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This article considers problems of distributed database structure development connected with presenting similar data in different nodes. It is suggested to use the results of users SQL-queries parsing for optimizing DB structure in order to increase local requests and synchronization speed.
Multi-tiered Parallel I/O systems that combine traditional HDDs with emerging SSDs mitigate the cost burden of SSDs while benefiting from their superior I/O performance. While a multi-tiered parallel I/O system is promising for data-intensive applications in high-performance (HPC) domains, placing data on each tier of the system to achieve high I/O performance remains a challenge. In this paper, we...
Hybrid cache architecture is the purpose of reducing network traffic in real time. For this, this paper suggest of multi-layer cache, collaborative cache and adaptive transformation using big-data analysis. Multi-layer cache compose of parent cache and edge cache. Parent cache has large scaled DB. Edge cache has small memory and high performance network ability. Each content stripes into edge cache...
Data replication is an increasingly important topic as databases are more and more deployed over distributed systems, grid community and clustering systems. The performance, reliability and portability of entire database may possible by using replication technique. Replication may be considered as a data backup policy. Replication in homogeneous system is common practice in real life, but replication...
This paper describes a framework which enables distributed object sharing in a multi agent environment. Shared objects are replicated across nodes in the distributed environment so that agents access a local copy rather than a remote one, thus minimizing network traffic. The framework solves issues related to replica coherence, consistency and management. Shared objects are serializable Java objects...
Currently, most health care systems used among divisions in medical centers still adopt the Excel file format for a variety of scales statistics, such as the clinical self-care ability scale for Functional Independence Measure. Although people can further analyze Excel files using other statistical analysis software, such as SAS, SPSS, and STATA, they cannot effectively share the archived data in...
The heterogeneity and mobility inherent in a large-scale wireless sensor network makes it difficult to develop different applications. The difficulty primarily arises from weak and intermittent connections, dynamic reconfiguration, and limited power availability. The challenge in building a distributed service adaptive to environmental changes lies in the degree of data transmission and the adaptation...
In the development of software project system architectures, software programmers, product test engineers and clients who may be distributed over the world need good communication and collaboration. They require easy access to necessary data and sharing of relevant documents of the project which are distributed in a network of resources and users. Hence, web-based applications, decentralized repositories...
Recently, the computational requirements for large scale data-intensive analysis of scientific data have grown significantly. In High Energy Physics (HEP) for example, the Large Hadron Collider (LHC) produced 13 petabytes of data in 2010. This huge amount of data are processed on more than 140 computing centers distributed across 34 countries. The MapReduce paradigm has emerged as a highly successful...
System management algorithms in private and public cloud infrastructures have to work with literally thousands of data streams generated from resource, application and event monitors. This cloud context opens two novel issues that we address in this paper: how to design a software architecture that is able to gather and analyze all information within real-time constraints, how it is possible to reduce...
The technology of Data Warehouse and OLAP provide well analysis condition and present data means for electronic commerce of enterprise. But an OLAP system with only one server is inefficient and expensive; it doesn't meet the needs of all most middle and small-sized enterprises. In this study, a distributed OLAP system is designed which uses multi-microcomputers based local area network. The introduction...
This paper, with the International Development Enterprise Project as the main line and the help of Struts2 framework and caching mechanisms, establishes B/S multi-language system design model. Firstly, we analyze the encoding pattern of JAVA and give the reason of using Unicode encoding. Secondly, give the design and optimization program to the database detailed,Thirdly, by analyzing the advantage...
In the peer-to-peer based video-on-demand systems, when the number of users online reaches a certain scale, It will greatly influence the bandwidth and the speed of response server when the number of online users reaches a certain scale. At the same time, there are so many video resources and sometimes the base number of users can not fully meet the number of P2P users that a lot of video resources...
Freeware learn-to-touch-type software, which is available for download without charge, caters for individual learning style but, in many cases, is not equipped with the features to manage the entire learning of the students. Using this type of training software for individual learning styles, our research developed a learning management system for the automatic collection of learning results in a...
We propose EagleEye, an accountable logging framework as a middleware for distributed and networked systems. EagleEye offloads the logging function from the distributed application program so that applications can focus on the logic handling without worrying about when and how to do logging. By capturing and analyzing network packets, EagleEye is able to reproduce the entire networking event history...
Access, MySQL, SQL Server and Oracle9i databases are studyed in this paper. Aiming at the characteristics of data types in heterogeneous database, simple but flexible data types matching method is proposed. In the environment of C#.Net, using standard SQL language and binary text file as intermediate data file, heterogeneous database import-and-export system is developped, which is relatively independent...
Cloud Computing promises to deliver on an objective that building on compute and storage virtualization technologies, consumers are able to rent infrastructure "in the Cloud" as needed, deploy applications and store data, and access them via Web protocols on a pay-per-use basis. For application and data deployment in cloud, high availability and service level agreement must be satisfied...
Database as a Service is a very attractive product from cloud service providers for small start-up companies. However, consistency maintenance among replica servers is a very big issue in cloud databases. Too much interdependency of replica servers in the existing consistency model reduces performance and throughput, and can increase the transaction failure rate of a cloud database. In this paper...
This paper describes the technical background of web services. Then use web services technology to achieve the design of the campus data sharing, include the entire system analysis, design process, which introduces a data maintenance, data sharing, data access realization of three modules.
Cloud computing is low-cost, high-performance network application model, is gradually affecting study, work and life of people. This article introduces cloud computing and function of cloud computing, then analyzes the exiting problems of campus network resource management, the cloud computing technology and methods are applied in the construction of college information sharing platform, which can...
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