42,793 research outputs found
End-to-End QoS Support for a Medical Grid Service Infrastructure
Quality of Service support is an important prerequisite for the adoption of Grid technologies for medical applications. The GEMSS Grid infrastructure addressed this issue by offering end-to-end QoS in the form of explicit timeliness guarantees for compute-intensive medical simulation services. Within GEMSS, parallel applications installed on clusters or other HPC hardware may be exposed as QoS-aware Grid services for which clients may dynamically negotiate QoS constraints with respect to response time and price using Service Level Agreements. The GEMSS infrastructure and middleware is based on standard Web services technology and relies on a reservation based approach to QoS coupled with application specific performance models. In this paper we present an overview of the GEMSS infrastructure, describe the available QoS and security mechanisms, and demonstrate the effectiveness of our methods with a Grid-enabled medical imaging service
Many-Task Computing and Blue Waters
This report discusses many-task computing (MTC) generically and in the
context of the proposed Blue Waters systems, which is planned to be the largest
NSF-funded supercomputer when it begins production use in 2012. The aim of this
report is to inform the BW project about MTC, including understanding aspects
of MTC applications that can be used to characterize the domain and
understanding the implications of these aspects to middleware and policies.
Many MTC applications do not neatly fit the stereotypes of high-performance
computing (HPC) or high-throughput computing (HTC) applications. Like HTC
applications, by definition MTC applications are structured as graphs of
discrete tasks, with explicit input and output dependencies forming the graph
edges. However, MTC applications have significant features that distinguish
them from typical HTC applications. In particular, different engineering
constraints for hardware and software must be met in order to support these
applications. HTC applications have traditionally run on platforms such as
grids and clusters, through either workflow systems or parallel programming
systems. MTC applications, in contrast, will often demand a short time to
solution, may be communication intensive or data intensive, and may comprise
very short tasks. Therefore, hardware and software for MTC must be engineered
to support the additional communication and I/O and must minimize task dispatch
overheads. The hardware of large-scale HPC systems, with its high degree of
parallelism and support for intensive communication, is well suited for MTC
applications. However, HPC systems often lack a dynamic resource-provisioning
feature, are not ideal for task communication via the file system, and have an
I/O system that is not optimized for MTC-style applications. Hence, additional
software support is likely to be required to gain full benefit from the HPC
hardware
Master-modes in 3D turbulent channel flow
Turbulent flow fields can be expanded into a series in a set of basic
functions. The terms of such series are often called modes. A master- (or
determining) mode set is a subset of these modes, the time history of which
uniquely determines the time history of the entire turbulent flow provided that
this flow is developed. In the present work the existence of the
master-mode-set is demonstrated numerically for turbulent channel flow. The
minimal size of a master-mode set and the rate of the process of the recovery
of the entire flow from the master-mode set history are estimated. The velocity
field corresponding to the minimal master-mode set is found to be a good
approximation for mean velocity in the entire flow field. Mean characteristics
involving velocity derivatives deviate in a very close vicinity to the wall,
while master-mode two-point correlations exhibit unrealistic oscillations. This
can be improved by using a larger than minimal master-mode set. The near-wall
streaks are found to be contained in the velocity field corresponding to the
minimal master-mode set, and the same is true at least for the large-scale part
of the longitudinal vorticity structure. A database containing the time history
of a master-mode set is demonstrated to be an efficient tool for investigating
rare events in turbulent flows. In particular, a travelling-wave-like object
was identified on the basis of the analysis of the database. Two
master-mode-set databases of the time history of a turbulent channel flow are
made available online at http://www.dnsdata.afm.ses.soton.ac.uk/. The services
provided include the facility for the code uploaded by a user to be run on the
server with an access to the data
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BaBar simulation production - A millennium of work in under a year
The BaBar experiment requires simulated events beyond the ability of a single computing site to provide. This paper describes the evolution of simulation and job management methods to meet the physics community requirements and how production became distributed to use resources beyond any one computing center. The evolution of BaBar simulation along with the development of the distribution of the computing effort is described. As the computing effort is distributed to more sites there is a need to simplify production so the effort does not multiply with number of production centers. Tools are created to be flexible in handling errors and failures that happen in the system and respond accordingly, this reduces failure rates and production effort. This paper will focus on one cycle of simulation production within BaBar as a description of a large scale computing effort which was fully performed, and provided new simulation data to the users on time
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