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The data transfer in the Grid at CERN (the European Organization for Nuclear Research) has seen constant improvement, be it through optimizing the existing tools, GridFTP and GFAL2 or by adding new tools such as XRootd. Unfortunately, all these have reached the maximum limit in terms of throughput. They are limited not by the network infrastructure, but by the fact that they use a single source for...
Dynamic skyline queries are useful in decision making and data-intensive applications. With the number of data increases, such skyline calculation is a challenging problem. Unfortunately, skyline query processing in centralized system is not suitable for the case. In this paper we propose a parallel algorithm which can calculate dynamic skylines with MapReduce. Firstly, we build an appropriate Inverted...
This paper mainly brings out the details related to a prototype biodiversity information retrieval system that has been setup using the distributed Grid-Cloud resources of GARUDA Grid project, India. The overall experiment has been done with the help of open source biodiversity databases. The structure of these relational database tables are not standardized and are hosted on a variety of Database...
Skyline queries are useful in decision making applications. Skyline queries in highly mobile distributed environments have attracted many attentions recently due to the development of mobile internet device. The properties of distributed computing make skyline queries more complicated especially in any subspace. Conventional skyline algorithms do not support subspace skyline queries in distributed...
The computing needs of high energy physics experiments like the Compact Muon Solenoid experiment at the Large Hadron Collider currently exceed the available dedicated computational resources, hence motivating a push to leverage opportunistic resources. However, access to opportunistic resources faces many obstacles, not the least of which is making available the complex software stack typically associated...
e-Infrastructure [1] refers to a combination and interworking of digitally-based technology, resources, communications, and the people and organizational structures needed to support modern, internationally leadingcollaborative research. Such infrastructures are orientedto support a distributed medium based on broadbandcommunications, distributed Grid, HPC and scientific Cloudresources and respective...
Distributed computing infrastructure's data storage subsystems are usually physically scattered among several nodes and logically shared among several users and (local) administrators. It is therefore necessary to provide users with adequate mechanisms and tools for information and data security management, especially in large scale systems since the complexity of the problem increases with the number...
Scientific Data Grid (SDG) of Chinese Academy of Sciences aims at integrating distributed scientific data, providing transparent data access mechanism and efficient data analysis, processing and visualization services. SDG Job Scheduler (SDGJS) adopts an open and service-oriented framework. The scheduling policy of SDGJS considers both performance of computing nodes and distribution of large data...
To make mass distributed heterogeneous data resources in all areas share and manage easier. The database grid service is proposed. It devotes integrating database into Grid environment with grid service. A deep research was taken on the grid service development tools GDT(Grid Development Tools) and GT4(Globus Toolkit V4.0) which is a services container. A integrated development environment was built...
This paper discusses the modern approach of the implementation of Software as a Service (SaaS) for NASA as a way to reduce cost and increase efficiency. The Grid XML Datastore Framework is an extension of SaaS framework based on eXtensible Database technology (XDB). This is implemented to support the Innovative Partnership Program (IPP) for its Technology Transfer System (NTTS) project. NTTS supports...
To cope with the growing requirements of data intensive scientific experiments, models and simulations the Large Scale Data Facility(LSDF) at KIT aims to support many scientific disciplines. The LSDF is a distributed storage facility at Exabyte scale providing storage, archives, data bases and meta data repositories. Open interfaces and APIs support a variety of access methods to the highly available...
Concurrency control in distributed and parallel applications has been studied for many years but is still an ongoing research topic. Transactional memory addresses this challenge for multicore processors by proposing to execute critical sections as restartable transactions combined with optimistic synchronization. Thus the programmer has not to reason about complex lock management and deadlocks. We...
In the current distributed network, the grid computing technology has already been an important technology widely used in resource sharing and resource cooperation. Resource sharing usually participates in the grid activities by joining the Virtual Organization (VO) to achieve the cooperation tasks, so the VO is an important technology, which resources can participate into grid events, collaborative...
This paper describes the application hosting services (AHS) that is one of software component of multiple grid environments middleware developed by RENKEI (REsources liNKage for E-scIence) project. The purpose of this middleware realizing the federate/share resources (computers, storages, databases and applications) distributed among multiple grid environments, such as research laboratories, national...
Replica management has become a hot research topic in data grid, It improves the availability and fault tolerant of data in grid computing environment. Based on the deep research on the mainstream replica management technology in traditional data grid, we propose a dynamic replica management strategy. Our replica management strategy consists of the creation method of dynamic replica that can automatically...
Analysis of rail freight data is essential to make a better strategy for railway freight traffic organization. However, rail freight data are national-widely stored in data center of railway bureaus. Furthermore, the size of the data is very large and grows rapidly. Although analytical data processing has received much attention these years, little attention is paid to transparently processing data...
Recent development of eLearning Platforms, presentation technologies and user interaction methods has enabled the development of new, more complex and more efficient teaching materials for Earth Observation domain. However, the process of creating new learning resources is not a trivial task and most of the time technical knowledge is required for such an action. Furthermore, the data that is usually...
The scope of this paper is to discuss and analyze different approaches and solutions in which the interoperability between the Spatial Data Infrastructure (SDI) and the Grid environment is feasible. Most of the SDIs are exposed using Geospatial Web services, standardized by the Open Geospatial Consortium (OGC). The Grid environment was built to overcome the distributed computing problems regarding...
Formerly computer application development just develops in one computer with one application, if one user wants to use some application in other computer (e.g. a computer or device) then the computer or device must be deployed or reinstalled the application in another computer. As a result, due to improve this problem, many application developer start redesign or translate elder application as Web...
Nowadays, more and more databases are distributed in networks. To produce knowledge with the databases, traditional data mining technology should be developed in model, algorithm, strategy, etc. The popular distributed data mining (DDM) systems are introduced and classified into three classes: DDM systems based on parallel data mining agents, DDM systems based on meta-learning, and DDM systems based...
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