. For systems with high trustworthiness, the independent trustworthiness of each SaaS service has a great impact on the overall status. However, SaaS services with high independent trustworthiness do not always build highly trusted software systems. The combinatorial trustworthiness between SaaS services is as important as the independent trustworthiness of each SaaS service. This paper takes combinatorial trustworthiness between SaaS services as the research object. Combinatorial trustworthiness measurement method based on Markov and cosine similarity theory is proposed. The feasibility and effectiveness of the proposed method are verified through simulation experiments. Applicable scenarios, advantages, and disadvantages of the proposed method are shown through the comparison of different measurement methods. The proposed method provides theoretical and technical support for users to select SaaS services suitable for their application scenarios, build cloud service systems, and monitor the operation status of cloud service systems.

DAG-Based Smart Contract for Dynamic 6G Wireless EVs Charging System

This study proposes a novel secure and lightweight charging scheduling framework approach to provide the customization of edge computing services and personalized edge computing services for Moving EVs (MEVs) and Parking EVs (PEVs) in 6G heterogeneous Vehicular Networks (HetVNETs). A DAG-based smart-contract well-protected edge computing structural design is specially designed in the scheme by taking the wireless charging models into account including the attributes of 6G smart devices, where each vehicle network infrastructure copes with some more EVs in parking station wireless zone (PEVs) to make computing services whole through a wireless task. Each communication network handles a group of Electric Vehicles (EVs) in the parking zone to fulfill Cloud Computing Services (CCS) in wireless charging tasks. With this architecture, the collaborative computing resource allocation (CCRA) algorithm is developed to assist each network computing and communication hardware and software systems in deciding a customized service strategy (CSS) to fulfill the fast wireless charging and secure easy access of MEVs based on the widely available computational complexity solution held by various network infrastructures.

Block chain enabled auditing with optimal multi‐key homomorphic encryption technique for public cloud computing environment

SummaryCloud storage is a significant cloud computing (CC) service which enables the client to save and retrieve the data at anytime and anywhere. Due to the increased demand and familiarity of the CC environment, different kinds of security threats and susceptibilities are raised. Data integrity and privacy are the major problems in CC environment where the data can be saved in distinct geographic regions. So, privacy preservation and data integrity become important factors of the user concern related to the CC environment. Several auditing protocols are majorly dependent upon the conventional public key infrastructure, which led to high computational complexity and it is unsuitable for the setting of multiple users. To resolve these issues, this study develops a new block chain enabled auditing with optimal multi‐key homomorphic encryption (BEA‐OMKHE) technique for public cloud environment. The proposed BEA‐OMKHE technique aims to assure data integrity, security, and auditing in public cloud storage. Besides, an OMKHE technique is derived to accomplish data integrating into the cloud environment by the design of end to end encryption system. A secure generation of keys and encryption processes are carried out by the use of MKHE technique; thereby the data becomes highly secure. In addition, the choice of keys is performed by the improved beetle antenna search optimization (IBAS) algorithm. Therefore, the proposed BEA‐OMKHE technique offers an efficient way of enhancing the data integrity in CC method. The performance validation of the BEA‐OMKHE technique takes place and the results are inspected under various aspects. The comparative result analysis ensured the betterment of the BEA‐OMKHE technique interms of different measures such as communication cost, encryption time, decryption time, computation cost, privacy preserving rate, and authentication accuracy.

The Application of Cloud Computing Service and Voicematic Identification Intelligence in the Supply Chain during the COVID-19 Pandemic

After the outbreak of the COVID-19 pandemic, cloud computing and voice recognition services have provided a more critical role in the enterprise supply chain management process. Speech emotion recognition technology can identify the content and emotion of the speaker according to the content and tone of speech. Analyzing the attitude and tone behind a statement through language and high-level information acquisition is very difficult. Cloud computing technology is becoming more widely used each day and is the cornerstone of enterprise information development. The anti-globalization caused by COVID-19 has made enterprises pay increasing attention to supply chain management. Determining how to optimize and integrate the supply chain has become an urgent problem for enterprises. Based on the work and research completed in this field, this paper first analyzes the algorithm and model used in speech recognition and then tests the system. To improve the utilization rate of enterprise resources and enterprise industrial benefits, this paper puts forward the optimization scheme of the enterprise supply chain from the perspective infrastructure construction to product development to backstage management and procurement.

Local Cloud Computing Service Adoption in Nigeria: Challenges and Solutions

Cloud momentum seems unstoppable in Nigeria, as businesses and organizations in the country see less and less advantage in the slog of maintaining their infrastructure. The shift to the cloud in today's COVID-19 driven world has created an opportunity for investments to improve local cloud computing services. However, there are key challenges that must be addressed by the local cloud service providers in the country in order not to lose out to the foreign cloud service providers. This paper assessed the challenges to local cloud computing services adoption among sixty-seven (67) businesses and organizations in Nigeria. The research employed a non-probability purposive sampling approach. The surveyed data were obtained through an online form which was distributed via Linkedln. Descriptive and inferential analysis was used in analyzing the collected data via IBM SPSS software. Findings from the research showed the key challenges to include inadequate awareness of local cloud service vendors, poor innovation and local content, inadequate cloud infrastructure, local cloud vendor interoperability issue, national insecurity, shortages in skilled personnel, Service Level Agreement (SLA), security strategies, privacy, compliance terms, and requirements issues. Thus, adequate local cloud service offerings, skilled personnel, and the IT infrastructural backbone of the country have to be well established to increase the trust in local cloud computing, open up Nigeria to offshore markets while driving economic competitiveness and growth.

Utilizing power consumption and SLA violations using dynamic VM consolidation in cloud data centers

Cloud Computing services can be accessed anytime, anywhere via the Internet. The overwhelming growth of cloud data centers over the past decade has increased their costs as energy demands have risen. As a result, higher carbon dioxide emissions and other greenhouse gasses are putting a strain on our ecosystem. The main objective of this study is to reduce the power consumption in cloud computing with no or negligible trade-offs in quality of service. This paper presents a new algorithm called the energy efficiency heuristic using virtual machine consolidation to minimize the high energy consumption in the cloud. By setting two thresholds, hosts are classified into three main classes. The designed model reallocates virtual machines from one physical host to another to minimize energy consumption. The results of the proposed algorithm have been obtained in terms of virtual machine migrations, performance degradation caused by migration, service level agreement violations, and execution time, showing a significant improvement over state-of-the-art techniques.

Cloud Computing: A Review Paper

Abstract: Cloud computing is a major aspect for present time. In today’s world, it is going to became a part of life as it makes the work easy at every region as in business sector or for students or in any sector where we need to store data. With the help of cloud computing, life of people became easy because we don’t have to carry data in the form of register and log, we can simply check our data anywhere by my personal handset or personal laptop. It is more secure as well. It is less costly than other traditional computing. In this paper we will discuss about the services of cloud computing, then about the types of cloud computing, after that we will discuss its important factor that how is it beneficial for us? How can we use it in daily life? We will also discuss about the challenges happening in future due to spread of cloud computing