Role of Cloud Computing for Big Data: A Review

Das, Madhusmita; Dash, Rasmita

doi:10.1007/978-981-15-6202-0_18

Cited by 11 publications

(5 citation statements)

References 4 publications

(7 reference statements)

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“…While prior research has explored PET adoption in large enterprises, 145 there has been a lack of empirical studies focused specifically on SMEs. Given the differences in resources and size between SMEs and large enterprises, this study aims to identify the most significant TOE determinants for PET adoption in SMEs.…”

Section: Discussionmentioning

confidence: 99%

“…Cost concerns are also a central issue in the adoption of private cloud computing, as the deployment model can be expensive for enterprises. 145 Financial factors, particularly cost, are moderated by the organization’s size, with larger organizations able to more easily afford cloud computing than smaller organizations. 146 The cost of private cloud computing is particularly high, as the enterprise must purchase all necessary servers and pay for staff to manage the cloud.…”

Section: Discussionmentioning

confidence: 99%

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Privacy enhancing technology adoption and its impact on SMEs’ performance

Hasani

Rezania

Levallet

et al. 2023

International Journal of Engineering Business Management

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As society places greater emphasis on information privacy and data protection, organizations are increasingly adopting Privacy Enhancing Technologies (PETs) to safeguard the personal information of their stakeholders. This trend is fueled by growing consumer awareness and the introduction of government regulations aimed at protecting personal data. By implementing PETs, organizations can ensure compliance with privacy regulations and establish trust with their customers. This study aims to deepen the understanding of the determinants of Privacy Enhancing Technology (PET) adoption in small and medium-sized enterprises (SMEs) and its impact on their performance. It focuses on the technology-organization-environment (TOE) model, managerial readiness, firm size, industry sector, and intent to adopt PETs as potential drivers of PET adoption. By using a large-scale survey of 202 Canadian SMEs, the study evaluates the mediating role of intent in the relationship between the TOE model, managerial readiness, and market performance. The results of this study contribute to the growing body of research on PET adoption in SMEs and provide insights for organizations and managers to effectively adopt PETs. The results of this study indicate that technological, environmental, organizational, and managerial readiness have a positive effect on the intention to adopt PETs. Additionally, the intention to adopt PETs was found to have a positive relationship with firm performance. The findings also reveal that the intention to adopt PETs fully mediates the relationship between the four dimensions of readiness and firm performance. These findings highlight the important role that readiness and intention play in the adoption of PETs and its impact on firm performance. This study also found that firm size moderates the relationship between technological and organizational readiness with intention to adopt PETs, as well as the relationship between environmental and managerial readiness with intention to adopt PETs. The study identified the top five factors affecting PET adoption as cybersecurity awareness, perceived cost of adoption, ease of use, perceived benefits, and IT infrastructure. The findings suggest that technological readiness is the most influential of the four dimensions, followed by organizational, environmental, and managerial factors. This study presents crucial considerations for SMEs to evaluate when deciding on the use of PET technologies, as it pertains to practitioners.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Privacy enhancing technology adoption and its impact on SMEs’ performance

Hasani

Rezania

Levallet

et al. 2023

International Journal of Engineering Business Management

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“…In recent years, the rapid development of cloud computing has provided basic support for Big Data [1], Internet of Things [2], Artificial Intelligence [3], and other fields. Autoscaling is one of the important characteristics of cloud computing [4,5], which automatically adjusts computing resources based on service requirements and preset policies.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, autoscaling further reflects the advantages of pay-as-you-go in cloud computing. Cloud vendors such as AWS 1 , Google Cloud 2 and Microsoft Azure 3 have corresponding scaling strategies. According to the scaling policy, autoscaling can be divided into horizontal and vertical scaling [6].…”

Section: Introductionmentioning

confidence: 99%

Autoscaling Method for Docker Swarm Towards Bursty Workload

Huang,

Wang,

Ding

2023

cai

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The autoscaling mechanism of cloud computing can automatically adjust computing resources according to user needs, improve quality of service (QoS) and avoid over-provision. However, the traditional autoscaling methods suffer from oscillation and degradation of QoS when dealing with burstiness. Therefore, the autoscaling algorithm should consider the effect of bursty workloads. In this paper, we propose a novel AmRP (an autoscaling method that combines reactive and proactive mechanisms) that uses proactive scaling to launch some containers in advance, and then the reactive module performs vertical scaling based on existing containers to increase resources rapidly. Our method also integrates burst detection to alleviate the oscillation of the scaling algorithm and improve the QoS. Finally, we evaluated our approach with state-of-the-art baseline scaling methods under different workloads in a Docker Swarm cluster. Compared with the baseline methods, the experimental results show that AmRP has fewer SLA violations when dealing with bursty workloads, and its resource cost is also lower.

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“…Hence, an attention is needed for their smooth working and for their performance enhancement. Various research works has been done related to big data and cloud computing issues, which address the storage part, integration part, their complexities, and their future prospective directions [14][15][16][17][18][19][20]. The Paper [21] explores the issues, the challenges, and the future directions of big data in cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

Waseem¹,

Din

Alshamrani

et al. 2021

Electronics

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Data replications effectively replicate the same data to various multiple locations to accomplish the objective of zero loss of information in case of failures without any downtown. Dynamic data replication strategies (providing run time location of replicas) in clouds should optimize the key performance indicator parameters, like response time, reliability, availability, scalability, cost, availability, performance, etc. To fulfill these objectives, various state-of-the-art dynamic data replication strategies has been proposed, based on several criteria and reported in the literature along with advantages and disadvantages. This paper provides a quantitative analysis and performance evaluation of target-oriented replication strategies based on target objectives. In this paper, we will try to find out which target objective is most addressed, which are average addressed, and which are least addressed in target-oriented replication strategies. The paper also includes a detailed discussion about the challenges, issues, and future research directions. This comprehensive analysis and performance evaluation based-work will open a new door for researchers in the field of cloud computing and will be helpful for further development of cloud-based dynamic data replication strategies to develop a technique that will address all attributes (Target Objectives) effectively in one replication strategy.

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Role of Cloud Computing for Big Data: A Review

Cited by 11 publications

References 4 publications

Privacy enhancing technology adoption and its impact on SMEs’ performance

Privacy enhancing technology adoption and its impact on SMEs’ performance

Autoscaling Method for Docker Swarm Towards Bursty Workload

Quantitative Analysis and Performance Evaluation of Target-Oriented Replication Strategies in Cloud Computing

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