Joint Customer/Provider Evolutionary Multi-objective Utility Maximization in Cloud Data Center Networks

Goudarzi, Pejman; Hosseinpour, Mehdi; Ahmadi, Muhammad R.

doi:10.1007/s40998-020-00381-x

Cited by 12 publications

(9 citation statements)

References 34 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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“…Data will be collected from a remote node when local data is not available; data will be discarded once the task is completed. In this method, to be loaded into the file system, a subset of data is chosen that ends with the creation of a replica with low network and processing resources (Goudarzi et al, 2020). This algorithm is being executed individually on each node to replicate data, which will probably be highly available in a short time (Abad et al, 2011).…”

Section: Distributed Data Replicationmentioning

confidence: 99%

Data replication techniques in the Internet of Things: a systematic literature review

Sun

Wang

et al. 2021

LHT

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PurposeIn data grids, replication has been regarded as a crucial optimization strategy. Computing tasks are performed on IoT gateways at the cloud edges to obtain a prompt response. So, investigating the data replication mechanisms in the IoT is necessary. Henceforth, a systematic survey of data replication strategies in IoT techniques is presented in this paper, and some suggestions are offered for the upcoming works. In two key classifications, various parameters dependent on the analysis of the prevalent approaches are considered. The pros and cons associated with chosen strategies have been explored, and the essential problems of them have been presented to boost the future of more effective data replication strategies. We have also discovered gaps in papers and provided solutions for them.Design/methodology/approachProgress in Information Technology (IT) growth has brought the Internet of Things (IoT) into life to take a vital role in our everyday lifestyles. Big IoT-generated data brings tremendous data processing challenges. One of the most challenging problems is data replication to improve fault-tolerance, reliability, and accessibility. In this way, if the primary data source fails, a replica can be swapped in immediately. There is a significant influence on the IoT created by data replication techniques, but no extensive and systematic research exists in this area. There is still no systematic and full way to address the relevant methods and evaluate them. Hence, in the present investigation, a literature review is indicated on the IoT-based data replication from papers published until 2021. Based on the given guidelines, chosen papers are reviewed. After establishing exclusion and inclusion criteria, an independent systematic search in Google Scholar, ACM, Scopus, Eric, Science Direct, Springer link, Emerald, Global ProQuest, and IEEE for relevant studies has been performed, and 21(6 paper analyzed in section 1 and 15 paper analyzed in section 3) papers have been analyzed.FindingsThe results showed that data replication mechanisms in the IoT algorithms outperform other algorithms regarding impressive network utilization, job implementation time, hit ratio, total replication number, and the portion of utilized storage in percentage. Although a few ideas have been suggested that fix different facets of IoT data management, we predict that there is still space for development and more study. Thus, in order to design innovative and more effective methods for future IoT-based structures, we explored open research directions in the domain of efficient data processing.Research limitations/implicationsThe present investigation encountered some drawbacks. First of all, only certain papers published in English were included. It is evident that some papers exist on data replication processes in the IoT written in other languages, but they were not included in our research. Next, the current report has only analyzed the mined based on data replication processes and IoT keyword discovery. The methods for data replication in the IoT would not be printed with keywords specified. In this review, the papers presented in national conferences and journals are neglected. In order to achieve the highest ability, this analysis contains papers from major global academic journals.Practical implicationsTo appreciate the significance and accuracy of the data often produced by different entities, the article illustrates that data provenance is essential. The results contribute to providing strong suggestions for future IoT studies. To be able to view the data, administrators have to modify novel abilities. The current analysis will deal with the speed of publications and suggest the findings of research and experience as a future path for IoT data replication decision-makers.Social implicationsIn general, the rise in the knowledge degree of scientists, academics, and managers will enhance administrators' positive and consciously behavioral actions in handling IoT environments. We anticipate that the consequences of the present report could lead investigators to produce more efficient data replication methods in IoT regarding the data type and data volume.Originality/valueThis report provides a detailed literature review on data replication strategies relying on IoT. The lack of such papers increases the importance of this paper. Utilizing the responses to the study queries, data replication's primary purpose, current problems, study concepts, and processes in IoT are summarized exclusively. This approach will allow investigators to establish a more reliable IoT technique for data replication in the future. To the best of our understanding, our research is the first to provide a thorough overview and evaluation of the current solutions by categorizing them into static/dynamic replication and distributed replication subcategories. By outlining possible future study paths, we conclude the article.

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“…Virtualization is known as a fundamental cloud computing technology and offers an efficient way to manage dynamic resources in cloud data centres using some well‐known methods, such as clustering [16, 17]. The VMs are separated from each other, and they can act as a whole system to execute users' applications [18]. Also, the physical machine (PM) as a server or host of VMs provides all required VM resources, including network bandwidth, storage, memory, and CPU [19].…”

Section: Introductionmentioning

confidence: 99%

A multi‐objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm

et al. 2021

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Cloud computing is a rapidly evolving computational technology. It is a distributed computational system that offers dynamically scaled computational resources, such as processing power, storage, and applications, delivered as a service through the Internet. Virtual machines (VMs) allocation is known as one of the most significant problems in cloud computing. It aims to find a suitable location for VMs on physical machines (PMs) to attain predefined aims. So, the main purpose is to reduce energy consumption and improve resource utilization. Because the VM allocation issue is NP-hard, meta-heuristic and heuristic methods are frequently utilized to address it. This paper presents an energy-aware VM allocation method using the improved grey wolf optimization (IGWO) algorithm. Our key goals are to decrease both energy consumption and allocation time. The simulation outcomes from the MATLAB simulator approve the excellence of the algorithm compared to previous works.

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Joint Customer/Provider Evolutionary Multi-objective Utility Maximization in Cloud Data Center Networks

Cited by 12 publications

References 34 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

Data replication techniques in the Internet of Things: a systematic literature review

A multi‐objective method for virtual machines allocation in cloud data centres using an improved grey wolf optimization algorithm

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