Application of Cloud Computing in Electric Power Utility Systems

Author(s):  
Radoslav M. Raković

The concept of “Cloud computing” became very interesting in recent years because it enables optimization of resources used and costs paid for it. Considering all advantages, this approach is applied widely in business systems of general purpose. In recent years, in literature it is possible to find considerations related to application of this approach in corporate systems as electric power utilities. Having in mind that such types of systems represent infrastructure ones that have great impact to the security of people and utilities, a very important question related to information security should be seriously considered. This chapter discusses advantages and disadvantages of application of cloud computing in electric power utility systems.

Author(s):  
І. Андрущак ◽  
В. Марценюк ◽  
I. Андрощук ◽  
В. Чудовець ◽  
М. Потейчук

The article discusses the current state of application and development of cloud computing, the main advantages and disadvantages of their use in the states, enterprises and in scientific activity. The standards, regulations and guidance documents in the field of cloud computing information security are developed and analyzed, developed by the Cloud Security Alliance (CSA), the European Network and Information Security Agency (ENISA) and the National Institute of Standards and Technology (NIST), and the results of a detailed analysis of the issues information security in the cloud.


Author(s):  
Campbell Booth

This chapter will present an overview of the challenges presented to modern power utility companies and how many organizations are facing particularly pressing problems with regards to an ageing workforce and a general shortage of skills; a situation that is anticipated to worsen in the future. It is proposed that knowledge management (KM) and decision support (DS) may contribute to a solution to these challenges. The chapter describes the end-to-end processes associated with KM and DS in a power utility context and attempts to provide guidance on effective practices for each stage of the described processes. An overview of one particular power utility company that has embraced KM is presented, and it is proposed that the function of asset management within power utilities in particular may benefit from KM. The chapter focuses not only on KM techniques and implementation, but, equally, if not more importantly, on the various cultural and behavioural aspects that are critical to the success of any KM/DS initiative.


Author(s):  
Neha Thakur ◽  
Aman Kumar Sharma

Cloud computing has been envisioned as the definite and concerning solution to the rising storage costs of IT Enterprises. There are many cloud computing initiatives from IT giants such as Google, Amazon, Microsoft, IBM. Integrity monitoring is essential in cloud storage for the same reasons that data integrity is critical for any data centre. Data integrity is defined as the accuracy and consistency of stored data, in absence of any alteration to the data between two updates of a file or record.  In order to ensure the integrity and availability of data in Cloud and enforce the quality of cloud storage service, efficient methods that enable on-demand data correctness verification on behalf of cloud users have to be designed. To overcome data integrity problem, many techniques are proposed under different systems and security models. This paper will focus on some of the integrity proving techniques in detail along with their advantages and disadvantages.


Author(s):  
Xiangbing Zhao ◽  
Jianhui Zhou

With the advent of the computer network era, people like to think in deeper ways and methods. In addition, the power information network is facing the problem of information leakage. The research of power information network intrusion detection is helpful to prevent the intrusion and attack of bad factors, ensure the safety of information, and protect state secrets and personal privacy. In this paper, through the NRIDS model and network data analysis method, based on deep learning and cloud computing, the demand analysis of the real-time intrusion detection system for the power information network is carried out. The advantages and disadvantages of this kind of message capture mechanism are compared, and then a high-speed article capture mechanism is designed based on the DPDK research. Since cloud computing and power information networks are the most commonly used tools and ways for us to obtain information in our daily lives, our lives will be difficult to carry out without cloud computing and power information networks, so we must do a good job to ensure the security of network information network intrusion detection and defense measures.


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