Performance Analysis Of High‐performance File‐transfer Systems For Grid Applications

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High Performance Data Transfer in Grid Environment Using

ness of high-performance commodity systems, have led to massive deployments of compute and storage systems on a global scale. In such Grid-based scenarios, as shown in Figure 1, bulk data transfer within and across these physically separated clusters or data centers has become an inescapable requirement for scientific data-set distribution,

The OptIPuter: High-Performance, QoS-Guaranteed Network

lambdas to small groups of applications for secure, high-performance and reliable execution; a decidedly different goal from the Internet a shared network resources for millions of users. Specifically, an OptIPuter is a middleware-enabled, configurable collection of private optical networks and Grid resources [6].

A High-Performance Cluster Storage Server

Data-intensive applications constitute an increasing share of high performance computing (HPC). An increasing number of applications in domains such as genomics/proteomics [1,2,3,4], astrophysics [5], geophysics [6], computational neuroscience [7], or volume rendering [8], need to archive, retrieve, and process increasingly large datasets.

Potential and Challenges of Grid Computing

applications in a distributed resource environment !File transfer, Job management, Information, Security, !Moved through several versions, clients and APIs to grid services and web services !Base components of many higher level tools !Success stories today: LIGO data, MONTAGE, caBIG, Earth System Grid, 3

Redundant Parallel File Transfer with Anticipative Adjustment

Keywords: Data Grid, Globus, GridFTP, Co-allocation, Partial Transfer, Parallel file transfer 1. Introduction Heretofore, Grid research was mainly focused on the coordination of geographically distributed compute resources for high performance. Presently, the requests of collaborating and sharing huge

Junwei Cao - stuff.mit.edu

Such goals within the high performance community will rely on accurate performance prediction capabilities. An existing toolkit, known as PACE (Performance Analysis and Characterisation Environment), is used to provide quantitative data concerning the performance of sophisticated applications running on high performance resources.

A GPU Accelerated High Performance Cloud Computing

unsuitable for grid enabling. Numerical models based on systems of differential equations solved by finite difference or finite elements me thods belong to this application class. In the world of parallel computing, these applications can achieve high performance thanks to message passing libraries as PVM [67] and, mainly, MPI [46].

Performance Estimation of Static Grid Octagonal Topology

executed using packets transmission through octagonal grid network topology. Analysis of different types of applications packets has been done in the present work and study has been represented using graphs. General Terms Octagonal Grid Topology, Performance, Packets Keywords Distributed Computing, Octagonal Grid Topology, Packet

High Performance Computing and Communications

Development and Performance Study of a Zcro-Copy File Transfer Meehanism for VlA-ßased PC Cluster Systems 310 S. Park, S.-H. Chung, LS. Yoon DPCT: Distributed Parity Cache Table for Redundant Parallel File System 320 S.-K. Hang, Y. H.iu On High Performance Multicast Algorithms for Intercoimectioii Networks 330

The Particle Physics Data Grid (PPDG) Project

hIssues in Fault Tolerance and the Grid University of California San Diego hNeST: Network Storage Flexible Commodity Storage Appliances University of Wisconsin hProphesy: Performance Analysis & Modeling for Distributed Applications Northwestern University hHigh-performance bulk data transfers with TCP University of Chicago

Grid Computing Fall 2004 8/31/2004 Paul A. Farrell

User-focused grid middleware, tools, and services To enable applications to use Grid resources by masking some of the complexity involved in system activities such as authentication, file transfer, etc. To connect applications and users with the common Grid infrastructure DiSCoV Paul A. Farrell Grid Computing 12 A Community Grid Model

Grid Computing - Kent State University

User-focused grid middleware, tools, and services To enable applications to use Grid resources by masking some of the complexity involved in system activities such as authentication, file transfer, etc. To connect applications and users with the common Grid infrastructure Paul A. Farrell 2006 Grid Computing 27 Grid Computing 29

A Framework for the Design and Reuse of Grid Workflows

Grid Workflows can be seen as special scientific workflows that exhibit features of high-performance computing (HPC) workflows and/or high-throughput computing (HTC) workflows. While the focus of the former is on maximal peak performance, e.g., in terms of floating point operations per second (FLOPs), the latter can deliver

WSRF Services for Composing Distributed Data Mining

A performance analysis of Weka4WS for executing distributed tributed high-performance computing and data processing, a few Grid-based data mining systems have been proposed [1 4].

