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Cloud computing, a rapidly developing information technology, has aroused the concern of the whole world. Cloud computing is Internet-based computing, whereby shared resources, software and information, are provided to computers and devices on-demand, like the electricity grid. Cloud computing is the product of the fusion of traditional computing technology and network technology like grid computing,...
Grid security is a key component in Grid computing. The mainstream Grid security solution, Grid Security Infrastructure (GSI) for Globus Toolkit (GT), offers comprehensive security services. This is achieved by applying public-key cryptography, cryptographic protocols methodologies and the necessary infrastructural supporting services in which public-key authentication framework (PKI) is the main...
Grid computing organizes geographically distributed resources under a single platform and let the users access this combined power. In this paper we have discussed the application of distributed memory caching system in the Grid computing environment to improve its computational environment. For our experiment, we used Alchemi, a .net based Grid computing framework and Memcached, a distributed memory...
Grid Information Service (GIS) is an entity that gathers the latest information about the grid resources. These resources information are then retrieved by the grid users or brokers prior to planning task deployment in a grid environment. Hence, the GIS frequently communicate with the resources for their latest status, and hardware and software specifications. This creates the need for timely and...
We present a web-based Grid job submission system which combines open-source software components and available system services freeing developers from having to deal with Grid middleware, credential management and user authentication. Instead, a Short Lived Credential Service provides the necessary user certificates, while Grisu libraries, developed by the Australian Research Collaboration Service,...
There are many serious and acute physiological conditions about which we have incomplete medical knowledge that can support optimal healthcare intervention. To develop effective treatments a wealth of clinical data is required for collection, analysis and feedback. Such data often does exist but is typically held in a variety of different formats and locations. This paper describes the EU FP7-funded...
Advanced visualization technologies are gaining major importance to interpret, present and manipulate high dimensional biomedical data. Since new health technologies are constantly increasing in complexity, adequate information processing is required for diagnostics, therapy planning and treatment. The combination of advanced visualization resources and biomedical grid infrastructures is a promising...
The performance of remote paging on grids is strongly dominated by the network latency of data transfer. However, the memory clients in the previously proposed remote paging systems do not always put/get pages to/from the memory servers with the least network latency. Consequently, the communication cost of remote paging has not been reduced effectively. To address this problem, we propose an adaptively...
The existing reminder system uses limited context information and has limited functions, so it can't meet users ' needs. This paper presents intelligent business assistant based on context-aware computing platform in a grid computing environment. The platform uses the context modeling and reasoning technology and analyzes the system in the grid environment. At last, the intelligent business assistant...
The Hadoop file system is a large scale distributed file system used to manage and quickly process extremely large data sets. We want to utilize Hadoop to assist with data-intensive workloads in a distributed campus grid environment. Unfortunately, the Hadoop file system is not designed to work in such an environment easily or securely. We present a solution that bridges the Chirp distributed file...
While data grids can provide the ability to solve large-scale applications which require the processing of large amounts of data, they have been recognized as extremely energy inefficient. Computing elements can be located far away from the data storage elements. A common solution to improve availability and file access time in such environments is to replicate the data, resulting in the creation...
In the past decade, many enterprise information systems (EIS) have been developed with enormous resources, such as a dedicated server per application (http, email, DNS, File, SMS, backup, etc). Thus, the overall utilization of EIS is low in compared with its resources, especially the servers. In this paper, we present a practical way to increase the utilization of EIS by consolidating many of the...
Geographically distributed computational infrastructures, based on the grid paradigm, are increasingly coming out of the research sphere where they originated, candidating themselves as a low-effort business solution for accessing and using vaste computating infrastructures, much larger than those small-medium enterprises can usually afford building ”in house”. In such scenario, accounting and billing...
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...
The lack of license management schemes in distributed environments is becoming a major obstacle for the commercial adoption of Grid or Cloud infrastructures. In this paper, we present a complete license management architecture that enables a pay-per-use license management which can be deployed together with an on-demand computing scenario. Our architecture enables authenticated access to a remote...
Based on the researches of E-education GRID and Cooperative Intelligent Grid, a new cooperative intelligent grid based E-education platform was designed.
Energy consumption of data centers has been in-creasing continuously during the last years due to rising demands of computational power especially in current Grid- and Cloud-Computing systems. One promising approach of reducing this energy consumption is the consolidation of servers by virtualization. Many low loaded computer systems are virtualized and run on few physical servers for reducing the...
This paper considers an InfiniBand connection between two bwGRiD clusters over a distance of 28 km in day-to-day production use. We discuss the hardware setup of InfiniBand messages converted and transported over a fiber optic connection. The two clusters can be operated as single system image, the batch system will enforce that all nodes for a job are allocated on one side of the cluster. This is...
Data Grid provides geographically distributed storage resources for large-scale data-intensive applications that generate large data sets. Because data is the important resource in data grids, an efficient management is needed to minimize the response time of applications. Replication is typically used in data grids to improve access time and to reduce the bandwidth consumption. In this paper, we...
BES is a large internationally collaborative experiment, which produces more than 1PB of data every year. To meet the requirements of data storage and analysis, the BESGrid project has been launched. Data management is a very important part of BESGrid, and we designed and developed a large scale data management system. The system is responsible for storing a large amount of data, providing high-performance...
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