Cloud Computing Trends: A Literature Review

Taleb, Nasser; Mohamed, Elfadil A.

doi:10.36941/ajis-2020-0008

Cited by 20 publications

(24 citation statements)

References 46 publications

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“…The applications which are not checked or approved by the organization’s mobile security department are highly risky and vulnerable, and may provide loopholes for hackers to get in (Prislan, 2016). As hackers can corrupt an application in a cloud, updated virus and malware protection software is to be installed (Taleb et al , 2020). The following are the best practices for applications-related issues: use the updated cloud services, pay attention to terms and conditions of usage when installing applications, never download applications from unreliable sources, update the antivirus software regularly and regularly upgrade the downloaded applications.…”

Section: Discussionmentioning

confidence: 99%

“…2.6 User's attitude toward service delivery related security issues Virtualized cloud computing mainly provides three types of cloud computing service delivery models: platform as a service (PaaS), software as a service (SaaS) and infrastructure as a service (IaaS) (Taleb et al, 2020). SaaS is a type of cloud computing where a cloud user subscribes to a cloud-provider's software and receives the online delivery of software service (Gallaugher, 2021).…”

Section: User's Attitude Toward Deployment Model Related Security Issuesmentioning

confidence: 99%

“…MCC provides “anytime and anywhere” access using mobile computing, cloud computing and wireless network connecting the mobile with the cloud (Mollaha et al , 2017). MCC is a service of cloud computing which makes the mobile devices resource-full in terms of computational power, memory, storage, energy and context awareness (Taleb et al , 2020). So, complex application processing and large computations are migrated from resource-limited devices such as mobile to resourceful cloud servers (Bhatia and Verma, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Users’ attitude on perceived security of mobile cloud computing: empirical evidence from SME users in China

Palanisamy¹,

Shi²

2022

ICS

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Purpose The purpose of this paper is to rank the users’ attitude on major components of mobile cloud computing (MCC) security and investigate the degree of impact of these components on MCC security as a whole. Design/methodology/approach Hypotheses were evolved and tested by data collected through an online survey-questionnaire. The survey was administered to 363 users from Chinese organizations. Statistical analysis was carried out and structural equation model was built to validate the interactions. Findings The eight components of MCC security in the order of importance are as follows: mobile device related, user identity related, deployment model related, application-level security issues, data related, virtualization related, network related and service delivery related. The empirical analysis validates that these security issues are having significant impact on perceived security of MCC. Practical implications Constant vigilance on these eight issues and improving the level of user awareness on these issues enhance the overall security. Social implications These issues can be used for designing and developing secured MCC system. Originality/value While several previous research has studied various security factors in the MCC security domain, a consolidated understanding on the different components of MCC security is missing. This empirical research has identified and ranked the major components of MCC security. The degree of impact of each of these components on overall MCC security is identified. This provides a different perspective for managing MCC security by explaining what components are most important.

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Section: Discussionmentioning

confidence: 99%

Section: User's Attitude Toward Deployment Model Related Security Issuesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Users’ attitude on perceived security of mobile cloud computing: empirical evidence from SME users in China

Palanisamy¹,

Shi²

2022

ICS

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“…Figure 3 demonstrates the taxonomy of major problems with the CC [5]. This includes: data protection [5], data recovery and availability [5], administrative capabilities [5], regulation and compliance restrictions [5], security [6], capable of adjusting the burden [6], controlling executions [6], load balance, fault tolerance [57], cloud computing governance [102], interoperability and portability [103]. FIGURE 3.…”

Section: The Challenges Of Cloud Computingmentioning

confidence: 99%

A Comprehensive Study of Load Balancing Approaches in the Cloud Computing Environment and a Novel Fault Tolerance Approach

et al. 2020

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The past few years have witnessed the emergence of a novel paradigm called cloud computing. CC aims to provide computation and resources over the internet via dynamic provisioning of services. There are several challenges and issues associated with implementation of CC. This research paper deliberates on one of CC main problems i.e. load balancing (LB). The goal of LB is equilibrating the computation on the cloud servers such that no host is under/ overloaded. Several LB algorithms have been implemented in literature to provide effective administration and satisfying customer requests for appropriate cloud nodes, to improve the overall efficiency of cloud services, and to provide the end user with more satisfaction. An efficient LB algorithm improves efficiency and asset's usage through effectively spreading the workload across the system's different nodes. This review research paper objective is to present critical study of existing techniques of LB, to discuss various LB parameters i.e. throughput, performance, migration time, response time, overhead, resource usage, scalability, fault tolerance, power savings, etc. The research paper also discusses the problems of LB in the CC environment and identifies the need for a novel LB algorithm that employs FT metrics. It has been found that traditional LB algorithms are not good enough and they do not consider FT efficiency metrics for their operation. Hence, the research paper identifies the need for FT efficiency metric in LB algorithms which is one of the main concerns in cloud environments. A novel algorithm that employs FT in LB is therefore proposed.

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“…This technology has five main characteristics [1]: on-demand self-service, broad network access, resource pooling, rapid elasticity and measured service. In addition, Cloud Computing includes three main types of services: Infrastructure as a Service, Platform as a Services, and Software as a Service [2]. There are four different ways to use this technology: Public Cloud, Private Cloud, Community Cloud, and Hybrid Cloud.…”

Section: Introductionmentioning

confidence: 99%

To analysis of a two-buffer queuing system with cross-type service and additional penalties

Gudkova

Vlaskina

Efrosinin

et al. 2021

Discrete and Continuous Models

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The concept of cloud computing was created to better preserve user privacy and data storage security. However, the resources allocated for processing this data must be optimally allocated. The problem of optimal resource management in the loud computing environment is described in many scientific publications. To solve the problems of optimality of the distribution of resources of systems, you can use the construction and analysis of QS. We conduct an analysis of two-buffer queuing system with cross-type service and additional penalties, based on the literature reviewed in the article. This allows us to assess how suitable the model presented in the article is for application to cloud computing. For a given system different options for selecting applications from queues are possible, queue numbers, therefore, the intensities of transitions between the states of the system will change. For this, the system has a choice policy that allows the system to decide how to behave depending on its state. There are four components of such selection management models, which is a stationary policy for selecting a queue number to service a ticket on a vacated virtual machine each time immediately before service ends. A simulation model was built for numerical analysis. The results obtained indicate that requests are practically not delayed in the queue of the presented QS, and therefore the policy for a given model can be considered optimal. Although Poisson flow is the simplest for simulation, it is quite acceptable for performance evaluation. In the future, it is planned to conduct several more experiments for different values of the intensity of requests and various types of incoming flows.

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Cloud Computing Trends: A Literature Review

Cited by 20 publications

References 46 publications

Users’ attitude on perceived security of mobile cloud computing: empirical evidence from SME users in China

Users’ attitude on perceived security of mobile cloud computing: empirical evidence from SME users in China

A Comprehensive Study of Load Balancing Approaches in the Cloud Computing Environment and a Novel Fault Tolerance Approach

To analysis of a two-buffer queuing system with cross-type service and additional penalties

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