Grid Computing

2012 ◽  
pp. 1-11
Author(s):  
Gokop Goteng ◽  
Ashutosh Tiwari ◽  
Rajkumar Roy

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.

Author(s):  
Gokop Goteng ◽  
Ashutosh Tiwari ◽  
Rajkumar Roy

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.


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):  

Author(s):  
Ioannis Barbounakis ◽  
Michalis Zervakis

The authors have been running the second decade since the time that pioneers in Grid started to work on a technology which seemed similar to its predecessors but in reality it was envisioned totally divergent from them. Many years later, the grid technology has gone through various development stages yielding common solution mechanisms for similar categories of problems across interdisciplinary fields. Several new concepts like the Virtual Organization and Semantic Grid have been perfected bringing closer the day when the scientific communities will collaborate as if all their members were at the same location, working with the same laboratory equipment and running the same algorithms. Many production-scale standard-based middlewares have been developed to an excellent degree and have already started to produce significant scalability gains, which in the past, were considered unthinkable.


Author(s):  
Mirghani Mohamed ◽  
Michael Stankosky ◽  
Vincent Ribière

The purpose of this article is to investigate the requirements of knowledge management (KM) services deployment in a Semantic Grid environment. A wide range of literature on Grid Computing, Semantic Web, and KM have been reviewed, related, and interpreted. The benefits of the Semantic Web and the Grid Computing convergence have been enumerated and related to KM principles in a complete service model. Although the Grid Computing contributed the shared resources, most of the KM tool obstacles within the grid are to be resolved at the semantic and cultural levels more than at the physical or logical grid levels. The early results from academia show a synergy and the potentiality of leveraging knowledge at a wider scale. However, the plethora of information produced in this environment will result in a serious information overload, unless proper standardization, automated relations, syndication, and validation techniques are developed.


Author(s):  
Chuliang Weng ◽  
Jian Cao ◽  
Minglu Li

In the grid context, the scheduling can be grouped into two categories: offline scheduling and online scheduling. In the offline scheduling scenario, the sequence of jobs is known in advance, scheduling is based on information about all jobs in the sequence. While, in the online scheduling scenario a job is known only after all predecessors have been scheduled, and a job is scheduled only according to information of its predecessors in the sequence. This chapter focuses on resource management issue in the grid context, and introduces the two cost-based scheduling algorithms for offline job assignment and online job assignment on the computational grid, respectively.


Author(s):  
Eleana Asimakopoulou ◽  
Chimay J. Anumba ◽  
Bouchlaghem ◽  
Bouchlaghem

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.


2011 ◽  
Vol 63-64 ◽  
pp. 59-63
Author(s):  
You Chan Zhu ◽  
Juan Hua Bai

Grid security is one of the core issues of grid computing, and the authorization issue of grid security is a hot topic of current research. This paper describes three sequence patterns of the authorization, and focuses on the architecture of push sequence model and application example-Community Authorization Service (CAS). It analyzes and compares the push sequence pattern and pull sequence pattern. Authorization mechanism based on push sequence pattern solves the scalability issue of GSI quite well in some extent and improves the flexibility of the system.


2003 ◽  
Vol 125 (03) ◽  
pp. 46-48
Author(s):  
Jean Thilmany

This review discusses grid computing that is a low-cost way to harness the central processing units of a group of workstations. The grid can be made up of any number of central processing units (CPU), and they may be far-flung or within the same company, or even in the same department. Grid computing puts to work on the grid all available CPUs at idle workstations and thus does away with the need for powerful servers or supercomputers. Sun Microsystems Inc., Santa Clara, CA, and IBM of Armonk, New York, have both released software within the past three years that can divide and farm out pieces of an application to several thousand linked computers. Microsoft is developing grid-computing software for use with its products, as are Hewlett-Packard, Palo Alto, CA, and others. Grid software is written in Linux, the open-standards operating system. However, because no gatekeeping technology is currently in place for grids, the hard work of IT managers seeking to implement grid technology comes when negotiating policies among departments and setting up grids accordingly.


Sign in / Sign up

Export Citation Format

Share Document