Securing Nuclear Power ICS with Mimic Defense Object Storage System

A nuclear power plant is one of the power sources that shares a large portion of base-load. However, as the proportion of renewable energy increases, nuclear power plants will be required to generate power more flexibly due to the intermittency of the renewable energy sources. This paper reviews a layout thermally integrating the liquid air energy storage system with a nuclear power plant. To evaluate the performance realistically while optimizing the layout, operating nuclear power plant conditions are used. After revisiting the analysis, the optimized performance of the proposed system is predicted to achieve 59.96% of the round-trip efficiency. However, it is further shown that external environmental conditions could deteriorate the performance. For the design of liquid air energy storage-nuclear power plant integrated systems, both the steam properties of the linked plants and external factors should be considered.

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A Cloud-Aware Distributed Object Storage System to Retrieve Large Data via HTML5-Enabled Web Browsers

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Managing Big Data in Cloud Computing Environments ◽

10.4018/978-1-4666-9834-5.ch002 ◽

2016 ◽

pp. 25-45 ◽

Cited By ~ 2

Author(s):

Ahmet Artu Yıldırım ◽

Dan Watson

Keyword(s):

High Performance ◽

Storage Systems ◽

Storage System ◽

Large Data ◽

Web Browsers ◽

Cloud Infrastructure ◽

Scalable Storage ◽

Distributed Object ◽

Object Storage ◽

Restful Web Service

Major Internet services are required to process a tremendous amount of data at real time. As we put these services under the magnifying glass, It's seen that distributed object storage systems play an important role at back-end in achieving this success. In this chapter, overall information of the current state-of –the-art storage systems are given which are used for reliable, high performance and scalable storage needs in data centers and cloud. Then, an experimental distributed object storage system (CADOS) is introduced for retrieving large data, such as hundreds of megabytes, efficiently through HTML5-enabled web browsers over big data – terabytes of data – in cloud infrastructure. The objective of the system is to minimize latency and propose a scalable storage system on the cloud using a thin RESTful web service and modern HTML5 capabilities.

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Implementation Techniques for Extensible Object Storage Systems

Advances in Database Research - Advanced Topics in Database Research, Volume 2 ◽

10.4018/978-1-59140-063-9.ch006 ◽

2011 ◽

pp. 104-127

Author(s):

Jung-Ho Ahn ◽

Ha-Joo Song ◽

Hyoung-Joo Kim

Keyword(s):

High Performance ◽

Storage System ◽

Object Oriented ◽

Middle Layer ◽

Database Systems ◽

Object Oriented Design ◽

Design And Implementation ◽

Pointer Swizzling ◽

Implementation Techniques ◽

Object Storage

An efficient object manager, a middle layer on top of a storage system, is essential to ensure acceptable performance of object-oriented database systems, since a traditional record-based storage system is too simple to provide object abstraction. In this chapter, we design and implement an extensible object storage system, called Soprano, in an object-oriented fashion which has shown great potential in extensibility and code reusability. Soprano provides a uniform object abstraction and gives us the convenience of persistent programming through many useful persistent classes. Also, Soprano supports efficient object management and pointer swizzling for fast object access. This chapter investigates several aspects of the design and implementation of the extensible object storage system. Our experience shows the feasibility of using an object-oriented design and implementation in building an object storage system that should have both extensibility and high performance.

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