Research on Electronic Document Management System Based on Cloud Computing

With the development of information technology,cloud computing technology has brought many conveniences to all aspects of work and life.With the continuous promotion,popularization and vigorous development of e-government and e-commerce,the number of documents in electronic form is getting larger and larger.Electronic document is an indispensable main tool and real record of e-government and business activities.How to scientifically and effectively manage electronic documents?This is an important issue faced by governments and enterprises in improving management efficiency,protecting state secrets or business secrets,and reducing management costs.This paper discusses the application of cloud computing technology in the construction of electronic file management system,proposes an architecture of electronic file management system based on cloud computing,and makes a more detailed discussion on key technologies and implementation.The electronic file management system is built on the cloud architecture to enable users to upload,download,share,set security roles,audit,and retrieve files based on multiple modes.An electronic file management system based on cloud computing can make full use of cloud storage,cloud security,and cloud computing technologies to achieve unified,reliable,and secure management of electronic files.

Thoughts on the Management of Personnel Files in Higher Vocational Colleges in the Context of“Double High Plan”

Starting from the background of the"Double High Plan"in conjunction with the role of personnel file management in advancing the"Double High Plan",this paper analyzes the current status of personnel file management in higher vocational colleges and the necessity of personnel management in higher vocational colleges,and explores the effective measures to strengthen the informatization of personnel files management to make it more reasonable,standardized and informatized.

DESIGN OF A SYSTEM SOFTWARE BASED ON A JAVA SOC PROCESSOR

Java technology is spreading rapidly all over the world in recent years. It is a popular application development language for its well-encapsulation, platform-independent and high security. There are great amounts of Java games and other gadgets on mobile platforms, as well as on set-up-box systems. As Java applications become more sophisticated, the Java Virtual Machine (JVM) mid-dle-wares in embedded systems are not satisfying, Java-specific chips extend in the market. All existing Java-based system software or Operating System (OS) are used on JVM, they cannot be used on Java processors. It is important to develop a pure Java system software or OS so that embedded systems using Java processors will have great performance in Java applications. This paper presents a set of system software designed for a Java-specified processor VP6K, which is also a System-on-Chip (SoC). This system software includes real-time multitask dispatching, file management, device management, hardware drivers, and infrastructural Application Programming Interface (APIs). According to ex-perimental results, the system software provides interfaces for Java programs to fully handle CPU resource, so that all applications can be executed properly and efficiently. VP6K embedded platform shows its good performance for Java applications when the system software is implemented.

FARMER:A novel approach to file access correlation mining and evaluation reference model

File semantic has proven effective in optimizing large scale distributed file system.As a consequence of the elaborate and rich I/O interfaces between upper layer applications and file systems,file system can provide useful and insightful information about semantic.Hence,file semantic mining has become an increasingly important practice in both engineering and research community.Unfortunately,it is a challenge to exploit file semantic knowledge because a variety of factors coulda ffect this information exploration process.Even worse,the challenges are exacerbated due to the intricate interdependency between these factors,and make it difficult to fully exploit the potentially important correlation among various semantic knowledges.This article proposes a file access correlation miming and evaluation reference（FARMER） model,where file is treated as a multivariate vector space,and each item within the vector corresponds a separate factor of the given file.The selection of factor depends on the application,examples of factors are file path,creator and executing program.If one particular factor occurs in both files,its value is non-zero.It is clear that the extent of inter-file relationships can be measured based on the likeness of their factor values in the semantic vectors.Benefit from this model,FARMER represents files as structured vectors of identifiers,and basic vector operations can be leveraged to quantify file correlation between two file vectors.FARMER model leverages linear regression model to estimate the strength of the relationship between file correlation and a set of influencing factors so that the ＂bad knowledge＂ can be filtered out.To demonstrate the ability of new FARMER model,FARMER is incorporated into a real large-scale object-based storage system as a case study to dynamically infer file correlations.In addition FARMER-enabled optimize service for metadata prefetching algorithm and object data layout algorithm is implemented.Experimental results show that is FARMER-enabled prefetching algorithm is shown to reduce the metadata operations latency by approximately 30%-40% when compared to a state-of-the-art metadata prefetching algorithm and a commonly used replacement policy.