VSC HPC tutorial for UGent Mac users

designed for distributed memory systems, but can also be used well on shared memory systems. node Seecomputenode. nodeattribute Anodeattributeisanon-quantitativeaspectofanode. Attributestypically describe the node itself or possibly aspects of various node resources such as processors or memory.

Building and Applying Geographical Information System Grids

time applications, is also essential. In general we see the future of many Grid applications as being dominated by data stream filtering, management, event detection, and data mining on data streams from sensors. The connection between sensor data sources and Geographical Information Systems (GIS) is particularly strong.

Analysis of the General GRID Architecture from Persistency

with a variety of protocol features appropriate for grid applications, and integrated with the GASS client library. This will allow grid applications to have ubiquitous, high-performance access to data in a way that is compatible with the most popular file transfer protocol in use today, FTP.

How Distributed Data Mining Tasks can Thrive as Services on Grids

basic Grid mechanisms for handling security, trustiness, monitoring, and scheduling distributed tasks can be used to provide efficient implementation of high-performance distributed data analysis. 4. Grid Service-based data mining frameworks After introducing the service-oriented approach for the

Alpaca: Cactus Tools for Application-Level Performance and

of science and engineering. The difficulty of developing high-performance software is recognised as one of the most significant challenges today in the effective use of large scale computers. Cactus is a framework for science applications which is used to simulate physical

Milestone 2 - University of Washington

Use Grid capabilities to meet short-term requirements for resources that cannot conveniently be located locally Unlike distributed computing, driven by cost-performance concerns rather than absolute performance Dispatch expensive or specialized computations to remote servers

Experiences and Results from a New High Performance Network

Particle Physics Data Grid are developing tools to meet these needs. An additional challenge is the evaluation and fine tuning of these applications, aswell as support for long term monitoring, performance analysis, and troubleshooting. In September 2001, SLAC started the development of a toolkit for

Dynamically Changing the Symmetric Encryption Algorithm for

communication overheads for today s grid systems. A high performance file transfer mechanism for grid computing to achieve excellent performance in a computational grid and used the concept of Lightweight Object-Based (LOB) file transfer System was discussed in [12].

A Gentle Introduction to Grid Computing

There are a lot of applications that leverage Grid technologies to great effect. Most originate in research centers or academia. Out of reach of the layman, but it affects him indirectly. There is no The Grid , but there are a lot of small Grid systems around the world. Introduction to Grid Computing Grid Projects NASA Information Power

High-Performance Remote Access to Climate Simulation Data: A

describe the Earth System Grid prototype, which brings together advanced analysis, replica management, data transfer, request management, and other technologies to support high-performance, interactive analysis of replicated data. We present performance results that demonstrate our ability to manage the location and movement of

Improving HPC System Performance by Predicting Job Resources

High-Performance Computing (HPC) systems are resources utilized for data capture, sharing, and analysis. The majority of our HPC users come from other disciplines than Computer Science. HPC users including computer scientists have difficulties and do not feel proficient enough to decide the required amount of resources

The File Mover: High-Performance Data Transfer for the Grid

The need for a high-performance data transfer mechanism arises from the observation that the completion time of typical data-intensive applications, given by the sum of their execution time and of the time taken to transfer the data they need [37], is often dominated by the data transfer time.

Topaz: A Firefox Protocol Extension for GridFTP Based on Data

reports, basic analysis using spreadsheets, or other desktop software. Within the grid, this data can be accessed using high-performance and secure grid protocols such as GridFTP [3]. However, from the desktop (which is outside of the formal grid) the user must employ different protocols to upload the data to a repository.

EFFICIENT VISUALIZATION BY USING PARAVIEW SOFTWARE ON BALTICGRID

BalticGrid applications developing special purpose parallel reader for partitioned unstructured datasets stored in HDF5 format. GPU rendering on multi-core architectures has been employed and investigated in real grid environment. The performance analysis reveals how efficiently visualization can be performed on gLite based grid. 2.

