Online QoS Prediction in the Cloud Environments Using Hybrid Time-Series Data Mining Approach

Keshavarzi, Amin; Haghighat, Abolfazl Toroghi; Bohlouli, Mahdi

doi:10.1007/s40998-020-00371-z

Cited by 11 publications

(8 citation statements)

References 46 publications

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“…The infrastructures can be integrated with various applications, and the centralized control protocols can be developed using the SDN. One of the advantages of the SDN adoption is the integration with cloud computing where applications can be accessed ondemand [28,29]. This integration will create dynamic networks and reduces infrastructure costs [12,30,31].…”

Section: Overview Of Existing Methodsmentioning

confidence: 99%

The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review

et al. 2021

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As a global community, the Internet is comprised of thousands of administrative entities that operate and interact with each other. Transferring data among these entities is possible due to the process of routing, which is challenging due to the lack of centrality. Consequently, the Border Gateway Protocol (BGP) can play a vital role in the routing process as a central hub for disseminating routing information to the various autonomous systems. Yet, the BGP poses security vulnerability due to the difficulty of validation and authentication. Recent studies argue that it would be beneficial to apply the Software-Defined Networking (SDN) approach to address some of the BGP problems. The SDN can help handle BGP-based networks at a low cost and with minimal complexity. However, there are still many scientific and operational problems in this field of study. The main objective of this paper is to identify the challenges that the BGP facing with respect to the adoption of the SDN. The findings revealed that most researchers focused on improving convergence time, while other essential features such as scalability and privacy were overlooked.

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Section: Overview Of Existing Methodsmentioning

confidence: 99%

The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review

et al. 2021

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“…platform, software and infrastructure) that together supply methods to deliver cloud services (Al-Samarraie and Saeed, 2018). Clouds are data storage and computing systems that combine multiple technologies to link and handle the supported computers' necessary services (Abdel-Basset et al, 2018;Keshavarzi et al, 2021). Sub-indexes of cloud computing include resource virtualization, cost flexibility, pay-per-use style, on-demand self-service, service integration, distributed manufacturing and process reliability.…”

Section: Feasibility Of Intelligent Production Systemsmentioning

confidence: 99%

Assessing the implementation feasibility of intelligent production systems based on cloud computing, industrial internet of things and business social networks

Sun

Yang

2021

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PurposeThe increasing demands for customized services and frequent market variations have posed challenges to managing and controlling the manufacturing processes. Despite the developments in literature in this area, less consideration has been devoted to the growth of business social networks, cloud computing, industrial Internet of things and intelligent production systems. This study recognizes the primary factors and their implications for intelligent production systems' success. In summary, the role of cloud computing, business social network and the industrial Internet of things on intelligent production systems success has been tested.Design/methodology/approachIntelligent production systems are manufacturing systems capable of integrating the abilities of humans, machines and processes to lead the desired manufacturing goals. Therefore, identifying the factors affecting the success of the implementation of these systems is necessary and vital. On the other hand, cloud computing and the industrial Internet of things have been highly investigated and employed in several domains lately. Therefore, the impact of these two factors on the success of implementing intelligent production systems is examined. The study is descriptive, original and survey-based, depending on the nature of the application, its target and the data collection method. Also, the introduced model and the information collected were analyzed using SMART PLS. Validity has been investigated through AVE and divergent validity. The reliability of the study has been checked out through Cronbach alpha and composite reliability obtained at the standard level for the variables. In addition, the hypotheses were measured by the path coefficients and R2, T-Value and GOF.FindingsThe study identified three variables and 19 sub-indicators from the literature associated that impact improved smart production systems. The results showed that the proposed model could describe 69.5% of the intelligence production systems' success variance. The results indicated that business social networks, cloud computing and the industrial Internet of things affect intelligent production systems. They can provide a novel procedure for intelligent comprehensions and connections, on-demand utilization and effective resource sharing.Research limitations/implicationsStudy limitations are as below. First, this study ignores the interrelationships among the success of cloud computing, business social networks, Internet of things and smart production systems. Future studies can consider it. Second, we only focused on three variables. Future investigations may focus on other variables subjected to the contexts. Ultimately, there are fewer experimental investigations on the impact of underlying business social networks, cloud computing and the Internet of things on intelligent production systems' success.Originality/valueThe research and analysis outcomes are considered from various perspectives on the capacity of the new elements of Industry 4.0 for the manufacturing sector. It proposes a model for the integration of these elements. Also, original and appropriate guidelines are given for intelligent production systems investigators and professionals' designers in industry domains.

