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The issue of applying high performance computing (HPC) techniques to computation-intensive probabilistic optimal power flow has not been well discussed in literature. In this paper, the probabilistic convex AC OPF based on second order cone programming (P-SOCPF) is formulated. The application of P-SOCPF is demonstrated by accounting uncertainties of loads. To estimate the distributions of nodal prices...
Web-based service-oriented grid computing refers to a distributed computing system comprising a collection of interconnected and virtual computers that provides web-based services via the Internet. These services are based on Service Level Agreements (SLAs) established by negotiation between service providers and consumers. SLAs are contractual obligations that define the mutually agreed understandings...
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...
The trend of grid computing available on the Internet has generated challenges to the allocation of resources provided by this type of environment. Considering the user's satisfaction, many of these challenges can be solved by the quality of experience paradigm that takes into account several context parameters. Considering the resources utilization, the quality of context paradigm can be used to...
Agents and agent systems are becoming more and more important in the development of a variety of fields such as ubiquitous computing, ambient intelligence, autonomous computing, intelligent systems and intelligent robotics. In this paper, we analyze how agent technology is presented in mathematical models of computation demonstrating how these models are used in the novel distributed intelligent managed...
Desktop Grid (DG) systems use a combination of geographically heterogeneous distributed resources to execute jobs from science and engineering projects. Organization of the distributed resources are administrated by scheduling policies. To evaluate and prove the effectiveness of DG scheduling policy, a simulator is necessary since DG is an unpredictable and unrepeatable environment. Hence, the goal...
An underwater ad-hoc sensor network differs from terrestrial network in terms of energy consumption, communication and topology. An acoustic communication is identified as energy efficient way of communication in such networks. Further a multi-hop acoustic communication from bottom of the water to the surface adds many folds to save sensors' energy. To avoid battery recharging or replacement a better...
Chaotic signals are difficult to be identified & predicted as they have an element of randomness & are aperiodic. Hence, recently many researchers have been trying to utilize these characteristics of chaotic signals in secure communication systems. In this paper, a memristor based chaotic system has been used for the purpose of signal masking in communication systems. Simulation results verify...
Grid computing involves sharing data storage and coordinating network resources. The complexity of scheduling increases with heterogeneous nature of grid and is highly difficult to schedule effectively. The goal of grid job scheduling is to achieve high system performance and match the job to the appropriate available resource. Due to dynamic nature of grid, the traditional job scheduling algorithms...
We address the problem of usage license administration in federated settings. This problem arises whenever organizations, such as educational or research groups or institutions, share resources for business and scientific reasons. In such settings, each user's usage of a licensed resource is typically supported by the user's organization. License administration involves satisfying legal requirements...
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...
Load balancing is a major problem in grid computing systems to balance the computing resources are used to achieve optimal load processing time . The method used in load balancing by adjusting burden on computing resources that will be provided . Coordination of each computing resource is done by looking at the ability of each computing resource . Load balancing algorithm for heterogeneous computing...
Distributed data center architectures have been recently developed for a more efficient and economical storage of data. In many models of distributed storage, the aim is to store the data in such a way so that the storage costs are minimized and increased redundancy requirements are maintained. However, many approaches do not fully consider issues relating to delivering the data to the end user and...
Grid computing supports a host of research areas, but it still lacks successful case studies concerning industrial problems. This paper shows an application developed to profit from grid computing resources to support the product-mix decision making in a plastic company.
The Unified Curvilinear Ocean Atmospheric Model (UCOAM) is a Large Eddie Simulation (LES) CFD model capable of running both ocean and atmospheric simulations. It is the only environmental model in existence today using a full, 3D curvilinear coordinate system, which results in increased accuracy and resolution. UCOAM is a petascale model: it is capable of resolving sub-km scale fluctuations requires...
Service Level Agreements in Grids improve upon the Best Effort Approach which provides no guarantees for provision of any Quality of Service (QoS) between the End User and the Resource Provider. Risk Assessment in Grids improves upon SLA by provision of Risk information to resource provider. Most of the previous studies of Risk Assessment in Grids work at node level. As a node failure can be a failure...
Supervising and allocating resources in highly dynamic grid environment is an important issue. Tsai et al. proposed a non-grouped grid node model. With non-grouped model, the CPU consumption caused by supervising nodes would raise with the increasing number of nodes. To reduce the CPU consumption, we proposed a grouped grid node model in this study. We classified grid nodes into grouped nodes based...
Composing distributed trivial grid services into composite and more powerful services is an effective way to realize grid resource sharing and function reuse. BPEL4Grid is a grid-compliant workflow engine which supports for WSRF standard and GSI mechanism. But BPEL4Grid has some limitations such as its static workflow model and lack of task migration when target service is invalid. Aiming to resolve...
In this paper we propose an approach of risk aversion for the situations with many risk parameters. Some of the parameters are described probabilistically, and others possibilistically. We introduce mixed risk premium vector, a notion, which combines probabilistic and possibilistic aspects of risk aversion. The main result of the paper is a formula for the calculation of the mixed risk premium vector...
ISDEP (Integrator of Stochastic Differential Equations for Plasmas) is a Monte Carlo code that solves the plasma dynamics in a fusion device and perfectly scales on distributed computing platforms. Montera is a recent framework developed for achieving Grid efficient executions of Monte Carlo applications, as ISDEP is. In this work, the improvement of performing the calculations of ISDEP with Montera,...
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