Predicting Internet Network Distance using ISOMAP

Abstract-Since coordinate-based methods for network distance prediction can estimate distances more accurately and effectively than previously proposed methods, they have been widely studied and used in Internet applications. However, there still exist at least three problems unsolved: to find a embedding low-dimensional Euclidean space best preserving distance information, to determine the dimension of embedded Euclidean space, and to reduce time and parametric complexity derived from iterative optimizing process. This paper proposes a new coordinate-based method using ISOMAP to address these problems. ISOMAP estimates distances between nodes by their shortest path distance and employs Multidimensional Scaling (MDS) which uses matrix decomposition to find nodes' coordinates in embedding Euclidean space best preserving distances. MDS avoids the complexity of optimization and helps exploit the dimension size of embedding space according to information preservation. Discussion and experiments have proved that the proposed method performs faster and more accurately than the Global Network Positioning (GNP) does

Offline Software Management of the AMS experiment

The Alpha Magnetic Spectrometer (AMS) is a particle physics experiment installed and operating aboard the International Space Station (ISS) from May 2011 and expected to last through 2028 and beyond. The AMS offline software is used for data reconstruction, Monte-Carlo simulation and physics analysis. This paper presents how we manage the offline software, including the version control, automatic integration, automatic deployment, and the distribution

Performance of the AMS Offline Software at National Energy Research Scientific Computing Centre and Argonne Leadership Computing Facility

The Alpha Magnetic Spectrometer [1] (AMS) is a high energy physics experiment installed and operating on board of the International Space Station (ISS) from May 2011 and expected to last through year 2024 and beyond. More than 50 million of CPU hours has been delivered for AMS Monte Carlo simulations using NERSC and ALCF facilities in 2017. The details of porting of the AMS software to the 2nd Generation Intel Xeon Phi Knights Landing architecture are discussed, including the MPI emulation module to allow the AMS offline software to be run as multiple-node batch jobs. The performance of the AMS simulation software at NERSC Cori (KNL 7250), ALCF Theta (KNL 7230), and Mira (IBM BG/Q) farms is also discussed

Offline Software Management of the AMS experiment

The Alpha Magnetic Spectrometer (AMS) is a particle physics experiment installed and operating aboard the International Space Station (ISS) from May 2011 and expected to last through 2028 and beyond. The AMS offline software is used for data reconstruction, Monte-Carlo simulation and physics analysis. This paper presents how we manage the offline software, including the version control, automatic integration, automatic deployment, and the distribution

Monitoring System of the AMS Science Operation Centre

The Alpha Magnetic Spectrometer (AMS) is a high energy physics experiment installed and operating on board of the International Space Station (ISS) from May 2011 and expected to last through year 2024 and beyond. The Science Operation Centre (SOC) is in charge of the offline computing for the AMS experiment, including flight data production, Monte-Carlo simulation, data management, data backup, etc. This paper introduces the design and implementation for the new monitoring system of AMS SOC, from the monitoring data collection at the backend, to the visualisation at the frontend

Monitoring System of the AMS Science Operation Centre

The Alpha Magnetic Spectrometer (AMS) is a high energy physics experiment installed and operating on board of the International Space Station (ISS) from May 2011 and expected to last through year 2024 and beyond. The Science Operation Centre (SOC) is in charge of the offline computing for the AMS experiment, including flight data production, Monte-Carlo simulation, data management, data backup, etc. This paper introduces the design and implementation for the new monitoring system of AMS SOC, from the monitoring data collection at the backend, to the visualisation at the frontend