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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...
Grid computing has recently seen a great importance in diverse applications domains of scientific, industrial, and commercial activities, which demand huge computational power. Unlike traditional cluster computing, large scale grids permit the sharing of grid resources spread through different administrative sites autonomy. The distributed and dynamic features of grid resources, their architectures...
Grid computing provides integrated high-end compute resources across administrative domains. More and more grid infrastructures are being used for mission-critical scientific and engineering applications. Ensuring security and safety of grid environment is a key challenge faced by grid community. First step towards grid security is to be aware of vulnerabilities and weaknesses in the entire grid....
The emergence of the Internet has changed the nature of face-to-face towards online interactions. This leads to the concept of virtual interoperation such as Web Services, Grid, and Cloud Computing. Since existing security mechanisms are insufficient to cover the diversity of workflow application domains, trust is considered as an adaptive, high-level abstraction, and platform-independent solution...
Based on the researches of E-education GRID and Cooperative Intelligent Grid, a new cooperative intelligent grid based E-education platform was designed.
Computational grids have been at the forefront of e-science supercomputing for several years now. Many issues have been settled over the years, but some may only appear to be so. One of these issues is firewall traversal. Many solutions have been proposed and developed. We have developed two such solutions ourselves: Remus and Romulus, but like all other solutions, they are limited in application...
This paper highlights a framework for cyber surveillance of unlawful activities for critical infrastructure protection. The framework uses a computational grid based environment, which is capable of distributed data mining and real time surveillance.
Both cloud and GRID are computing paradigms for the large-scale management of distributed resources. Even if the first is usually oriented to transaction-based applications, and the latter to High Performance Computation, there is a lot of interest in their integration. This is typically obtained through the Infrastructure-as-a-Service cloud model, which is exploited in the GRID context to offer machine...
In a virtual cluster based Cloud Computing environment, the sharing of infrastructure introduces two problems on user management: usability and security. Meanwhile, we observe that most conventional user management frameworks in the network environment are not fit for the scale expansion and interconnection of dynamic virtualization environment. In this paper, we propose VegaWarden, a uniform user...
The uncertainties of grid nodes security are main hurdle to make the job scheduling secure, reliable and fault-tolerant. The fixed fault-tolerant strategy in jobs scheduling may utilize excessive resources. In this paper, the job scheduling decides which kinds of fault-tolerance strategy will be applied to each individual job for more reliable computation and shorter makespan. And we discuss the fuzziness...
The DynaSOAr framework presents a wholly service-oriented approach to grid and Internet-based computing that makes a clear and explicit separation of concerns between service-provision and resource-provision for each service invocation. The separation allows the dynamic deployment of code at runtime, in the form of a service implementation, between a service provider and an explicit resource provider...
When it comes to grid and cloud computing, there is a lot of debate over their relations to each other. A common feature is that grids and clouds are attempts at utility computing. However, how they realize utility computing is different. The purpose of this paper is to characterize and present a side by side comparison of grid and cloud computing and present what open areas of research exist.
Many believe that Cloud will reshape the entire ICT industry as a revolution. In this paper, we aim to pinpoint the challenges and issues of Cloud computing. We first discuss two related computing paradigms - Service-Oriented Computing and Grid computing, and their relationships with Cloud computing. We then identify several challenges from the Cloud computing adoption perspective. Last, we will highlight...
Although event recording on a computer system (also known as logging) is of utmost importance for reconstructing and detecting security relevant events, currently no adequate and sophisticated solution for complex environments, such as Grid and Cloud Computing, exist. Current LOG file formats lack of several important factors, hindering automatic evaluation needed for distributed systems to comply...
Cloud computing is an emerging computing paradigm. It aims to share data valuations, and services transparently among users of a massive grid. It became a hot issue for its advantage such as "reduce costs", "increase business flexibility" and/or "provide business continuity". We study methods to discuss the cloud computing opportunity for Chinese IT industry. Build a...
The last few years have witnessed huge growth in computer technology and available resources throughout the Internet. These resources can be used to run CPU-intensive applications requiring long periods of processing time. Grid systems allow us to take advantage of available resources lying over a network. However, these systems impose several difficulties to their usage (e.g. heavy authentication...
In recent years high performance computing has evolved from large and expensive supercomputers to network based environments or workstation clusters and to grid computing. A grid is composed by geographically sparse resources that join to form a virtual computer. The resources (computers, networks, storage devices, etc.) of the grid are heterogeneous and reside in differentiated domains. An important...
With the development of parallel computing, distributed computing, grid computing, a new computing model appeared. The concept of computing comes from grid, public computing and SaaS. It is a new method that shares basic framework. The basic principles of cloud computing is to make the computing be assigned in a great number of distributed computers, rather then local computer or remoter server. The...
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