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A Study of ATLAS grid Performance for distributed Analysis

A Study of ATLAS Grid Performance for Distributed Analysis

引用

international conference on computing in High Energy and Nuclear Physics (CHEP)

作者： Panitkin, Sergey Fine, Valery Wenaus, Torre Brookhaven Natl Lab Upton NY 11973 USA

In the past two years the ATLAS Collaboration at the LHC has collected a large volume of data and published a number of ground breaking papers. The grid-based ATLAS distributed computing infrastructure played a crucial role in enabling timely analysis of the data. We will present a study of the performance and usage of the ATLAS grid as platform for physics analysis in 2011. This includes studies of general properties as well as timing properties of user jobs (wait time, run time, etc). These studies are based on mining of data archived by the PanDA workload management system.

关键词： distributed computer systems

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ISSUES IN IMPLEMENTING A SCIENTIFIC DATA grid BASED ON PEER-TO-PEER ARCHITECTURE

ISSUES IN IMPLEMENTING A SCIENTIFIC DATA GRID BASED ON PEER-...

引用

international conference on computing and Informatics

作者： Abdullah, Azizol Othman, Mohamed Sulaiman, Md Nasir Ibrahim, Hamidah Othman, Abu Talib Univ Putra Malaysia Fac Comp Sci & Inforinat Technol Serdang 43400 Selangor Malaysia Univ Kuala Lumpur MARA Infotech Inst Kuala Lumpur 50250 Malaysia

ISBN: (纸本)9781424402199

grid and Peer-to-Peer (P2P) networks enable the sharing and aggregation of geographically distributed resources. grids mostly deals with large computational problems and provide geographically distributed resources for large-scale data-intensive applications that generate large data sets, whereas P2P provides a way for sharing huge volumes of data. In a modern scientific computing, the communities of researchers involves in organizing, moving, visualizing, and analyzing massive amounts of a very large data collections in a geographically distributed environment. Research in the area of grid and P2P computing;have given us various ideas and solutions to address the problems. One of the most challenging issues in grid computing that address above requirements is locating and sharing remote data. In this paper, we illustrate the idea of using P2P approach for locating and sharing data in scientific data grid environment through our P2P Scientific Data grid Framework.

关键词： data grid data sharing peer-to-peer

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Dynamic, context-aware, least-privilege grid delegation 07

Dynamic, context-aware, least-privilege Grid delegation

引用

8th IEEE/ACM international conference on grid computing

作者： Ahsant, Mehran Basney, Jim Johnsson, Lennart Royal Inst Technol Ctr Parallel Comp Valhallavagn 79 S-10044 Stockholm Sweden Univ Illinois Natl Ctr Supercomp Appl Urbana IL 61801 USA

ISBN: (纸本)9781424415595

Performing delegation in large scale, dynamic and distributed environments with large numbers of shared resources is more challenging than inside local administrative domains. In dynamic environments like grids, on one hand, delegating a restricted set of rights reduces exposure to attack but also limits the flexibility and dynamism of the application;on the other hand, delegating all rights provides maximum flexibility but increases exposure. This issue has not yet been adequately addressed by current grid security mechanisms and is becoming a very challenging and crucial issue for future grid development. Therefore, providing an effective delegation mechanism which meets the requirements of the least privilege principle is becoming an essential need. Furthermore, we are witnessing a phenomenal increase in the automation of organizational tasks and decision making, as well as the computerization of information related services, requiring automated delegation mechanisms. In order to meet these requirements we introduce an Active Delegation Framework which extends our previous work on on-demand delegation, making it context-aware. The framework provides a just-in-time, restricted and dynamic delegation mechanism for grids. In this paper we describe the development of this framework and its implementation and integration with the Globus Toolkit.

关键词： Concurrent computing distributed computing grid computing Application software Large-scale systems Automation Decision making Resource management Information security Runtime

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Zigzag: local-information-based self-optimizing routing in virtual grid networks

Zigzag: local-information-based self-optimizing routing in v...

