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Hierarchical hybrid filing system is a research hotspot in the field of data storage, and also is widely accepted in the industrial circle, which is widely used from personal storage to data center. This paper introduces an energy-efficient optical storage at a lower cost to solve the energy consumption problem of large data center, with an attempt to build a hybrid filing system comprised of array, online optical disk library and off-line optical disk library, discusses the guarantee mechanism of data consistency and the elastic design of system, and focuses on the research of the file caching and prefetching mechanism of hybrid magneto-optical filing system based on the read-write features of optical medium. Through experiments, the system is proved to be capable of effectively saving energy and maintaining the timeliness of data retrieval and query.

With the ceaseless propulsion of informatization process, a great deal of data accumulated in the production system resulted in archiving demand; meanwhile, with the increasingly enriching types of data information, big data technology enhanced the function of unstructured data. This paper designs and realizes the KingCloud intelligent object archiving system, which achieves classification of text files through document classification technology and provides logic views of documents and achieves the acquisition of content elements through image identification, video keyframe and other technologies. As for the overall storage structure, document prefetching, memory buffer, data layout and strategy perception etc. can be optimized by combining the semantic studies of file system, and data can be intelligently classified, summarized, discovered, predicted and analyzed to remarkably improve the service ability, service quality and service performance of memory system.

Cloud computing has been a hot researching area of computer network technology, since it was proposed in 2007. Cloud computing also has been envisioned as the next-generation architecture of IT Enterprise [1]. Cloud computing infrastructures enable companies to cut costs by outsourcing computations on-demand. It moves the application software and database to the large data centers, where the management of the data and services may not be fully trustworthy [2]. This poses many new security challenges. In this paper, we just focus on data storage security in the cloud, which has been the most important aspect of quality of service. To ensure the confidentiality and integrity of user’s data in the cloud, and support of data dynamic operations, such as modification, insertion and deletion, we propose a framework for storage security, which includes cryptographic storage scheme and data structure. With our framework, the untrusted server cannot learn anything about the plaintext, and the dynamic operation can be finished in short time. The encryption algorithm and data storage structure is simple, and it’s easy to maintain. Hence, our framework is practical to use today.

Recent work in network security has focused on the fact that combinations of exploits are the typical means by which an attacker breaks into a network. Researchers have proposed a variety of graph-based analysis approach, and there is often a lack of logical formalism. This paper describes a new approach to represent and analyze network vulnerability. We propose logical exploitation graph, which directly illustrate logical dependencies among exploitation goals and network configure. Our logical exploitation graph generation tool builds upon LEG-NSA, a network security analyzer based on Prolog logical programming. We demonstrate how to reason all exploitation paths using bottom-up and top-down evaluation algorithms in the Prolog logic- programming engine. We show experimental evidence that our logical exploitation graph generation algorithm is very efficient.