From iraicu at cs.iit.edu Mon Jan 17 16:02:49 2011 From: iraicu at cs.iit.edu (Ioan Raicu) Date: Mon, 17 Jan 2011 16:02:49 -0600 Subject: [Swift-user] Final CFP: ACM HPDC 2011, deadline January 24th, 2011 Message-ID: <4D34BC89.5070400@cs.iit.edu> Call For Papers The 20th International ACM Symposium on High-Performance Parallel and Distributed Computing http://www.hpdc.org/2011/ San Jose, California, June 8-11, 2011 The ACM International Symposium on High-Performance Parallel and Distributed Computing is the premier conference for presenting the latest research on the design, implementation, evaluation, and use of parallel and distributed systems for high end computing. The 20th installment of HPDC will take place in San Jose, California, in the heart of Silicon Valley. This year, HPDC is affiliated with the ACM Federated Computing Research Conference, consisting of fifteen leading ACM conferences all in one week. HPDC will be held on June 9-11 (Thursday through Saturday) with affiliated workshops taking place on June 8th (Wednesday). Submissions are welcomed on all forms of high performance parallel and distributed computing, including but not limited to clusters, clouds, grids, utility computing, data-intensive computing, multicore and parallel computing. All papers will be reviewed by a distinguished program committee, with a strong preference for rigorous results obtained in operational parallel and distributed systems. All papers will be evaluated for correctness, originality, potential impact, quality of presentation, and interest and relevance to the conference. In addition to traditional technical papers, we also invite experience papers. Such papers should present operational details of a production high end system or application, and draw out conclusions gained from operating the system or application. The evaluation of experience papers will place a greater weight on the real-world impact of the system and the value of conclusions to future system designs. Topics of interest include, but are not limited to: ------------------------------------------------------------------------------- # Applications of parallel and distributed computing. # Systems, networks, and architectures for high end computing. # Parallel and multicore issues and opportunities. # Virtualization of machines, networks, and storage. # Programming languages and environments. # I/O, file systems, and data management. # Data intensive computing. # Resource management, scheduling, and load-balancing. # Performance modeling, simulation, and prediction. # Fault tolerance, reliability and availability. # Security, configuration, policy, and management issues. # Models and use cases for utility, grid, and cloud computing. Authors are invited to submit technical papers of at most 12 pages in PDF format, including all figures and references. Papers should be formatted in the ACM Proceedings Style and submitted via the conference web site. Accepted papers will appear in the conference proceedings, and will be incorporated into the ACM Digital Library. Papers must be self-contained and provide the technical substance required for the program committee to evaluate the paper's contribution. Papers should thoughtfully address all related work, particularly work presented at previous HPDC events. Submitted papers must be original work that has not appeared in and is not under consideration for another conference or a journal. See the ACM Prior Publication Policy for more details. Workshops ------------------------------------------------------------------------------- Seven workshops affiliated with HPDC will be held on Wednesday, June 8th. For more information, see the Workshops page at http://www.hpdc.org/2011/workshops.php. # ScienceCloud: 2nd Workshop on Scientific Cloud Computing # MapReduce: The Second International Workshop on MapReduce and its Applications # VTDC: Virtual Technologies in Distributed Computing # ECMLS: The Second International Emerging Computational Methods for the Life Sciences Workshop # LSAP: Workshop on Large-Scale System and Application Performance # DIDC: The Fourth International Workshop on Data-Intensive Distributed Computing # 3DAPAS: Workshop on Dynamic Distributed Data-Intensive Applications, Programming Abstractions, and Systems Important Dates ------------------------------------------------------------------------------- Technical Papers Due: 17 January 2011 PAPER DEADLINE EXTENDED: 24 January 2011 at 12:01 PM (NOON) Eastern Time Author Notifications: 28 