Grids and High Performance Distributed Computing

Dynamic Applications: Using the Virtual Grid infrastructure (vgES), construct an application which has a specific set of resource requirements (uses a specification to select), and then uses monitoring and adaptation to improve some aspect of its performance. Quantify the dependence of behavior on the dynamic information (i.e. network weather

GridFTP: A Data Transfer Protocol for the Gri d - Open Grid Forum

End -to end performance analysis of high speed distributed storage systems in wide area ATM networ ks. In NASA/Goddard Conference on Mass Storage Systems and Technologies, 1996, LBNL-39064. ii R.W. Watson and R.A. Coyne. The parallel I/O architecture of the high-performance storage system (HPSS). In IEEE MSS Symposium, 1995.

JClarens: A Java Based Interactive Physics Analysis

interactive analysis activities on the Grid. In this paper, we present a Java based infrastructure for High Performance computing to facilitate the remote analysis of data generated by Compact Muon Solenoid Dectector (CMS) [3]. This enables physicists at the European Organization for Nuclear Research (CERN) [4]

Avaki Data Grid Secure Transparent Access to Data

transparent, secure, high-performance access to federated data sets across administrative domains and organizations. Users (both people and applications) of the Avaki Data Grid may be unaware that they are using a data grid. We begin with an examination of alternatives to data grid solutions. We then look at ADG in detail, starting with a close

Passive Identification of Under-Utilized CPUs in High

the analysis of monitored network traffic, which emulates high performance UDP based grid services such as file transfer applications (FOBS, Tsunami, UDT, SABUL, etc.), message passing platforms (MPICHG2/Score, etc.), and others. An energy value is derived from the delay sensitive profile, which represents

HIGH PERFORMANCE COMPUTING: PARADIGM AND INFRASTRUCTURE

1.3 HIGH PERFORMANCE DATA GRID We now turn our attention to the issues related to data replication, scheduling, and data movement, which must be addressed in order to achieve high performance and scalability in data grids. 1.3.1 Data Replication A large body of work has been found on data replication for distributed applications [11][32][35].

High Performance Data Transfer in Grid Environment Using

of high performance commodity systems have led to massive deployments of compute and storage systems on a global scale. In such grid based scenarios, as shown in Figure 1, bulk data transfer within and across these physically separated clusters or data-centers has become an inescapable requirement for the uses of scientific data-

Dynamic Monitoring of High-Performance Distributed Applications

Developers and users of high-performance distrib-uted systems often observe performance problems such as unexpectedly low throughput or high latency. Determining the source of the performance problems requires detailed end-to-end instrumentation of all components, including the applications, operating systems, hosts, and networks.

Satellite Imagery Classification by Process Description Graphs

HiPerGRID - High Performance Grid Middleware, Brasov, Sept 2007 3 Research Objectives Develop a research and academic Grid infrastructure Develop Grid based satellite imagery processing platform Develop environment oriented applications based on satellite imagery classification Paper s objectives: Flexible description and execution of processes

GridFTP: Protocol Extensions to FTP for the Grid

datasets available on the grid. Applications that require access to datastored in different storage systems must either choose to only use a subset of storage systems, ormust use multiple methods to retrieve data from the various storage systems. One approach to breaking down partitions created by these mutually incompatible storagesystem

Optimizing Large Data Transfers over 100Gbps Wide Area Networks

project in context of evaluating Grid applications and middleware on the 100 Gbps ANI testbed. The contribution of this paper is the evaluation of different layers and services (GridFTP, Globus Online, Storage Resource Management, XrootD and Squid) involved in end-to-end analysis systems at 100 Gbps speeds in a wide-area network testbed.

GridFTP and Parallel TCP Support in NaradaBrokering

technologies developed recently, like Grid environments, require reliable, secure high performance file transfer as the most important services. GridFTP [1] [6] is the one of the most common data transfer services for the Grid and is a key feature of Data Grids[10]. This protocol provides secure, efficient data