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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...
Distributed architecture is a fundamental way for science and engineering data application by aggregate power of computing resources connected by networks of the grid. This paper describes a innovative scenarios for intensive rainfall data analysis. The Flood Early Warning System is performed to give an alert in advance about the occurrence of heavy rainfalls around the world. The aim of the project...
The potentials of deploying the applications on high performance computing systems employ a significant impact with performance in the context of computation and communication. In this paper we propose a non-blocking resource broker for a private cloud to address the performance issue. The architecture implemented consists of various services deployed in multiple virtual clusters within the datacenter...
Cloud computing is a computation or service based on concepts like virtualization, utility computing and grid computing provided to end users without requiring them to know the physical location of the system. Dynamic service management is achieved by implementing the cloud where dynamically scalable resources are provided as a service over the internet. In earlier works design of financial system...
At present, data centers consume a considerable percentage of the worldwide produced electrical energy, equivalent to the electrical production of 26 nuclear power plants, and such energy demand is growing at fast pace due to the ever increasing data volumes to be processed, stored and accessed every day in the modern grid and cloud infrastructures. Such energy consumption growth scenario is clearly...
Services and Infrastructures monitoring is a crucial issue in a distributed computing environment that involves all the Grid architecture layers, from the network to the single application service. In this paper we propose a multi layer model that aims to integrate monitoring applications of different subsystems and to offer management and resource presentation services to the end-user and to system...
Cloud Computing is catching more attention around the world with its excellent features in providing the services and advantages in economy both for the end-users and Cloud providers. However, due to lack of enough resources, Cloud vendors currently can only provide general resources and services, like computing as a service but not suitable for research on specific domain. Grid Computing, on the...
Internet of things (IoT) has been researched in recently years. The Savant as a midware provides the data collecting and pre-processing for the IoT applications. Data grid can aggregate the resources in the IoT. Using data grid to build the Savant enables the Savant manage large scale data and optimizes the efficiency of the resources in IoT. In this paper, the data in the IoT is classified, and a...
During the past few years much effort has been put into developing interoperable grid models suitable of defining a decentralized control setting. Such environments may define new rules and actions to internal Virtual Organisation (VO) members and therefore posing new challenges towards to an extended cooperation model of grids. Particularly, VO members' knowledge may be expressed in the form of intelligent...
Data Grids provide services and infrastructure for distributed data-intensive applications accessing massive geographically distributed datasets. An important technique to speed access in Data Grids is replication, which provides nearby data access. Much of the work on the replica placement problem has focused on average system performance and ignored quality assurance issues. In a data grid environment,...
A grid-enabled programming toolkit called GridCuda is proposed in this paper. This programming toolkit provides a platform for users to write programs with the CUDA API, and exploit GPGPU resources available in computational grids to execute their programs. Whenever the CUDA functions in user programs are invoked, they will be transparently redirected to remote GPGPUs for execution by means of remote...
In recent years, we have witnessed a growing interest in optimizing the parallel and distributed computing solutions using scaled-out hardware designs and scalable parallel programming paradigms. This interest is driven by the fact that the microchip technology is gradually reaching its physical limitations in terms of heat dissipation and power consumption. Therefore and as an extension to Moore's...
RT-GRIS, our grid portal, has two purposes. One is effective CPU scavenging and other is supporting a great number of grid node. CPU-scavenging, cycle-scavenging, cycle stealing or shared computing creates a “grid” from the unused resources in a network of participants. It is an important technique for a distribution of grid job and node resource. And, if the grid portal uses fewer resources, those...
This paper analyses information on the electricity consumed by a site of an experimental Grid infrastructure and its correlations with users' resource reservation requests. The power consumption of all servers of this site was monitored for a period of six months, the data was gathered to enable studies on approaches for reducing the energy footprint of Grids and Clouds.
The majority of current security architectures for grid systems use public key infrastructure (PKI) to authenticate identities of grid members and to secure resource allocation to these members. Identity-based secret public keys have some attractive properties which seem to align well with the demands of grid computing. In this Paper, we proposed identity-based secret public keys. Our new identity-based...
Resource discovery is an important aspect of computational Grid. Locating resources in a Grid environment is difficult because of the geographic dispersion and dynamic nature of its resources. In this paper, a center-distributed virtual community model is designed. Based on his model, a novel grid resource discovery method is presented. Its simulation experiment shows the present algorithm can solve...
The number of Internet connected PCs is projected to reach 1 billion by 2015, which means several PetaFLOPS of computing power and a storage capacity around one Exabyte able to exceed the one provided by any centralized system. But at the same time the amount of memory needs for the Organization is also increasing day by day for its various needs. Tapping this unused PC memory to organization storage...
Data grids support distributed data-intensive applications that need to access massive datasets stored around the world. Ensuring efficient access to such datasets is hindered by the high latencies of wide-area networks. To speed up access, files can be replicated so a user can access a nearby replica. Replication also provides improved availability, decreased bandwidth use, increased fault tolerance,...
To backup the remote education service, the software architecture of IPTV Set-Top device embedding Grid-CDN (Content Delivery Network) based on mesh-pull P2P (Peer-to-Peer) technology has been identified. In this paper, we proposed a method supporting a remote education service such as 1:1 or 1:N between subscribers over IPTV service networks, and implemented on a IPTV Set-Top device. In addition,...
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