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Grid Computing has emerged as an important field by its focus on resource sharing. It provides highly scalable, strict secure and high performance. Many of the parallel applications submitted to grid environment may benefit from the allocation of multiple resources such as processors in multiple sites simultaneously. This Processor Co-allocation potentially leads to higher system utilizations and...
Distributed computing has many opportunities for Modeling and Simulation (M&S). Grid computing approaches have been developed that can use multiple computers to reduce the processing time of an application. In terms of M&S this means simulations can be run very quickly by distributing individual runs over locally or remotely available computing resources. Distributed simulation techniques...
Network Learning Community is a web-based learning organization. Learning community learning activities depend on Network technology, with the development of grid computing, it is playing an important role in learning community learning activities because of wide-are educational resource sharing and collaboration applications and distributed learning. By analyzing the grid computing in online education...
An attempt is made in this paper to summarize the state of the art in the interaction between the ICT (information communication technologies) that becomes ubiquitous and the electrical power production and distribution. Both are considered to have a difficult task to fulfill enormous rise of demand that is becoming above all expectations. In the same time they technologically interfere in the sense...
We implemented and evaluated a heterogeneous system architecture that combines a traditional computer cluster with a broadband network of embedded set-top box (STB) devices to provide a distributed computing platform for parallel applications. Our prototype system for broadband grid computing leverages the recent dramatic progress in computational power of STBs. It includes a complete head-end cable...
Energy efficiency and High computing power are basic design considerations across modern-day computing solutions due to different concerns such as system performance, operational cost, and environmental issues. Opportunistic grid infrastructures offer computational power at low cost focused on harvesting idle computing cycles of existing commodity computing resources. Other than allowing to customize...
Cloud computing is rapidly growing as an alternative to conventional computing. However, it is based on models like cluster computing, distributed computing, utility computing and grid computing in general. This paper presents an end-to-end comparison between Cluster Computing, Grid Computing and Cloud Computing, along with the challenges they face. This could help in better understanding these models...
The asset management and schedule measure in Grid computing system are the key technologies of describing the network resources, network management and task assignment. The intelligent schedule measure in Grid Internet system is researched, the essential conditions of realizing intelligent schedule measure are discussed, one intelligent schedule measure is pointed out, and the example prove the advantage...
Advance reservation as an effective technique to support QoS guarantees the availability of resources at specific time. However, it will produce resource fragmentations for processing resource by time sequence, moreover result in lowering resource utilization rate and rising rejection rate in which reservations increased. Based on advance reservation studies, a reservation algorithm with Muti-Parameters...
This paper describes a simple logical method to enhance the security in the grid computing. Object Based Grid Architecture (OGA) is a grid architecture based on object oriented concept to enhance the security in grid computing. In the grid environment the data and the process will be a public one since the job is executed on the public connected system and the resources will be shared among them with...
The assessment of the sustainability and vulnerability of a particular geographical region could be performed by simulating different scenarios based on environmental changes and water quality models. The gSWAT application allows the calibration of the SWAT models and the execution of different scenarios based on calibrated SWAT model over the Grid infrastructure. The requirements for running the...
In recent years, E-learning has been in a continuous development, due to the fact that it eases the process of teaching, evaluation and selfevaluation, offering schedulling flexibility and a tool support. E-learning makes learning content available even in remote locations, eliminating the need to travel to the place where the content is delivered. Nevertheless, the current E-learning platforms have...
This paper presents a model, implementation and performance evaluation of a class loader for Java Platform entirely based on web services (WSBCL). Designed to address the needs of desktop grid computing middle wares, WSBCL can be integrated and used by any Java solution for distributed systems. This class loader allows low computational power devices to act in the role of class repository without...
In recent times, the study of complex network systems, for example communication networks such as the Internet, Smart Grids or Social Networks, have received significant attention. While newly emerging data sets in these domains now allow for a broad quantitative exploration and empirical validation of theoretical models towards a better understanding of complex networks, the enormous size of complex...
Grid computing is the combination of computer resources from multiple administrative domains for a common goal. Grid computing (or the use of a computational grid) is applying the resources of many computers in a network to a single problem at the same time — usually to solve a scientific or technical problem that requires a great number of computer processing cycles or access to large amounts of...
Many factors affect resource management in computational Grid such as heterogeneous resources, scalability and performance. Computational Grid has adopted web services technology to deal with environmental heterogeneity and to enhance interoperability and scalability. In this paper, we present a Service Oriented Manager (SOM) that can be implemented to manage heterogeneous resources in computational...
This paper introduces the existing connectivity and interoperability issues of Clouds, Grids and Clusters, and provides solutions to overcome these issues. The paper proposes several possible solution variants how to pool Cloud resources for executing bag of tasks type jobs. It presents two implementations based on BOINC and Condor. It details performance measurement results obtained by executing...
Grid computing is emerging as the foundation upon which virtual collaborations can be built among large organizations with the aim of integrating and sharing computer resources, and thus offering performance speed and resource availability, which is unattainable by any single institutional technology resources. With the level of increase in the number of tertiary institutions in Africa, and the attendant...
This paper is concerned with the problem of how to share distributed resources. Based on a distributed resource sharing application in schools, an HRRP(k) network is proposed and its properties studied. It is proven that the HRRP(k) network has better performance than a 2-D mesh in group communication. Then, to improve the quality of service (QoS) of the education resource sharing network, several...
Reducing the energy consumption of computing systems has been the topic of many research studies. Specifically, optimizing the energy consumption of applications is important to reduce the carbon footprint and the associated costs. In this paper, we detail a method to profile the energy usage of distributed simulations in a grid environment and conduct several experiments towards characterizing the...
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