The development of a geospatial data Grid by integrating OGC Web services with Globus-based Grid technology

2008 ◽  
Vol 20 (14) ◽  
pp. 1617-1635 ◽  
Author(s):  
Liping Di ◽  
Aijun Chen ◽  
Wenli Yang ◽  
Yang Liu ◽  
Yaxing Wei ◽  
...  
Keyword(s):  
Web Services ◽  
Data Grid ◽  
Geospatial Data ◽  
Grid Technology

scholarly journals Enhancing the performance of taxi application based on in-memory data grid technology

2015 ◽  
Vol 26 (5) ◽  
pp. 1035-1045
Author(s):  
Chi-Hwan Choi ◽  
Jin-Hyuk Kim ◽  
Min-Kyu Park ◽  
Kaaen Kwon ◽  
Seung-Hyun Jung ◽  
...  
Keyword(s):  
Data Grid ◽  
Grid Technology

Grid Technology for Smart Organizations

2011 ◽  
pp. 289-332
Author(s):  
Gergely Sipos ◽  
Péter Kacsuk
Keyword(s):  
Web Services ◽  
Autonomous Agents ◽  
Middle Part ◽  
Grid Technology ◽  
Grid Services ◽  
On Demand ◽  
Basic Goal ◽  
Open Grid Services Architecture ◽  
Service Grids ◽  
The Web

This chapter summarizes the most relevant results that grid research achieved in the last decade, it presents the actual issues of the topic, and it outlines how current and future results from this area can contribute to smart organizations. At the first place the basic goal of the Grid is presented and its state-of-the-art, service-based realization is discussed. This global infrastructure will one day connect together diverse types of hardware and software elements, abstracting them out as intelligent autonomous agents that can discover and collaborate with each other on demand. The middle part of the chapter introduces two potential middleware technologies that service grids can be built on. They are the Web services-based open grid services architecture (OGSA) and Jini. The final part of the chapter presents the future of service grids and the important role these flexible infrastructures will probably have in the life of smart organizations.

Distributed Geospatial Processing Services

2011 ◽  
pp. 1186-1193 ◽  
Author(s):  
Carlos Granell ◽  
Laura Díaz ◽  
Michael Gould
Keyword(s):  
Web Services ◽  
Web Service ◽  
Spatial Data ◽  
Geospatial Data ◽  
Service Description ◽  
Service Oriented Architectures ◽  
Data Infrastructure ◽  
Loosely Coupled ◽  
Tightly Coupled ◽  
Geospatial Services

The development of geographic information systems (GISs) has been highly influenced by the overall progress of information technology (IT). These systems evolved from monolithic systems to become personal desktop GISs, with all or most data held locally, and then evolved to the Internet GIS paradigm in the form of Web services (Peng & Tsou, 2001). The highly distributed Web services model is such that geospatial data are loosely coupled with the underlying systems used to create and handle them, and geospatial processing functionalities are made available as remote, interoperable, discoverable geospatial services. In recent years the software industry has moved from tightly coupled application architectures such as CORBA (Common Object Request Broker Architecture?Vinoski, 1997) toward service-oriented architectures (SOAs) based on a network of interoperable, well-described services accessible via Web protocols. This has led to de facto standards for delivery of services such as Web Service Description Language (WSDL) to describe the functionality of a service, Simple Object Access Protocol (SOAP) to encapsulate Web service messages, and Universal Description, Discovery, and Integration (UDDI) to register and provide access to service offerings. Adoption of this Web services technology as an option to monolithic GISs is an emerging trend to provide distributed geospatial access, visualization, and processing. The GIS approach to SOA-based applications is perhaps best represented by the spatial data infrastructure (SDI) paradigm, in which standardized interfaces are the key to allowing geographic services to communicate with each other in an interoperable manner. This article focuses on standard interfaces and also on current implementations of geospatial data processing over the Web, commonly used in SDI environments. We also mention several challenges yet to be met, such as those concerned with semantics, discovery, and chaining of geospatial processing services and also with the extension of geospatial processing capabilities to the SOA world.