February 2011 Final Papers Due: 24 March 2011 Conference Dates: 8-11 June 2011 Organization ------------------------------------------------------------------------------- General Chair Barney Maccabe, Oak Ridge National Laboratory Program Chair Douglas Thain, University of Notre Dame Workshops Chair Mike Lewis, Binghamton University Local Arrangements Chair Nick Wright, Lawrence Berkeley National Laboratory Student Activities Chairs Huaiming Song, Illinois Institute of Technology Hui Jin, Illinois Institute of Technology Publicity Chairs Alexandru Iosup, Delft University John Lange, University of Pittsburgh Ioan Raicu, Illinois Institute of Technology Yong Zhao, Microsoft Program Committee Kento Aida, National Institute of Informatics Henri Bal, Vrije Universiteit Roger Barga, Microsoft Jim Basney, NCSA John Bent, Los Alamos National Laboratory Ron Brightwell, Sandia National Laboratories Shawn Brown, Pittsburgh Supercomputer Center Claris Castillo, IBM Andrew A. Chien, UC San Diego and SDSC Ewa Deelman, USC Information Sciences Institute Peter Dinda, Northwestern University Scott Emrich, University of Notre Dame Dick Epema, Delft University of Technology Gilles Fedak, INRIA Renato Figuierdo, University of Florida Ian Foster, University of Chicago and Argonne National Laboratory Gabriele Garzoglio, Fermi National Accelerator Laboratory Rong Ge, Marquette University Sebastien Goasguen, Clemson University Kartik Gopalan, Binghamton University Dean Hildebrand, IBM Almaden Adriana Iamnitchi, University of South Florida Alexandru Iosup, Delft University of Technology Keith Jackson, Lawrence Berkeley Shantenu Jha, Louisiana State University Daniel S. Katz, University of Chicago and Argonne National Laboratory Thilo Kielmann, Vrije Universiteit Charles Killian, Purdue University Tevfik Kosar, Louisiana State University John Lange, University of Pittsburgh Mike Lewis, Binghamton University Barney Maccabe, Oak Ridge National Laboratory Grzegorz Malewicz, Google Satoshi Matsuoka, Tokyo Institute of Technology Jarek Nabrzyski, University of Notre Dame Manish Parashar, Rutgers University Beth Plale, Indiana University Ioan Raicu, Illinois Institute of Technology Philip Rhodes, University of Mississippi Matei Ripeanu, University of British Columbia Philip Roth, Oak Ridge National Laboratory Karsten Schwan, Georgia Tech Martin Swany, University of Delaware Jon Weissman, University of Minnesota Dongyan Xu, Purdue University Ken Yocum, UC San Diego Yong Zhao, Microsoft Steering Committee Henri Bal, Vrije Universiteit Andrew A. Chien, UC San Diego and SDSC Peter Dinda, Northwestern University Ian Foster, Argonne National Laboratory and University of Chicago Dennis Gannon, Microsoft Salim Hariri, University of Arizona Dieter Kranzlmueller, Ludwig-Maximilians-Univ. Muenchen Satoshi Matsuoka, Tokyo Institute of Technology Manish Parashar, Rutgers University Karsten Schwan, Georgia Tech Jon Weissman, University of Minnesota (Chair) -- ================================================================= Ioan Raicu, Ph.D. Assistant Professor, Illinois Institute of Technology (IIT) Guest Research Faculty, Argonne National Laboratory (ANL) ================================================================= Data-Intensive Distributed Systems Laboratory, CS/IIT Distributed Systems Laboratory, MCS/ANL ================================================================= Cel: 1-847-722-0876 Office: 1-312-567-5704 Email:iraicu at cs.iit.edu Web:http://www.cs.iit.edu/~iraicu/ ================================================================= ================================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From iraicu at cs.iit.edu Mon Jan 17 16:22:14 2011 From: iraicu at cs.iit.edu (Ioan Raicu) Date: Mon, 17 Jan 2011 16:22:14 -0600 Subject: [Swift-user] CFP: ACM ScienceCloud 2011, co-located with HPDC, deadline January 25th (abstract) and February 1st (paper) Message-ID: <4D34C116.2080606@cs.iit.edu> --------------------------------------------------------------------------------- * ** Call for Papers *** 2nd Workshop on Scientific Cloud Computing (ScienceCloud) 2011 In conjunction with ACM HPDC 2011, June 8th, 2011, San Jose, California http://www.cs.iit.edu/~iraicu/ScienceCloud2011/ --------------------------------------------------------------------------------- The advent of computation can be compared, in terms of the breadth and depth of its impact on research and scholarship, to the invention of writing and the development of modern mathematics. Scientific Computing has already