Bonus computing: towards free-of-charge metacomputing in the public cloud

Computing ◽  
2021 ◽  
Author(s):  
Zheng Li ◽  
Pedro Pinacho-Davidson ◽  
Monserrat Martínez-Marin ◽  
Guillermo Cabrera-Vives ◽  
Yiqun Chen ◽  
...  
Keyword(s):  
Author(s):  
M. Chaitanya ◽  
K. Durga Charan

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.


Author(s):  
Jitendra Singh ◽  
Vikas Kumar

Regulatory compliance is equally binding on small and medium business groups. Owing to the small scale and limited budget, such SMBs are unable to seek expert advice. To adequately guard the SMBs in regulatory compliance, the present work proposed a third-party managed-end user-driven approach that renders the list of regulatory acts applicable in one's case according to the country of one's residence, services subscribed, and type of the operations to be carried out in subscribed cloud paradigm. The list of applicable regulatory acts are rendered at the subscriber's end only. In addition, the proposed method notifies the present state of compliance of under-considered cloud providers. Based on the recommendation received, the subscriber can proceed with his decision to subscribe or not to subscribe in the event if desired compliances do not exist. This technological assistance will eliminate the need to possess the required knowledge in regulatory acts or seeking advice from the regulatory expert.


Author(s):  
Bamidele Ola ◽  
Iyobor Egho-Promise

The emergence of ecommerce almost three decades ago has completely transformed the approach to purchasing goods and services across various countries in the world. Almost every country in the globe, now have some form of ecommerce operations, this has further been enhanced by the stay at home COVID-19 induced lockdowns. The value and volume of transactions has also increased in transactions. However, there has been security concerns impacting ecommerce operations, which has in part, led to increasing adoption of hosting ecommerce systems in the public cloud. Threat modelling offer mechanisms to enhance the security of information technology (IT) systems. In this paper, we apply different threat modelling techniques to decompose the migration of an on-premise hosted ecommerce system to the public cloud and also evaluate these threat modelling techniques.


2016 ◽  
pp. 307-334 ◽  
Author(s):  
Ishan Senarathna ◽  
Matthew Warren ◽  
William Yeoh ◽  
Scott Salzman

Cloud Computing is an increasingly important worldwide development in business service provision. The business benefits of Cloud Computing usage include reduced IT overhead costs, greater flexibility of services, reduced TCO (Total Cost of Ownership), on-demand services, and improved productivity. As a result, Small and Medium-Sized Enterprises (SMEs) are increasingly adopting Cloud Computing technology because of these perceived benefits. The most economical deployment model in Cloud Computing is called the Public Cloud, which is especially suitable for SMEs because it provides almost immediate access to hardware resources and reduces their need to purchase an array of advanced hardware and software applications. The changes experienced in Cloud Computing adoption over the past decade are unprecedented and have raised important issues with regard to privacy, security, trust, and reliability. This chapter presents a conceptual model for Cloud Computing adoption by SMEs in Australia.


Author(s):  
Jose Lo Huang

Currently, transfering a huge amount of video data from on premise to the public cloud is very slow. In this article, the researcher uses a set of self-developed software written in Python, C, and Bash to improve the speed of data transmission and analysis of drone-generated videos taken in eight different cities on the American continent to the public cloud of Amazon Web Services. The author uses several tools, compression, parallel threads execution, and the autoscaling feature of the public cloud vendor to tune the process of transmission and analysis in 78% of the speed compared to the common sequential transmission and single node option.


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