Geospatial Web Services

2011 ◽  
pp. 1-35 ◽  
Author(s):  
Peishing Zhao ◽  
Genong Yu ◽  
Liping Di
Keyword(s):  
Life Cycle ◽  
Information Systems ◽  
Web Services ◽  
Web Service ◽  
Service Oriented Architecture ◽  
Spatial Information ◽  
Geospatial Data ◽  
Spatial Information Systems ◽  
Service Oriented ◽  
Geospatial Web Services

As Web service technologies mature in recent years, a growing number of geospatial Web services designed to interoperate spatial information over the network have emerged. Geospatial Web services are changing the way in which spatial information systems and applications are designed, developed and deployed. This chapter introduces all aspects of geospatial Web services from service-oriented architecture to service implementation. It covers the life cycle of geospatial Web services in terms of geospatial interoperable standards, including publish, discovery, invocation and orchestration. To make geospatial Web services more intelligent, semantic issues about geospatial data and services are discussed here. Furthermore, the applications of standard-compliant geospatial Web service are also reviewed.

Sharing of Distributed Geospatial Data through Grid Technology

2010 ◽  
pp. 222-228 ◽  
Author(s):  
Yaxing Wei ◽  
Liping Di ◽  
Guangxuan Liao ◽  
Baohua Zhao ◽  
Aijun Chen ◽  
...  
Keyword(s):  
Large Scale ◽  
Storage Systems ◽  
Distributed Storage ◽  
Geospatial Data ◽  
Grid Technology ◽  
Grid System ◽  
Multiple User ◽  
User Communities ◽  
Distributed Storage Systems ◽  
Critical Requirement

With the rapid accumulation of geospatial data and the advancement of geoscience, there is a critical requirement for an infrastructure that can integrate large-scale, heterogeneous, and distributed storage systems for the sharing of geospatial data within multiple user communities. This article probes into the feasibility to share distributed geospatial data through Grid computing technology by introducing several major issues (including system heterogeneity, uniform mechanism to publish and discover geospatial data, performance, and security) to be faced by geospatial data sharing and how Grid technology can help to solve these issues. Some recent research efforts, such as ESG and the Data Grid system in GMU CSISS, have proven that Grid technology provides a large-scale infrastructure which can seamlessly integrate dispersed geospatial data together and provide uniform and efficient ways to access the data.

Grid Computing

2009 ◽  
pp. 269-280
Author(s):  
Gokop Goteng ◽  
Ashutosh Tiwari ◽  
Rajkumar Roy
Keyword(s):  
Grid Computing ◽  
Implementation Strategy ◽  
Computational Grid ◽  
Data Grid ◽  
Grid Technology ◽  
Grid Security ◽  
Semantic Grid ◽  
Transport Industry ◽  
Share Data ◽  
Global Terrorism

The emerging grid technology provides a secured platform for multidisciplinary experts in the security intelligence profession to collaborate and fight global terrorism. This chapter developed grid architecture and implementation strategy on how to connect the dots between security agents such as the CIA, FBI, police, custom officers and transport industry to share data and information on terrorists and their movements. The major grid components that featured in the architecture are the grid security portal, data grid, computational grid, semantic grid and collaboratory. The challenges of implementing this architecture are conflicting laws, cooperation among governments, and information on terrorist’s network and interoperability problem.

Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making

2009 ◽  
pp. 256-275 ◽  
Author(s):  
Eleana Asimakopoulou ◽  
Chimay J. Anumba ◽  
Bouchlaghem ◽  
Bouchlaghem
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Data Grid ◽  
Informed Decision ◽  
Data Sources ◽  
Grid Technology ◽  
Distributed Data ◽  
Grid Environment ◽  
Design And Implementation ◽  
Response Decision

Much work is under way within the Grid technology community on issues associated with the development of services to foster collaboration via the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. However, several obstacles arise in the design and implementation of such services. A notable obstacle, namely how clients within a data Grid environment can be kept automatically informed of the latest and relevant changes about data entered/committed in single or multiple autonomous distributed datasets is identified. The view is that keeping interested users informed of relevant changes occurring across their domain of interest will enlarge their decision-making space which in turn will increase the opportunities for a more informed decision to be encountered. With this in mind, the chapter goes on to describe in detail the model architecture and its implementation to keep interested users informed automatically about relevant up-to-date data.

Geospatial Data Grid

2008 ◽  
pp. 385-385
Author(s):  
Shashi Shekhar ◽  
Hui Xiong
Keyword(s):  
Data Grid ◽  
Geospatial Data
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