The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In grid and parallel systems, backfilling has proven to be a very efficient method when parallel jobs are considered. However, it requires a job's runtime to be known in advance, which is not realistic with current technology. Various prediction methods do exist, but none is very accurate. In this study, we examine a grid system where both parallel and sequential jobs require service. Backfilling...
In this paper we are focusing on the minimum requirements to be addressed in order to demonstrate a inter-node communication within a Virtual Organisation (VO) using the method of Self-led Critical Friends (SCF). The method is able to decide paths that a node can choose in order to locate neighbouring nodes by aiming at realizing the overhead of each communication. The weight of each path will be...
During the last decade, the use of parallel and distributed systems has become more common. In these systems, a huge chunk of data or computation is distributed among many systems in order to obtain better performance. Dividing data is one of the challenges in this type of systems. Divisible Load Theory (DLT) is proposed method for scheduling data distribution in parallel or distributed systems. In...
In a distributed system, gang scheduled parallel jobs are considered as an efficient way of scheduling frequently communicating parallel jobs. This paper studies the performance of scheduling strategies in the case of gangs which are dynamically generated based on precedence constraints with formerly executed gangs. The formation of a secondary gang upon the execution of a preceding gang can be necessary...
Data grids provide such data-intensive applications with a large virtual storage framework with unlimited power. However, conventional scheduling algorithms for data grids are unable to meet the reputation service requirements of data-intensive applications. In this paper we address the problem of scheduling data-intensive jobs on data grids subject to reputation service constraints. Using the reputation-aware...
Autonomic computing aims to manage the complex and various computational resources in grid systems. Self-configuration is one of the important properties in autonomic computing. In order to make overlay self-configure effectively, nodes need to know the global information. Centralized model faces bottleneck problems. In decentralized model, nodes need to cooperate with each others. We present a decentralized...
Replication is used in distributed and pervasive computing systems to enhance availability by placing needed data close to the users so that user perceived response time is minimized. In multi-tier data grid environment, replicas are usually placed in either top-down or bottom-up way. We believe that availability of data can be greatly enhanced by using both methods in a coherent way. Our proposed...
Efficient cooperative management on semantic interrelated grid resources is a challenging problem. This paper presents a cooperative grid service framework which mainly has two advantages. First, we design an ontology based algorithm to maintain the consistency in cooperative work with low transmission overhead. Second, we propose a resource recovery mechanism to ensure system robustness. Through...
From the overall performance of simulation grid system, it aimed on that how to determine balance load include mission and traffic, according to analysis relevant performance parameters which related to the bottom of the grid physical resources and the federate application. It is provided that the performance assessment methods with simulation grid system based on grey cluster and not only to prevent...
This paper explores autonomic approaches for optimizing provisioning for heterogeneous workloads on enterprise grids and clouds. Specifically, this paper presents a decentralized, robust online clustering approach that addresses the distributed nature of these environments, and can be used to detect patterns and trends, and use this information to optimize provisioning of virtual (VM) resources. It...
Automatic service composition is an important issue in the field of grid, which enables individual services to be composed together to provide the end user a more powerful service, which would significantly improve the service reuse. This paper proposes a novel service composition approach based on QoS global optimization which tackles the QoS-aware composition optimization problem using ACO algorithm...
With trust degree set to be the foundation of component service selection in composite service, the execution and selection of composite services could be carried out more effectively based on the trust degree of service; It is favorable for those component services with higher trust degree to join into the process of service composition, thus, enhances the trustiness of composite service. Through...
The management of the large scale heterogeneous resources is a critical issue in grid computing. The resource management system (RMS) is an essential component of grids. To ensure the QoS of the upper layer service, it raises high requirement for the performance, fault-tolerance and scalability of RMS. In this paper, we study three typical structures of RMS, including centralized, hierarchical and...
With the development of network infrastructure and grid technology, a large quantity of file resources are required to be accessed and shared especially in scientific area. However the heterogeneous characteristic of these file resources brings a big challenge to programmer. We have designed and implemented the File Resource Broker (FRB), a light-weight and easy-to-use system for integrating heterogeneous...
The virtual infrastructure has become more and more popular in the grid and cloud computing. With the aggrandizement scale, the management of the resources in virtual infrastructure faces a great technical challenge. To support the upper services effectively, it raises higher requirements for the performance, fault-tolerance and scalability of virtual infrastructure management systems. In this paper,...
In order to improve the resource utilization and grid application performance, present a dynamic scheduling approach (scheduling based resource state prediction for short SBRSP). Experimental results demonstrate that this approach diminishes latency and response time of tasks.
This paper proposes an automatic concept extraction and content supporting service, called ACECSS. The service sends a large number of question items to the word segmentation system of Academia Sinica, Taiwan to split each question item into terms. Then, a database of terms is created, and the sequence relation of terms is found. After that, ACECSS will automatically extract concepts associated with...
A wide variety of applications require access to multiple heterogeneous, distributed data sources on grid. However, the quality of data access is still low such as unpredictable response time, irrelevant results, because existing query optimization techniques do not consider the dynamic properties of data resource in grid environments. In this paper, we present a QoS (quality of service)-based data...
In a data grid, large quantities of data files are produced and data replication is applied to reduce data access time. Determining when and where to replicate data in order to meet performance goals in grid systems with many users and files, dynamic network and resource characteristics and changing user behavior is difficult. Therefore efficiency and fast access to replicated data are influenced...
This paper deals with the problem of scheduling workflow applications with quality of service (QoS) constraints, comprising real-time and interactivity constraints, over a service-oriented grid network. A novel approach is proposed, in which high-level advance reservations, supporting flexible start and end time, are combined with low-level soft real-time scheduling, allowing for the concurrent deployment...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.