Monitoring the US ATLAS Network Infrastructure with perfSONAR-PS

Global scientific collaborations, such as ATLAS, continue to push the network requirements envelope. Data movement in this collaboration is routinely including the regular exchange of petabytes of datasets between the collection and analysis facilities in the coming years. These requirements place a high emphasis on networks functioning at peak efficiency and availability; the lack thereof could mean critical delays in the overall scientific progress of distributed data-intensive experiments like ATLAS. Network operations staff routinely must deal with problems deep in the infrastructure; this may be as benign as replacing a failing piece of equipment, or as complex as dealing with a multi-domain path that is experiencing data loss. In either case, it is crucial that effective monitoring and performance analysis tools are available to ease the burden of management. We will report on our experiences deploying and using the perfSONAR-PS Performance Toolkit at ATLAS sites in the United States. This software creates a dedicated monitoring server, capable of collecting and performing a wide range of passive and active network measurements. Each independent instance is managed locally, but able to federate on a global scale; enabling a full view of the network infrastructure that spans domain boundaries. This information, available through web service interfaces, can easily be retrieved to create customized applications. The US ATLAS collaboration has developed a centralized “dashboard” offering network administrators, users, and decision makers the ability to see the performance of the network at a glance. The dashboard framework includes the ability to notify users (alarm) when problems are found, thus allowing rapid response to potential problems and making perfSONAR-PS crucial to the operation of our distributed computing infrastructure.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/98635/1/1742-6596_396_4_042038.pd

P17-04. Targeting HIV peptides to human dendritic cells via CD40 elicits expansion of multi-epitope polyfunctional CD4+ and CD8+ T cells in HIV patients

International audiencen.

S04-04 OA. HIV-specific responses induced by anti-CD40 targeting antibodies

International audiencen.

Architectures for wireless sensor networks

The vision of ubiquitous computing requires the development of devices and technologies that can be pervasive without being intrusive. The basic component of such a smart environment will be a small node with sensing and wireless communications capabilities, able to organize itself flexibly into a network for data collection and delivery. Building such a sensor network presents many significant challenges, especially at the architectural, protocol, and operating system level. Although sensor nodes might be equipped with a power supply or energy scavenging means and an embedded processor that makes them autonomous and self-aware, their functionality and capabilities will be very limited. Therefore, collaboration between nodes is essential to deliver smart services in a ubiquitous setting. New algorithms for networking and distributed collaboration need to be developed. These algorithms will be the key for building self-organizing and collaborative sensor networks that show emergent behavior and can operate in a challenging environment where nodes move, fail, and energy is a scarce resource. The question that rises is how to organize the internal software and hardware components in a manner thatwill allowthem towork properly and be able to adapt dynamically to new environments, requirements, and applications. At the same time the solution should be general enough to be suited for as many applications as possible. Architecture definition also includes, at the higher level, a global view of the whole network. The topology, placement of base stations, beacons, etc. is also of interest. In this chapter, we will present and analyze some of the characteristics of the architectures for wireless sensor networks. Then, we will propose a new dataflow-based architecture that allows, as a new feature, the dynamic reconfiguration of the sensor nodes software at runtime

P19-26. Directing macaque immune responses with an anti-dendritic cell HIV Gag p24 fusion protein vaccine

International audiencen.

Summary of EC Superelement Results for OH Inter-Module Connecting Forces

The purpose of this report is to summarize the OH module connecting forces found as a result of the super-element modeling of the EC internal module structure. Although not presented here, this approach can also provide MH connecting forces and assembly deflections. This report includes only information on the OH connecting forces for various assumed connector schemes. The super-element machinery is in place to model other connector ideas, and provide information on overall deflections, MH connecting forces, and primary module stresses

A General Encoding Framework for Representing Network Measurement and Topology Data

SUMMARY Scientific applications are evolving rapidly and rely heavily on the network for data movement, communication, control, and result collection. Efforts to construct intelligent software that is aware of network status as well as features related to the logical and physical aspects of the topology will enable scientists the ability to alter these behaviors and enhance overall performance. The status of the network over time is delivered through monitoring software such as perfSONAR which relies on properly formatted and standardized description formats delivered from the deployed infrastructure [1]. We present a general model used to represent both network measurements collected from performance tools as well as describing the physical and logical characteristics of the underlying network. This system is currently being standardized in the Open Grid Forum to enable other uses within the wider grid and distributed computing community [2]

Summary of ANSYS and Strain Gauge Results for the EC Calorimeter OH and MH Modules

The OH and MH modules of the EC calorimeter consist essentially of metal boxes containing calorimetry plates. These plates can contribute to the module behavior only in compression, with this effect being enhanced if the plates are compressively preloaded against the skin of the box prior to assembly. The finite element method can be applied in the analysis of these modules. Its advantages are: 1. The structural components can be modeled with less simplification than beam theory allows. The angled faces of the OH modules can be represented exactly, and the shear deflections inherent in short, deep beams will be a natural part of the solution. 2. The finite element method can be subjected to any number of realistic loadings. 3. With proper mesh density relevant stresses can be extracted. The disadvantages of the method are that exact modeling of the internal plates is difficult, time consuming, and computationally expensive. It is of interest, then, to verify how well a simple model of the structural components only (i.e., the skin, endplates, and any structural internal plates) predicts deflections and stresses which can be relied on for design purposes. The finite element modeling of the OH and MH EC modules has been under constant review since the technique was first applied to these structures. Early verification attempts were based on comparison of finite element deflection predictions with measured module deflections. These comparisons were not entirely successful, due primarily, in the author's opinion, to the difficulty of measuring the actual module deflections with acceptable accuracy. It was proposed in October, 1986, that verification be based on stress, rather than deflection. The purpose of this report is to summarize the results of four experiments which were conducted to determine the accuracy with which ANSYS finite element models could predict the stresses in the OH and MH EC modules as measured by strain gauges. The three comparisons with actual module prototypes show that ANSYS can predict with good accuracy the stresses in those regions far from discontinuities where the stress gradient is low. In all regions, but particularly those of high gradient, ANSYS will tend to overestimate the stress. The comparison with the skin-only module shows that the basic approach is sound and exhibits the behavior expected from a finite element analysis. Finite element analysis can clearly be a useful part of the module design process when augmented by experimental and closed-form analytical techniques