引用

33rd IEEE international conference on distributed computing Systems (ICDCS)

作者： Takatsu, Shusuke Ooshita, Fukuhito Kakugawa, Hirotsugu Masuzawa, Toshimitsu Osaka Univ Grad Sch Informat Sci & Technol Osaka Japan

ISBN: (纸本)9780769550008

In this paper, we present a local-informationbased self-optimizing routing protocol Zigzag in virtual grid networks. A virtual grid network is obtained by virtually dividing a wireless network into a grid of geographical square regions called cells, and is used in MANETs and sensor networks to reduce energy consumption. A single node is selected as a router at each cell and inter-cell communication is realized by using the routers. Other nodes in the cell have no responsibility for inter-cell communication and can become inactive to save energy consumption. We consider maintenance of an inter-cell communication path to a destination node from its source node. When the destination node moves to a cell next to the current one, the path can be simply updated by extending it to the next cell. But, if the destination node moves around the network, the path becomes redundantly long and needs to be shortened. In this paper, we propose a self-optimizing routing protocol Zigzag in virtual grid networks, which can transform any given inter-cell path to a shortest (or minimum-hop) one by repeatedly applying local updates on the path. The routers locally and asynchronously update the path based only on local information and require no global information of the path such as the locations of the destination and the source nodes. We also show that the convergence time to a shortest path from any given path P is O(|P|) in the synchronous execution where |P| is the length (or the number of hops) of P.

关键词： Wireless network Virtual grid network Routing protocol Self-optimization Local information

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D2PCP: DISSECTING distributed DATA TO PREDICT CRIME PATTERN USING HADOOP PLATFORM 4

D2PCP: DISSECTING DISTRIBUTED DATA TO PREDICT CRIME PATTERN ...

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4th IEEE international conference on Parallel, distributed and grid computing (IEEE PDGC)

作者： Partap, Manu Chopra, Anshu Sri Sai Coll Engn & Technol Dept Comp Sci & Engn Badhani Punjab India

ISBN: (纸本)9781509036691

Basic numerical synopses normal, least, whole were adequate for the business issues of the 1980s and 1990s. A lot of complex information, however, requires new systems. Perceiving client inclinations requires investigation of procurement history, yet, likewise a nearby examination of searching conduct and items saw, remarks furthermore, audits signed on a site, and even grumblings and issues raised with client bolster staff. Foreseeing conduct requests that clients be assembled by their inclinations, so that conduct of one individual in the gathering can be utilized to anticipate the conduct of others. The calculations included incorporate characteristic dialect handling, example acknowledgment, machine learning and that's only the tip of the iceberg. These methods run extremely well on Hadoop. In this research we are propose PCP Predict crime pattern approach in hadoop for detect the pattern from the distributed warehouse.

关键词： Hadoop Data DISSECTING distributed computing Cloud computing Data Mining

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Cloud-Enabled Scalable Decision Tree Construction

Cloud-Enabled Scalable Decision Tree Construction

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5th international conference on Semantics, Knowledge and grid

作者： Han, Yuzhang Brezany, Peter Janciak, Ivan Univ Vienna Dept Comp Sci Vienna Austria

ISBN: (纸本)9781424452781

Cloud computing, as a newly emerging technology, is an innovation providing dynamically scalable and virtualized resources as services. In this paper, we introduce our recent effort to build a service-oriented distributed computational system based on the Cloud concepts named distributed Computational Service Cloud. This kind of Cloud hosts scalable grid services, which are implemented with Web-Services-Resource-Framework-compliant (WSRF) [1] Web services, enabling high-performance and distributed computing. We evaluate the Cloud using scalable decision tree service, which provides computational intensive data mining algorithm. The architecture of the system as well as details of the distributed decision tree construction is the kernel content of this paper.

关键词： Cloud computing Decision Tree distributed computation Web service

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grid-based decision support with pro-active mobile computing

Grid-based decision support with pro-active mobile computing

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IEEE international conference on Services computing

作者： Ong, M Alkarouri, M Ren, X Allan, G Kadirkamanathan, V Thompson, HA Fleming, PJ Univ Sheffield Rolls Royce Supported Univ Technol Ctr Control & Dept Automat Control & Syst Engn Sheffield S10 2TN S Yorkshire England

ISBN: (纸本)0769524087

With the emergence of grid computing and service-oriented architectures, computing is becoming increasingly less confined to traditional computing platforms. grid computing promises the accessibility of vast computing and data resources across geographically dispersed areas. This capability is significantly enhanced by establishing support for mobile wireless devices to deliver access to high-performance computing under demanding circumstances. Access to the grid from mobile devices can be very effective in business environments where users can access the vast computing power and data repositories on the grid while working out on the field. This also enables and encourages collaborative working environments. A grid demonstrator system for distributed aircraft health monitoring already developed and implemented in the UK E-Science grid project, DAME, is introduced In this demonstrator, CBR technology for decision support is implemented in a practical framework that enables grid-based, proactive mobile computing.

