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In distributed systems, materialized views are used to improve data availability and reduce data transfers. A materialized view is a query whose results are pre-computed from multiple data sources and stored in the database. Defining views over heterogeneous data sources requires the design of a common query language or the conversion of the data sources in the same format. This paper addresses this...
An exponential growth in the availability of data from various sources has enabled large scale adoption of data driven decision making. Much of present day's data was generated in the recent years, complementing to this there has been a substantial reduction in data storage costs. Hence the analysis of data collected will assist decision making in our future smart environments. Here sustainability...
Particle tracking along streamlines and pathlines is a common scientific analysis technique, which has demanding data, computation and communication requirements. It has been studied in the context of high-performance computing due to the difficulty in its efficient parallelization and its high demands on communication and computational load. In this paper, we study efficient evaluation methods for...
Research has shown that the amount of data now available often overwhelms key functions of an information system. This situation necessitates the design of information architectures that scale to meet the challenges. The Planetary Data System, a NASA funded project, has developed an information architecture for the planetary science community that addresses this and other big science data issues noted...
Parallel query processing over data streams in cloud computing environments has attracted considerable attention recently in various fields, due to the huge potential value of analyzing massive data or big data in a large number of streaming applications. Nevertheless, existing studies on queries primarily focus on the algorithms for the specific query types with the lack of the general framework...
The change in technology and the form of data being used has led to massive changes in database technologies. Most applications today, represent data that are intensely associative i.e. structured graphs, texts, hypertexts, wikis, RDF and social networking. The traditional relational database model (RDBMS) has been proved to be ineffective while handling such associated data with problems regarding...
Over the years, plenty of cost models for physical database design were developed. However, solving the physical design problem in a generic way is still a hard task. In this paper, we (1) summarize the development stages of cost models for database systems, (2) propose a generic cost model for the generalized physical design problem, and (3) apply our model on the joint query scheduling and buffer...
Distributed 3D simulations are used in various fields of application like geo information systems (GIS), space robotics or industrial automation. We present a new database-driven approach that combines 3D real-time simulation techniques with object-oriented data management. It consists of simulation clients that replicate from a central database object data as well as the data schema itself. The central...
Integration and unified management of data scattering along the lifecycle chain is the primary problem to be solved in PLM field. In this paper, a framework based on resource meta-model is proposed to integrate and manage product lifecycle data. Firstly, the structure of this framework is presented. Then, the resource meta-model is defined and the functions, structure and generation method of the...
In the Distributed System design, a .NET based N-layer Architecture pattern is proposed. It separates the Business Logic Layer, Data Access Layer and Presentation Layer; effectively reduces the redundancy in coding, thus promotes an improved expandability for the entire system. A specific implementation method is presented regarding the Data Service Layer and Business Service Layer, thereby better...
the most important requirement to support cooperative work among health professionals is the ability of sharing Electronic Healthcare Records. This is particularly difficult due to the intrinsic complexity and heterogeneity of the health domain. One approach to overcoming heterogeneity relies on the agreement on a set of domain-specific concepts that hide the particularities of the source EHRs. In...
In distributed system, deadlock is a common phenomenon. If a transaction requires more than one resource for its task to be accomplished, such request is called an AND model request. In this paper we have proposed a method for elimination of AND model deadlocks in distributed system. A Multi Granular Locking (MGL) technique is proposed which locks the database at various granules. This technique is...
This paper reveals the secret of NOSQL. What is NOSQL? It breaks the long history of relational database and a massive implementation of NOSQL on humanoid. NOSQL data store did not have proper table schemas and join operation so no limitation to store data and we can able to form a graph of information from that we can achieve very fast data retrieval. Map reduce concept also give a hand to increase...
Recently MapReduce programming model is becoming popular for large scale data intensive distributed applications due to its efficiency, simplicity and ease of use. The Hadoop implementation of MapReduce is one of the most popular tools for many programmers due its ability to hide details of parallel programming from the users. However work on simulating the Hadoop environment is still in its infancy...
Digital ocean prototype system is a key part of the China digital ocean information basic framework and the basic integration platform for China ocean information management and application. The purpose of marine environment data warehouse is to provide comprehensive and multiple marine information services. This paper proposed distributed marine environment data warehouse construction, and gives...
Focusing on the national fundamental geography information database, this article puts forward the construction of multi-level model in allusion to the status quo of the spatial data model, and defines the layered structure of multi-level model, thus reducing the strength and stress of building GIS spatial database. Besides, it also founds a mapset model mathematics basis, on which defines an extended...
Based on five typical HIS connections, the reconfigurable technology for HIS is put forward. First it analyzes the demands of reconfigurable HIS platform, then some relevant reconfigurable technology is researched, that is: design patterns, object-oriented framework and component technology. On this analysis, the reconfigurable HIS platform prototype system's structure is designed, which is composed...
The shared data programming model is an attractive grid programming alternative to message passing solutions. This paper addresses type related improvements to a shared data grid programming model, by taking advantage of particular interactions patterns and object semantics which result in a broader set of specialized objects. We present analysis aspects of GUN, a grid service layer solution for shared...
In this paper, our research objective is to develop a database virtualization technique so that data analysts or other users who apply data mining methods to their jobs can use all ubiquitous databases in the Internet as if they were recognized as a single database, thereby helping to reduce their workloads such as data collection from the databases and data cleansing works. In this study, firstly...
The geospatial information is becoming an integral part of many decision making processes, specially related to socio-economic development. Geospatial data are often collected and maintained by different organizations and become a major bottleneck for spatial integration. Further, the spatial relationships between various spatial objects and the influence on each other are often not defined crisply...
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