The Grid and Pervasive Computing Research Cluster at CSE-UNL (aka, the Systems Group) Spanning Research Areas of : Collaborative Technologies, Physical.

Slides:

Advertisements

Similar presentations

1 Cyberinfrastructure Framework for 21st Century Science & Engineering (CF21) IRNC Kick-Off Workshop July 13,

Advertisements

Telecom Italia GRID activities for 6th FP Program Maurizio Cecchi 3/4 October 2002.

Department of Computer Science and Electrical Engineering.

Based on last years lecture notes, used by Juha Takkinen.

Emerging Trends in Computer Science Dr. Gurvinder Singh Reader, Deptt of Computer Science & Engineering, GNDU, Amritsar.

CS538: Advanced Topics in Information Systems. 2 Secure Location transparency Consistent Real-Time Available Black Box: Distributed Storage [GMM] ? Data.

SING* and ToNC * Scientific Foundations for Internet’s Next Generation Sirin Tekinay Program Director Theoretical Foundations Communication Research National.

Milos Kobliha Alejandro Cimadevilla Luis de Alba Parallel Computing Seminar GROUP 12.

Grids and Grid Technologies for Wide-Area Distributed Computing Mark Baker, Rajkumar Buyya and Domenico Laforenza.

20101 Overview Distributed systems Layers Communication is logically on the application layer Only that has to be considered except for speed,

Introduction to Grid Computing Ann Chervenak Carl Kesselman And the members of the Globus Team.

 Separating system’s concerns from programmer’s concerns  Language constructs for programming distributed systems  Transparency to various system dependent.

ICTs for e-Environment: adapting to climate change and resource depletion Richard Labelle ICT Strategist & ITU-D Consultant The Aylmer.

1 Distributed Systems Introduction Chapter 1. 2 Course/Slides Credits Note: all course presentations are based on those developed by Andrew S. Tanenbaum.

A.V. Bogdanov Private cloud vs personal supercomputer.

Computer Science Perspective Ludek Matyska Faculty of Informatics, Masaryk University, Brno and also CESNET, Prague.

Grid Computing. What is a Grid? Many definitions exist in the literature Early definitions: Foster and Kesselman, 1998 –“A computational grid is a hardware.

Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED SYSTEMS.

1 Advanced Storage Technologies for High Performance Computing Sorin, Faibish EMC NAS Senior Technologist IDC HPC User Forum, April 14-16, Norfolk, VA.

SMUCSE 8344 Term Paper Topics (Always Incomplete).

Cmpe 494 Peer-to-Peer Computing Anıl Gürsel Didem Unat.

Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED.

DISTRIBUTED SYSTEMS Principles and Paradigms Second Edition ANDREW S

Some Thoughts on Sensor Network Research Krishna Kant Program Director National Science Foundation CNS/CSR Program.

COLUMBIA UNIVERSITY Department of Electrical Engineering The Fu Foundation School of Engineering and Applied Science IN THE CITY OF NEW YORK Networking.

NSF Critical Infrastructures Workshop Nov , 2006 Kannan Ramchandran University of California at Berkeley Current research interests related to workshop.

Distributed Systems Principles and Paradigms

N. GSU Slide 1 Chapter 02 Cloud Computing Systems N. Xiong Georgia State University.

© 2007 Pearson Addison-Wesley. All rights reserved 0-1 Spring(2007) Instructor: Qiong Cheng © 2007 Pearson Addison-Wesley. All rights reserved.

Colin J. MacDougall.  Class of Systems and Applications  “Employ distributed resources to perform a critical function in a decentralized manner”  Distributed.

Grid – Path to Pervasive Adoption Mark Linesch Chairman, Global Grid Forum Hewlett Packard Corporation.

1 A 3Gbps/30K-Rule Virus-Detection Processor Embedded with Adaptively Dividable Dual-Port BiTCAM for Mobile Devices  People can easily get information.

The Globus Project: A Status Report Ian Foster Carl Kesselman

Grid-based Future Internet with Wireless sensor network By Mohammad Mehedi Hassan Student ID:

Comparison of Distributed Operating Systems. Systems Discussed ◦Plan 9 ◦AgentOS ◦Clouds ◦E1 ◦MOSIX.

N. GSU Slide 1 Chapter 05 Clustered Systems for Massive Parallelism N. Xiong Georgia State University.

DOE PI Meeting at BNL 1 Lightweight High-performance I/O for Data-intensive Computing Jun Wang Computer Architecture and Storage System Laboratory (CASS)

Service - Oriented Middleware for Distributed Data Mining on the Grid ，劉妘鑏 Antonio C., Domenico T., and Paolo T. Journal of Parallel and Distributed.

1- Distributed Systems Principles and Paradigms Operating Systems: Concurrent and Distributed Software Design Jean Bacon, Tim Harris 2003.

