Cloud Computing Architecture: A Critical Analysis

Odun-Ayo, Isaac; Ananya, M B; Agono, Frank; Goddy-Worlu, Rowland

doi:10.1109/iccsa.2018.8439638

Cited by 70 publications

(30 citation statements)

References 25 publications

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“…If the connection to the user is relatively close, it may be designated as an edge server. The clouds may be limited to a single organization (enterprise clouds) or be available to many organizations (public cloud), or a combination of both (hybrid cloud) [72]. Cloud computing relies on sharing of resources to achieve coherence and economies of scale.…”

Section: Figure 5 Iots Supported Mobile Computingmentioning

confidence: 99%

Contemporary Development in E-Learning Education, Cloud Computing Technology & Internet of Things

Matthew¹,

Kazaure²,

Okafor³

2018

EAI Endorsed Transactions on Cloud Systems

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The enterprise educational environment will involve big data technology, cloud computing, Internet of Things (IoT) and artificial intelligence (AI), which will characterize the current society extreme automation and enterprise productivity through reinventing the new world educational reform. This current paper captured the manageability issues in electronic learning environments and explored ways through which the managerial performances could be improved in the perspective of electronic learning investments through incorporation of context-awareness and self-reconfiguration adaptive systems. The aim is to allow the open source electronic learning system to provide educators, administrators, and learners with a single robust and integrated system for creating a personalized and autonomous learning accomplishments. The paper reviewed the contemporary development in electronic learning system in internet of things and cloud computing and established the prospect for the continued educational investment. A survey of four tertiary institution in the south eastern Nigeria provided a justification for the adoption of cloud computing technology as the best alternative approach for organizational data warehousing in the ongoing society automation. The result of the paper indicated that technology implementation in schools are fundamental to students' academic accomplishment, which made it obviously imperative that teachers in the 21st century should adjust digitally and technologically and prepare students for the opportunities in the emerging digital new world. The paper concluded that the successful curriculum implementation in the twenty first century will require a blend of technology innovation and enterprise platform adaptability as potential leverages in achieving the global educational sustainability.

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Section: Figure 5 Iots Supported Mobile Computingmentioning

confidence: 99%

Contemporary Development in E-Learning Education, Cloud Computing Technology & Internet of Things

Matthew¹,

Kazaure²,

Okafor³

2018

EAI Endorsed Transactions on Cloud Systems

View full text Add to dashboard Cite

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“…The front end is made available to the user over Internet connection, allowing the system to communicate with the user. [7]. The back end includes the different models of cloud services:…”

Section: Cloud Computing Servicesmentioning

confidence: 99%

“…Odun-Ayo et al [7]. The key objective of the authors is to define, analyze and clarify the emerging developments and growth in the architecture of cloud computing.…”

Section: Smentioning

confidence: 99%

“…The Internet of Things is a term rich with many specifics and modern technologies that, luckily, are set to change life dramatically in our modern world. This means that the IoT is a wide community of devices that are interconnected used to collect and exchange information between devices and to store, evaluate, or analyze the effects of that information [7]. Stadium operators are in a squeeze game between customers expecting a more immersive experience and host stadium seeking higher returns on the dynamic investments of their sport.…”

Section: Introductionmentioning

confidence: 99%

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Smart Stadium using Cloud Computing and Internet of Things (IoT): Existing and New Models

Mahdi¹,

Aljuboori²,

Ali³

2021

IJCATR

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In our life technology is important there are two entirely various technologies are cloud computing and the IoT and both are very portion of our lives. They are supposed to be more common in their acceptance and use, making them essential ingredients of the future Internet worldwide. Because of the lack of time in our working life and the follow-up of all operations that we must follow before any match is held on any stadium in the world. An aspect of precautionary measures is discussed here before every match. In this research, a discussion was conducted on how to integrate cloud computing and the IoT and use them to work in developing stadiums in the word and made it smart. Several existing and new models of smart stadium are although explained.

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“…Thus, the proposed Load Balancing algorithm is developed mainly focusing on the IaaS model out of the three service models in the cloud where authors deal with the Cloud Computing technology's backend, such as server workload. There are two components in a typical cloud environment: the frontend is the user side, and it is accessible by connecting to the Internet [7]. The backend side handles the cloud service models where the Data Center store multiple physical machines (known as servers).…”

Section: Introductionmentioning

confidence: 99%

A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications

et al. 2021

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Despite the many past research conducted in the Cloud Computing field, some challenges still exist related to workload balancing in cloud-based applications and specifically in the Infrastructure as service (IaaS) cloud model. Efficient allocation of tasks is a crucial process in cloud computing due to the restricted number of resources/virtual machines. IaaS is one of the models of this technology that handles the backend where servers, data centers, and virtual machines are managed. Cloud Service Providers should ensure high service delivery performance in such models, avoiding situations such as hosts being overloaded or underloaded as this will result in higher execution time or machine failure, etc. Task Scheduling highly contributes to load balancing, and scheduling tasks much adheres to the requirements of the Service Level Agreement (SLA), a document offered by cloud developers to users. Important SLA parameters such as Deadline are addressed in the LB algorithm. The proposed algorithm is aimed to optimize resources and improve Load Balancing in view of the Quality of Service (QoS) task parameters, the priority of VMs, and resource allocation. The proposed LB algorithm addresses the stated issues and the current research gap based on the literature's findings. Results showed that the proposed LB algorithm results in an average of 78% resource utilization compared to the existing Dynamic LBA algorithm. It also achieves good performance in terms of less Execution time and Makespan.

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Cloud Computing Architecture: A Critical Analysis

Cited by 70 publications

References 25 publications

Contemporary Development in E-Learning Education, Cloud Computing Technology & Internet of Things

Contemporary Development in E-Learning Education, Cloud Computing Technology & Internet of Things

Smart Stadium using Cloud Computing and Internet of Things (IoT): Existing and New Models

A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications

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