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“…Cloud computing has been known as an advanced field in information technology (IT) industries due to its attractive features (Angela Jennifa Sujana et al , 2020; Keshavarzi et al , 2021). It develops an environment in which numerous computers are able to combine with different technologies such as network systems, utility computing, etc., and cloud clients are allowed to request different resources anywhere and anytime, which are distributed all around the world (Darwish et al , 2019; Vivekrabinson and Muneeswaran, 2021).…”

Section: Introductionmentioning

confidence: 99%

Toward the efficient service selection approaches in cloud computing

Rahimi

Navimipour

Hosseinzadeh

et al. 2021

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PurposeThis paper follows a systematic literature review (SLR) method covering the published studies until March 2021. The authors have extracted the related studies from different online databases utilizing quality-assessment-criteria. In order to review high-quality studies, 32 papers have been chosen through the paper selection process. The selected papers have been categorized into three main groups, decision-making methods (17 papers), meta-heuristic methods (8 papers) and fuzzy-based methods (7 papers). The existing methods in each group have been examined based on important qualitative parameters, namely, time, cost, scalability, efficiency, availability and reliability.Design/methodology/approachCloud computing is known as one of the superior technologies to perform large-scale and complex computing. With the growing tendency of network service users to utilize cloud computing, web service providers are encouraged to provide services with various functional and non-functional features and supply them in a service pool. In this regard, choosing the most appropriate services to fulfill users' requirements becomes a challenging problem. Since the problem of service selection in a cloud environment is known as a nondeterministic polynomial time (NP)-hard problem, many efforts have been made in recent years. Therefore, this paper aims to study and assess the existing service selection approaches in cloud computing.FindingsThe obtained results indicate that in decision-making methods, the assignment of proper weights to the criteria has a high impact on service ranking accuracy. Also, since service selection in cloud computing is known as an NP-hard problem, utilizing meta-heuristic algorithms to solve this problem offers interesting advantages compared to other approaches in discovering better solutions with less computational effort and moving quickly toward very good solutions. On the other hand, since fuzzy-based service selection approaches offer search results visually and cover quality of service (QoS) requirements of users, this kind of method is able to facilitate enhanced user experience.Research limitations/implicationsAlthough the current paper aimed to provide a comprehensive study, there were some limitations. Since the authors have applied some filters to select the studies, some effective works may have been ignored. Generally, this paper has focused on journal papers and some effective works published in conferences. Moreover, the works published in non-English formats have been excluded. To discover relevant studies, the authors have chosen Google Scholar as a popular electronic database. Although Google Scholar can offer the most valid approaches, some suitable papers may not be observed during the process of article selection.Practical implicationsThe outcome of the current paper will be useful and valuable for scholars, and it can be a roadmap to help future researchers enrich and improve their innovations. By assessing the recent efforts in service selection in cloud computing and offering an up-to-date comparison of the discussed works, this paper can be a solid foundation for understanding the different aspects of service selection.Originality/valueAlthough service selection approaches have essential impacts on cloud computing, there is still a lack of a detailed and comprehensive study about reviewing and assessing existing mechanisms in this field. Therefore, the current paper adopts a systematic method to cover this gap. The obtained results in this paper can help the researchers interested in the field of service selection. Generally, the authors have aimed to specify existing challenges, characterize the efficient efforts and suggest some directions for upcoming studies.

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Online QoS Prediction in the Cloud Environments Using Hybrid Time-Series Data Mining Approach

Cited by 11 publications

References 46 publications

The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review

The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review

Assessing the implementation feasibility of intelligent production systems based on cloud computing, industrial internet of things and business social networks

Toward the efficient service selection approaches in cloud computing

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