Grid Architecture William E. Johnston Lawrence Berkeley National Lab and NASA Ames Research Center (These slides are available at grid.lbl.gov/~wej/Grids)

Large Scale Parallel File System and Cluster Management ICT, CAS.

Major Disciplines in Computer Science Ken Nguyen Department of Information Technology Clayton State University.

©2012 LIESMARS Wuhan University Building Integrated Cyberinfrastructure for GIScience through Geospatial Service Web Jianya Gong, Tong Zhang, Huayi Wu.

1 CS145 Lecture 24 What’s next?. 2  What questions does Computer Science study?  Where is programming and Computer Science headed? –With special emphasis.

Spring 2016 Graduate Preview November 3, Spring 2016 Graduate Courses CS 532 – Web Science R 4:20-7:00pm Nelson CS 550 – Database Concepts ONLINE.

Data Center & Large-Scale Systems (updated) Luis Ceze, Bill Feiereisen, Krishna Kant, Richard Murphy, Onur Mutlu, Anand Sivasubramanian, Christos Kozyrakis.

Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED SYSTEMS.

Distributed Pattern Recognition System, Web-based by Nadeem Ahmed.

Simula Research Laboratory Lokaliteter & Forskning

Super Computing 2000 DOE SCIENCE ON THE GRID Storage Resource Management For the Earth Science Grid Scientific Data Management Research Group NERSC, LBNL.

3/12/2013Computer Engg, IIT(BHU)1 PARALLEL COMPUTERS- 3.

Euro-Par, HASTE: An Adaptive Middleware for Supporting Time-Critical Event Handling in Distributed Environments ICAC 2008 Conference June 2 nd,

Background Computer System Architectures Computer System Software.

INTRODUCTION TO GRID & CLOUD COMPUTING U. Jhashuva 1 Asst. Professor Dept. of CSE.

Tanenbaum & Van Steen, Distributed Systems: Principles and Paradigms, 2e, (c) 2007 Prentice-Hall, Inc. All rights reserved DISTRIBUTED SYSTEMS.

Chapter 1 Characterization of Distributed Systems

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING CLOUD COMPUTING

Clouds , Grids and Clusters

UKSG Introduction to Journals and E-Resources

Networking & Communications Prof. Javad Ghaderi

Grid Computing.

University of Technology

GRID COMPUTING PRESENTED BY : Richa Chaudhary.

Lectures 1 and 2 Network Centric Computing Administrative Issues.

Real-Time Systems Group

CLUSTER COMPUTING.

College of Engineering Ewha Womans University

Pervasive Computing Happening?

Introduction to Heterogeneous Parallel Computing

Defining the Grid Fabrizio Gagliardi EMEA Director Technical Computing

Presentation transcript:

The Grid and Pervasive Computing Research Cluster at CSE-UNL (aka, the Systems Group) Spanning Research Areas of : Collaborative Technologies, Physical Design, Distributed Computing and Storage, Embedded Systems, Sensors and Sensor Networks, Networking, Real-Time Systems, Security Researchers: Steve Goddard: Real-time systems, distributed systems, computer networks Hong Jiang: Computer architecture, parallel & distributed computing, distributed storage & parallel I/O Byrav Ramamurthy: Computer networks, telecommunications, optical networks & WDM, wireless & sensor networks, cyber security Sharad Seth: VLSI design & testing, online handwriting analysis, GIS Richard Sincovec: Scientific computing, parallel computing, mathematical software, OO methods Witawas Srisa-An: High performance Java systems, analysis of OO systems, dynamic memory management David Swanson: Cluster & high performance computing, parallel algorithms, molecular dynamics Jun Wang: High performance I/O architectures & storage systems, file systems, P2P systems, Internet server Lisong Xu: High-speed long-distance networks, optical networks, queuing theory, wireless sensor networks

Lisong Xu: Design and analysis of transport protocols for applications over the next generation of Internet Weather Simulation Teleconference Telemedicine Web TV

Jun Wang’s research activities High-performance local and cluster file systems Peer-to-Peer systems with the focus on high- efficiency key search and being resilient to dynamic activities Low-power high-performance storage array systems

CLK L1 L2 DTS(2) Double-Tree Scan VLSI Testing Imperfect chip manufacturing How to test to separate good from bad Complexity of defects and algorithms Sharad Seth: Current Research Online Handwriting Recognition New general paradigm for recognizing difficult-to-segment patterns No complex parameter estimation Renewed interest with tablets GIS Conflation: Combining information from different sources High-res sattelite image analysis of urban images for planning growth, etc.

Hong Jiang: Parallel & Distributed Computer Architectures – Cluster & Grid Computing MPP Supercomputers Cluster Supercomputers Middleware Support for –Heterogeneity (OS, HW, SW) –Scalability (Resource & Jobs) –Availability (performance & reliability Cluster dominates Top Distributed Storage & Parallel I/O Namespace & Metadata Management at the Peta-scale Virtual File Systems for Super-clusters Adaptive prefetching & Active seek