the computing systems required to collect, analyse and store the physics data at LHC would need to be distributed and global in scope. CMS is actively involved in several grid-related projects to develop and deploy a ...
the computing systems required to collect, analyse and store the physics data at LHC would need to be distributed and global in scope. CMS is actively involved in several grid-related projects to develop and deploy a fully distributedcomputing architecture. We present here recent developments of tools for automating job submission and for serving data to remote analysis stations. Plans for further test and deployment of a production grid are also described.
Since gridcomputing provides users with more distributedcomputing and storage resources, it gives us an opportunity to design new efficient and robust solvers for the numerical solutions of partial differential equa...
详细信息
ISBN:
(纸本)9781424415595
Since gridcomputing provides users with more distributedcomputing and storage resources, it gives us an opportunity to design new efficient and robust solvers for the numerical solutions of partial differential equations (PDEs). For instance, large scale problems in computational fluid dynamics (CFD) can be efficiently simulated under this environment. However, unfortunately, most of the currently developed PDE solvers using the finite element method (FEM), usually tight combinations of a mesh generator and a linear system solver, are not qualified for the gridcomputing environment. In this paper, based on principles of gridcomputing, we present a grid-enabled Client/Server model for solving the Stokes/(incompressible) Navier-Stokes system in 3D.
Utilizing desktop grid infrastructures is challenging for parallel discrete event simulation (PDES) codes due to characteristics such as inter-process messaging, restricted execution, and overall lower concurrency tha...
详细信息
ISBN:
(纸本)9781424415595
Utilizing desktop grid infrastructures is challenging for parallel discrete event simulation (PDES) codes due to characteristics such as inter-process messaging, restricted execution, and overall lower concurrency than typical volunteer computing projects. the Aurora2 system uses an approach that simultaneously provides both replicated execution support and scalable performance of PDES applications through public resource computing. this is accomplished through a multi-threaded distributed back-end system, low overhead communications middleware, and an efficient client implementation. this paper describes the Aurora2 architecture and issues pertinent to PDES executions in a desktop grid environment that must be addressed when distributing back-end services across multiple machines. We quantify improvement over the first generation Aurora system through a comparative performance study detailing PDES programs with various scalability characteristics for execution over desktop grids.
gridcomputing is a new distributedcomputing technology that deals with data-dense and hyper-complex computing applications. Based on the analysis of some typical grid systems, the paper presents a new scheduling emp...
详细信息
ISBN:
(纸本)7506262096
gridcomputing is a new distributedcomputing technology that deals with data-dense and hyper-complex computing applications. Based on the analysis of some typical grid systems, the paper presents a new scheduling emphasized design model for gridcomputing System, and goes further to point out the existing problems and the future trend of this technology.
A very important issue in executing a scientific workflow in computational grids is how to map and schedule workflow tasks onto multiple distributed resources and handle task dependencies in a timely manner to deliver...
详细信息
ISBN:
(纸本)9781424415595
A very important issue in executing a scientific workflow in computational grids is how to map and schedule workflow tasks onto multiple distributed resources and handle task dependencies in a timely manner to deliver users' expected performance. In this paper, we present our work to develop and evaluate an advanced workflow scheduler in computational grid environments, the GRACCE scheduler. the GRACCE scheduler applies advanced scheduling techniques, such as resource negotiation and reservation, data/network-aware scheduling and performance prediction in the resource allocation and execution planning process. To evaluate the scheduler, we have set up an experimental environment that models a computational grid in those aspects relevant to workflow scheduling. Our results show the average performance improvement, using the GRACCE scheduler, is about 20% under high resource loads.
this paper describes a gridcomputing application for the 3D dynamic analysis of large dimension buildings. A previously developed software composed of parallel implementations of eight direct integration methods has ...
详细信息
this paper describes a gridcomputing application for the 3D dynamic analysis of large dimension buildings. A previously developed software composed of parallel implementations of eight direct integration methods has been integrated on this application, in order to perform structural simulations on a grid deployment. the GMarte software abstraction layer has been employed to couple the parallel simulator withthe grid infrastructure. Performing distributed executions has enabled a considerable reduction in the global execution time of structural dynamic studies composed of different design alternatives. (c) 2007 Elsevier Ltd. and Civil-Comp Ltd. All rights reserved.
Replica exchange is a powerful sampling algorithm and can be effectively used for applications such as simulating the structure, function, folding, and dynamics of proteins and drug design. However, grid-based impleme...
详细信息
ISBN:
(纸本)9781424415595
Replica exchange is a powerful sampling algorithm and can be effectively used for applications such as simulating the structure, function, folding, and dynamics of proteins and drug design. However, grid-based implementations of the algorithm present significant challenges due to its synchronization and communication requirements. this paper presents an asynchronous formulation of the replica exchange algorithm and the design and implementation of a grid-based asynchronous replica exchange engine (GARE). GARE is based on CometG, a decentralized computational infrastructure for Desktop grid environments that provides a scalable communication and interaction substrate and presents a virtual semantically specialized shared space abstraction. It enables the dynamic and asynchronous interactions required by the algorithm to be simply expressed and efficiently implemented. the design and implementation of GARE/CometG and the replica exchange simulations that it enables are presented. Experimental evaluations using the PlanetLab [1] wide-area test bed as well as a campus grid environment are presented.
Utility grids create an infrastructure for enabling users to consume services transparently over a global network. When optimizing workflow execution on utility grids, we need to consider multiple Quality of Service (...
详细信息
ISBN:
(纸本)9781424415595
Utility grids create an infrastructure for enabling users to consume services transparently over a global network. When optimizing workflow execution on utility grids, we need to consider multiple Quality of Service (QoS) parameters including service prices and execution time. these optimization objectives may be in conflict. In this paper, we have proposed a workflow execution planning approach using multi-objective evolutionary algorithms (MOEAs). Our goal was to generate a set of trade-off scheduling solutions according to the users QoS requirements. the alternative trade-off solutions offer more flexibility to users when estimating their QoS requirements of workflow executions. Simulation results show that MOEAs are able to find a range of compromise solutions in a short computational time.
In global gridcomputing, users and resource providers organize various Virtual Organizations (VOs) to share resources and services. A VO organizes other sub-VOs for the purpose of achieving the VO goal, which forms h...
详细信息
ISBN:
(纸本)9781424415595
In global gridcomputing, users and resource providers organize various Virtual Organizations (VOs) to share resources and services. A VO organizes other sub-VOs for the purpose of achieving the VO goal, which forms hierarchical VO environments. Resource providers and VOs agree upon VO resource sharing policies, such as resource sharing amount. thus, users in lower-layer VOs can access resources in higher-layer VOs to accomplish their common goals. In this paper, we deal with fair resource allocation problem in hierarchical VOs, so that an appropriate proportion of a VO resource for each lower-layer VO is analyzed. In addition, we provide a resource allocation scheme based on these predefined proportions. Simulation results show that the proposed approach gives better fairness as well as performance compared with other schemes.
暂无评论