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This track started in 2009 with opening remarks from the Chair observing that the computing cloud evolution depends on research efforts from the infrastructure providers creating next generation hardware that is service friendly, service developers that embed business service intelligence in the computing infrastructure to create distributed business workflow execution services and service providers...
To generate large-scale resource management, grid based computing play a crucial role. It represents various geographically dispersed computational resources, i.e. workstations, PCs, cluster, storage devices, and database as fused integrated system, which can play dual roles of synchronized resource donator and consumer in such distributed computation environment. Now a day, in ubiquitous environment...
This paper presents a new online frequency selecting algorithm for asynchronous parallel methods running over grids. It selects a vector of frequencies that gives the best tradeoff between energy consumption and performance. It also has a very small overhead and works without training and profiling. New energy and performance models are used in this algorithm to predict the execution time and the...
Rapid growth of internet and other technologies seems more challenging to develop the high speed networks with powerful capabilities in lower computational cost. To cover the above problem grid computing has emerged rapidly. The previous technologies such as distributed computing cluster computing, parallel computing, etc., facing the problem of space utilization. Using Grid Computing technologies...
Delay Tolerance Networks (DTNs) are the networks in which no end to end path is present between nodes or may partially present with limited period of time. To forward a packet, DTN uses store, carry and forward mechanism. Security is one of the key issues in DTN. There are various security threats such as message modification, packet dropped, and selfish node etc. Nodes which are the part of a DTN,...
Grid computing provides collaborative sharing of resources among the peers across the world. There are various types of resources in a grid at different capacities such as computing, storage, and instruments. Security plays a vital role in setting up a grid and to preserve its resources. Further, trust also plays a vital role in building a confidence level in sharing the resources. T-Grid is the model...
Current state-of-the-art infrastructure-centric deployment and management of distributed web-scale applications cannot scale and meet the demands of changing workloads and increasing demands on application availability, mobility and security. The DIME network architecture has matured during the last four years to offer an alternative to provide a post-Hyper visor, Hyper-Cloud network of applications...
The heterogeneous nature of distributed platforms such as computational Grids is one of the main barriers to effectively deploy tightly-coupled applications. For those applications, one common problem that appears due to the hardware heterogeneity is the load imbalance which slows down the application to the pace of the slower processor. One solution is to distribute the load adequately taking into...
Despite availability of a range of Grid computing platforms, domain specialists and scientists only rarely take advantage of these computing facilities. One reason for this is the complexity of Grid computing, and the need to learn a new programming environment to interact with the Grid. Moreover, users cannot easily deploy their compute tasks to multiple Grid platforms without rewriting their program...
Nowadays, the problems exist in campus-based network construction mainly are repeating construction, low utility of resources and so on. Cloud computing, as a new type of services computing which intends to share resources over long distances, provides a good technology reference for campus-based network construction. After an intensive study of the definition and features of cloud computing, the...
Fault tolerance is an important issue in service oriented architectures like Grid and Cloud systems, where many and heterogeneous machines are used. In this paper we present a flexible failure handling framework which extends a service-oriented architecture for Distributed Data Mining previously proposed, addressing the requirements for handling fault tolerance in service-oriented Grids. In particular,...
Grid computing has recently gained tremendous momentum but still is in its infancy. It has the potential for significant cost reduction and the increased operating efficiencies in computing. Although security issues are delaying its fast adoption, grid computing is an unstoppable force and we need to provide security mechanisms to ensure its secure adoption. In this paper, we propose a comprehensive...
In this paper we survey state-of-the-art of integration and application of Cloud Computing (CC) to High Performance Computing (HPC). Motivation and general application areas are presented demonstrating particular focus on commoditization of HPC resources. Current experiments usually show significant performance differences between CC and HPC infrastructures and also programming models. However, recent...
Bringing forward trust from social systems to system-to-system level can lead to efficiency and robustness improvements in self-organising complex systems. In this paper, we show how trust can enhance the matchmaking and robustness regarding malicious nodes in a Desktop Grid and Volunteer Computing System (DGVCS). We give the agent a suited degree of autonomy to continuously adapt to their environment...
Computing resource federation among collaborators is necessary for smooth promotion of collaborations. However, this is difficult for the collaborators who are using different type grid infrastructures, because of incompatibilities of the grid middleware. Therefore an inter grid job submission specification named HPC Basic Profile (HPCBP) has been defined by the Open Grid Forum (OGF) and many grid...
The rapidly spreading cloud computing paradigm delegates to the network the provision of most resources, even those strictly linked to hardware as storage and CPU time. This approach enables the development of applications which may exploit a variable amount of resources in a flexible way, so as to satisfy the actual load of requests coming from the users. A side effect of such flexibility is that...
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...
Recently GPU computing, namely the possibility to use the vector processors of graphics card as computational general purpose units of High Performance Computing environments, has generated considerable interest in the scientific community. Some communities in European Grid Infrastructure (EGI) are reshaping their applications to exploit this new programming paradigm. Each EGI community, called Virtual...
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...
With the heterogeneous nature of grid, the number of users and resources is large, so far some research institutions have made different grid architecture model. The main architecture has five-level sandglass architecture model, OGSA, and WSRF. This paper analyzes different grid architecture model.
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