scholarly journals GRID-DL – SEMANTIC GRID INFORMATION SERVICE

2011 ◽  
pp. 285-294
Author(s):  
Oleksandr Pospishniy ◽  
Sergiy Stirenko
Keyword(s):  
Information Service ◽  
User Interaction ◽  
Semantic Technologies ◽  
Grid System ◽  
Grid Resource ◽  
Grid Systems ◽  
Semantic Grid ◽  
Resource Information ◽  
Grid Information Service

The effectiveness of complex Grid systems strongly depends on the availability, accuracy and relevance of information on all connected resources, their characteristics and state. An access to this information plays a very im- portant role in any Grid system, providing necessary information for other Grid components and users. We believe that application of semantic technologies can improve Grid utilization and enhance user interaction with the system. We present our vision of the semantic Grid resource information service.

ACQUIRING KNOWLEDGE IN A GRID SYSTEM VIA A RESOURCE DISCOVERY SCHEME

2011 ◽  
Vol 02 (01) ◽  
pp. 1-28 ◽  
Author(s):  
KONSTANTINOS I. KARAOGLANOGLOU ◽  
HELEN D. KARATZA
Keyword(s):  
Resource Availability ◽  
Resource Discovery ◽  
Virtual Organizations ◽  
Grid System ◽  
Grid Resource ◽  
Grid Systems ◽  
Limited Knowledge ◽  
Adequate Knowledge ◽  
Well Function ◽  
Grid Resources

This paper studies a resource discovery scheme for a Grid system comprised of virtual organizations (VOs). The proposed scheme suggests that routers and resources comprise VOs within a Grid system, where a router controls locally a number of resources. The router also maintains the connections of each VO with other VOs in the system. Each VO acquires only partial/limited knowledge of the availability of resources controlled by other VOs in the system. When a request for a specific resource is created in a VO of the system, the goal is to discover an appropriate resource for its satisfaction, and subsequently to effectively direct this request. The proposed resource discovery scheme takes into consideration the fact that VOs only acquire a limited knowledge of the system and manages to extend this knowledge without affecting negatively the satisfaction of requests. During the satisfaction of requests, the proposed resource discovery scheme supports and enhances the VOs of the system in order to gain better knowledge of the Grid resource availability. As the creation and satisfaction of requests progress, the VOs manage to acquire an adequate knowledge of the Grid resources, enhancing the overall system's well-function. Finally, this paper presents the performance evaluation of the resource discovery scheme by providing a number of simulation tests in Grid systems of different sizes.

COOPERATIVE SELF-COMPOSITION AND DISCOVERY OF GRID SERVICES IN P2P NETWORKS

2008 ◽  
Vol 18 (03) ◽  
pp. 329-346 ◽  
Author(s):  
EUGENIO ZIMEO ◽  
ALBERTO TROISI ◽  
HARRIS PAPADAKIS ◽  
PARASKEVI FRAGOPOULOU ◽  
AGOSTINO FORESTIERO ◽  
...  
Keyword(s):  
Resource Discovery ◽  
Network Partitioning ◽  
P2p Networks ◽  
Grid Services ◽  
Grid Resource ◽  
Grid Environment ◽  
Grid Systems ◽  
Semantic Grid ◽  
Automatic Discovery ◽  
Grid Resource Discovery

The desirable global scalability of Grid systems has steered the research towards the employment of the peer-to-peer (P2P) paradigm for the development of new resource discovery systems. As Grid systems mature, the requirements for such a mechanism have grown from simply locating the desired service to compose more than one service to achieve a goal. In Semantic Grid, resource discovery systems should also be able to automatically construct any desired service if it is not already present in the system, by using other, already existing services. In this paper, we present a novel system for the automatic discovery and composition of services, based on the P2P paradigm, having in mind (but not limited to) a Grid environment for the application. The paper improves composition and discovery by exploiting a novel network partitioning scheme for the decoupling of services that belong to different domains and an ant-inspired algorithm that places co-used services in neighbouring peers.

The Research on Grid Resource Management Based on WSDM

2010 ◽  
Vol 20-23 ◽  
pp. 155-160
Author(s):  
Wen Long Feng ◽  
Wen Cai Du
Keyword(s):  
Resource Management ◽  
Grid System ◽  
Grid Resource ◽  
Distributed Management ◽  
Resource Information ◽  
System A ◽  
Exchange Format ◽  
Wide Range ◽  
Message Exchange ◽  
Grid Resource Management

Management of grid resource information is a challenging and important area considering the potential size of the grid and wide range of resources in grid system. These huge amounts of resources often have different structures and functions. How to manage resources effective is an urgent problem for grid technology. WSDM is about defining a common manageability structure and message exchange format, defines a Web service message protocol for management information, and a management interface for a manageable resource present on the Web. Taking a real case of storage grid system, a practice application of grid resource management based on Web Services Distributed Management (WSDM) is given in this paper. This paper also discusses the disadvantages of WSDM application in the area.

Efficient Job Scheduling in Computational Grid Systems Using Wind Driven Optimization Technique

2018 ◽  
Vol 9 (1) ◽  
pp. 49-59
Author(s):  
Tarun Kumar Ghosh ◽  
Sanjoy Das
Keyword(s):  
Job Scheduling ◽  
Scheduling Algorithm ◽  
Optimization Technique ◽  
Computational Grid ◽  
Grid System ◽  
Swarm Optimization ◽  
Grid Systems ◽  
Geographically Distributed ◽  
Job Scheduler ◽  
Computational Resources

Computational Grid has been employed for solving complex and large computation-intensive problems with the help of geographically distributed, heterogeneous and dynamic resources. Job scheduling is a vital and challenging function of a computational Grid system. Job scheduler has to deal with many heterogeneous computational resources and to take decisions concerning the dynamic, efficient and effective execution of jobs. Optimization of the Grid performance is directly related with the efficiency of scheduling algorithm. To evaluate the efficiency of a scheduling algorithm, different parameters can be used, the most important of which are makespan and flowtime. In this paper, a very recent evolutionary heuristic algorithm known as Wind Driven Optimization (WDO) is used for efficiently allocating jobs to resources in a computational Grid system so that makespan and flowtime are minimized. In order to measure the efficacy of WDO, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are considered for comparison. This study proves that WDO produces best results.

Research on Resource Scheduling Algorithm Integrating Task Weight and Multi-QoS Constraint

2011 ◽  
Vol 52-54 ◽  
pp. 1125-1130
Author(s):  
Jing Chen ◽  
Ming Xin Liu
Keyword(s):  
Scheduling Algorithm ◽  
Resource Scheduling ◽  
Grid Resource ◽  
Resource Information ◽  
Grid Resource Scheduling ◽  
Utilization Ratio ◽  
Simulation Results ◽  
And Task

To improve the utilization ratio of resources and the complete number of tasks, a kind of a new grid resource scheduling algorithm TWMQC (based on Task Weight and Multi-QoS Constraint) integrating multi-QoS constraint with task weight was proposed. The accomplished process of grid resource scheduling algorithm was transformed multi attribute constraints of resource and task, according to the parametric resource information and task information, classified different task weight sets based on the priority of tasks. Multi-QoS constraints of deadline of gridlets, bandwidth and CPU were defined, and the correlative algorithms were simulated by the GridSim toolkits. The simulation results show that algorithm TWMQC, which integrating multi-QoS constraint and tasks weight is superior in solving such kind of issues by comparing and analyzing the result data.

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