scholarly journals Cost-Efficient Risk Management with Reserve Repair Crew Planning in CLOUD Computing

2015 ◽  
Vol 62 ◽  
pp. 335-342 ◽  
Author(s):  
Mehmet Sahinoglu ◽  
Sharmila Ashokan ◽  
Preethi Vasudev
2021 ◽  
Vol 12 (11) ◽  
pp. 1523-1533
Author(s):  
Bidush Kumar Sahoo , Et. al.

Cloud computing is built upon the advancement of virtualization and distributed computing to support cost-efficient usage of computing resources and to provide on demand services. After methodical analysis on various factors affecting fault tolerance during load balancing is performed and it is concluded that the factors influencing fault tolerance in load balancing are cloud security, adaptability etc. in comparatively more software firms. In this paper, we have created a model for various IT industries for checking the fault tolerance during Load balancing. An exploration is done with the help of some renowned IT farms and industries in South India. This work consists of 20 hypotheses which may affect the fault tolerance during load balancing in South India. It is verified by using potential statistical analysis tool i.e. Statistical Package for Social Science (SPSS).


Author(s):  
Kashif Kifayat ◽  
Thar Baker Shamsa ◽  
Michael Mackay ◽  
Madjid Merabti ◽  
Qi Shi

The rise of Cloud Computing represents one of the most significant shifts in Information technology in the last 5 years and promises to revolutionise how we view the availability and consumption of computing storage and processing resources. However, it is well-known that along with the benefits of Cloud Computing, it also presents a number of security issues that have restricted its deployment to date. This chapter reviews the potential vulnerabilities of Cloud-based architectures and uses this as the foundation to define a set of requirements for reassessing risk management in Cloud Computing. To fulfill these requirements, the authors propose a new scheme for the real-time assessment and auditing of risk in cloud-based applications and explore this with the use case of a triage application.


Author(s):  
Holger Schrödl ◽  
Stefan Wind

In industrial practice, cloud computing is becoming increasingly established as an option for formulating cost-efficient and needs-oriented information systems. Despite the increasing acceptance of cloud computing within the industry, many fundamental questions remain unanswered, or are answered only partially. Besides issues relating to the best architectures, legal issues, and pricing models, suppliers of cloud-based solutions are faced with the issue of appropriate requirements engineering. This means eliciting optimal understanding of the customer’s requirements and implementing this into appropriate requirements of the solution to be realised. This chapter examines selected, established requirements engineering methods in order to study the extent to which they can be applied to the specific requirements of cloud-based solutions. Furthermore, it develops a comparison framework containing the features of cloud computing. This comparison framework is applied to four established process models for requirements engineering. Recommendations for a requirements engineering process adapted to cloud computing are derived.


2018 ◽  
pp. 951-963 ◽  
Author(s):  
Samer Alhawari ◽  
Mufleh Amin AL Jarrah ◽  
Wa'el Hadi

With the significant advances in Information and Communications Technology (ICT) over the last half a century, the Cloud computing paradigm is one of the most discussed topics in the field of ICT today. Additionally, Cloud computing has a critical role in today's business world. Without risk management processes embedded into innovative technology that supports Cloud computing, businesses are setting themselves up for a fall. Hence, in this paper, the authors propose a conceptual model of implementing risk management processes into a Cloud computing environment. It highlights the different processes of risk management (risk identification, risk analysis, risk planning, risk execution, and risk monitoring) and how their existence can affect the Cloud environment to ensure proper protection of data and information in order to ensure Cloud networks and connections are secure.


2021 ◽  
Vol 10 (1) ◽  
pp. 1-11
Author(s):  
Jan Folkmann Wright

Disasters have always been part of human history. Although global safety has increased over the years, it is a question if the positive trend will continue. The most discussed major uncertainty is climate change, temporarily dwarfed by the COVID-19 virus pandemic. There are however many other challenges due to an increasingly connected and complex world. Failure to recognize an approaching danger is as human as the exaggeration by those who get worried too easily. If risk management systems shall handle the new risks, substantial advances in how to identify new risks are needed as well as improvements in the identification of cost-efficient mitigations. The collateral damage caused by mitigative measures can be high. Invasive actions, possibly amplified by social and traditional media, may disrupt supply chains and factories, and whole economies might suffer. A risk management system that can identify types of global risks and evaluate measures on cost-efficiency is needed to see if the cure could become worse than the disease.


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