关键词： Decision support systems

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A resource management system for data-intensive applications in desktop grid environments

A resource management system for data-intensive applications...

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18th IASTED international conference on Parallel and distributed computing and Systems

作者： Toyama, Toshiaki Yamada, Yoshito Konishi, Katsumi Kogakuin Univ Grad Sch Informat Dept Comp Sci & Commun Engn Tokyo Japan Tokyo Inst Technol Grad Sch Engn Dept Commun & Integrated Syst Tokyo Japan Kogakuin Univ Fac Informat Dept Comp Sci Tokyo Japan

ISBN: (纸本)9780889866386

grid computing using idle desktop PCs is popular as a low-cost platform for high-throughput applications. However, they require high-cost data transfer systems from file servers to calculating nodes when very large amounts of data are handled. This high cost derives from inexpensive I/O of worker PCs and small inexpensive file systems of desktop grid computing. This work describes a desktop grid computing system and proposes a resource management system for volume visualization. The resource management system proposed in this work overcomes problems with high-cost data transfer and helps us to use desktop grid computing for data-intensive applications. The resource management system provides efficient scheduling while considering the data file location and consists of three technical parts: resource management, multiple data replication, and worker selection. The proposed system uses these techniques to make an intelligent reuse of data which has been previously copied. This paper evaluates the proposed system compared with a traditional system that does not consider data file location. The proposed resource management System provides efficient scheduling and appears to achieve good performance for data-intensive applications.

关键词： desktop grid computing PC grid resource management data-intensive applications volume visualization parallel visualization

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Smart Redundancy for distributed Computation

Smart Redundancy for Distributed Computation

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31st international conference on distributed computing Systems (ICDCS)

作者： Brun, Yuriy Edwards, George Bang, Jae Young Medvidovic, Nenad Univ Washington Seattle WA 98195 USA Blue Cell Software Los Angeles CA USA Univ Southern Calif Los Angeles CA 90089 USA

ISBN: (纸本)9780769543642

Many distributed software systems allow participation by large numbers of untrusted, potentially faulty components on an open network. As faults are inevitable in this setting, these systems utilize redundancy and replication to achieve fault tolerance. In this paper, we present a novel "smart" redundancy technique called iterative redundancy, which ensures efficient replication of computation and data given finite processing and storage resources, even when facing Byzantine faults. Iterative redundancy is more efficient and more adaptive than comparable state-of-the-art techniques that operate in environments with unknown system resource reliability. We show how systems that solve computational problems using a network of independent nodes can benefit from iterative redundancy. We present a formal analytical analysis and an empirical analysis, demonstrate iterative redundancy on a real-world volunteer-computing system, and compare it to existing methods.

关键词： autonomic distribution autonomic grid computational grid fault tolerance redundancy reliability

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Cloud computing for Monitoring and Controlling of distributed Energy Generations 49

Cloud Computing for Monitoring and Controlling of Distribute...

引用

49th international Universities Power Engineering conference (UPEC)

作者： Bitzer, Berthold Gebretsadik, Enyew Sileshi SWU Ulm Germany

ISBN: (纸本)9781479965571

The worlds' energy demand keeps increasing. To address this demand of energy growth intelligent energy management, monitoring and controlling play a big role besides increasing the energy generation capacity. The future smart grid expected to accommodate and integrates widely dispersed energy sources and distributed energy generations. Advanced information and communication technologies, smart meters and sensors are implemented in smart grid to enable an automated, intelligent and widely distributed energy delivery network. A huge amount of row data is collected by smart meters and sensors from the end user and different part of the network to the computation system, monitoring and controlling centers. An enormous pool of computing resources and storage must be provided to compute this vast amount of data. Processing these data enables the operators to make a knowledge based action as it occurs. This paper discusses the monitoring and controlling of distributed renewable energy generations in smart grid using cloud computing resources. Design and develop a Lab demonstrator and realization of the proposed solution to utilize the advantage of unlimited resources provided by cloud computing.

关键词： Smart grid Cloud computing distributed Energy Generations

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