The Business Data Integrity Risk Management Model: A Benchmark Data Center Case of IT Service Firm

Author(s):  
M. K. Chen ◽  
Shih-Ching Wang
Author(s):  
Sarah Vilarinho ◽  
Miguel Mira da Silva

ITIL is considered a framework of Best Practice guidance for IT Service Management, and it is widely used in the business world. In spite of this, ITIL has some gaps in Risk Management specification. This chapter approaches this problem in ITIL and compares IT risk management in ITIL to other IT Governance Frameworks. Despite ITIL stating that risk should be identified, measured, and mitigated, it is not clear on how to proceed (no concrete process is defined on how to deal with risk). To solve this, the authors propose to map the M_o_R risk management framework in ITIL, mapping every M_o_R process in ITIL, therefore adopting a strong risk management in ITIL, based on concrete guidelines, without changing the framework. In this chapter, the authors summarize the necessary guidelines and show a planning for future work.


Author(s):  
Cunbin Li ◽  
Ding Liu ◽  
Yi Wang ◽  
Chunyan Liang

AbstractAdvanced grid technology represented by smart grid and energy internet is the core feature of the next-generation power grid. The next-generation power grid will be a large-scale cyber-physical system (CPS), which will have a higher level of risk management due to its flexibility in sensing and control. This paper explains the methods and results of a study on grid CPS’s behavior after risk. Firstly, a behavior model based on hybrid automata is built to simulate grid CPS’s risk decisions. Then, a GCPS risk transfer model based on cooperative game theory is built. The model allows decisions to ignore complex network structures. On this basis, a modified applicant-proposing algorithm to achieve risk optimum is proposed. The risk management model proposed in this paper can provide references for power generation and transmission decision after risk as well as risk aversion, an empirical study in north China verifies its validity.


Axioms ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 80
Author(s):  
Sergey Kryzhevich ◽  
Viktor Avrutin ◽  
Nikita Begun ◽  
Dmitrii Rachinskii ◽  
Khosro Tajbakhsh

We studied topological and metric properties of the so-called interval translation maps (ITMs). For these maps, we introduced the maximal invariant measure and demonstrated that an ITM, endowed with such a measure, is metrically conjugated to an interval exchange map (IEM). This allowed us to extend some properties of IEMs (e.g., an estimate of the number of ergodic measures and the minimality of the symbolic model) to ITMs. Further, we proved a version of the closing lemma and studied how the invariant measures depend on the parameters of the system. These results were illustrated by a simple example or a risk management model where interval translation maps appear naturally.


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