begun to change how science is done, enabling scientific breakthroughs through new kinds of experiments that would have been impossible only a decade ago. Today's science is generating datasets that are increasing exponentially in both complexity and volume, making their analysis, archival, and sharing one of the grand challenges of the 21st century. The support for data intensive computing is critical to advancing modern science as storage systems have experienced an increasing gap between their capacity and bandwidth by more than 10-fold over the last decade. There is an emerging need for advanced techniques to manipulate, visualize and interpret large datasets. Scientific computing involves a broad range of technologies, from high-performance computing (HPC) which is heavily focused on compute-intensive applications, high-throughput computing (HTC) which focuses on using many computing resources over long periods of time to accomplish its computational tasks, many-task computing (MTC) which aims to bridge the gap between HPC and HTC by focusing on using many resources over short periods of time, to data-intensive computing which is heavily focused on data distribution and harnessing data locality by scheduling of computations close to the data. The 2nd workshop on Scientific Cloud Computing (ScienceCloud) will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running these kinds of scientific computing workloads on Cloud Computing infrastructures. The ScienceCloud workshop will focus on the use of cloud-based technologies to meet new compute intensive and data intensive scientific challenges that are not well served by the current supercomputers, grids or commercial clouds. What architectural changes to the current cloud frameworks (hardware, operating systems, networking and/or programming models) are needed to support science? Dynamic information derived from remote instruments and coupled simulation and sensor ensembles are both important new science pathways and tremendous challenges for current HPC/HTC/MTC technologies. How can cloud technologies enable these new scientific approaches? How are scientists using clouds? Are there scientific HPC/HTC/MTC workloads that are suitable candidates to take advantage of emerging cloud computing resources with high efficiency? What benefits exist by adopting the cloud model, over clusters, grids, or supercomputers? What factors are limiting clouds use or would make them more usable/efficient? This workshop encourages interaction and cross-pollination between those developing applications, algorithms, software, hardware and networking, emphasizing scientific computing for such cloud platforms. We believe the workshop will be an excellent place to help the community define the current state, determine future goals, and define architectures and services for future science clouds. For more information about the workshop, please see http://www.cs.iit.edu/~iraicu/ScienceCloud2011/. To see last year's workshop program agenda, and accepted papers and presentations, please see http://dsl.cs.uchicago.edu/ScienceCloud2010/. TOPICS --------------------------------------------------------------------------------- # scientific computing applications * case studies on public, private and open source cloud computing * case studies comparing between cloud computing and cluster, grids, and/or supercomputers * performance evaluation # performance evaluation * real systems * cloud computing benchmarks * reliability of large systems # programming models and tools * map-reduce and its generalizations * many-task computing middleware and applications * integrating parallel programming frameworks with storage clouds * message passing interface (MPI) * service-oriented science applications # storage cloud architectures and implementations * distributed file systems * content distribution systems for large data * data caching frameworks and techniques * data management within and across data centers * data streaming applications * data-aware scheduling * data-intensive computing applications * eventual-consistency storage usage and management # compute resource management * dynamic resource provisioning * scheduling * techniques to manage many-core resources and/or GPUs # high-performance computing * high-performance I/O systems * interconnect and network interface architectures for HPC * multi-gigabit wide-area networking * scientific computing tradeoffs between clusters/grids/supercomputers and clouds * parallel file systems in dynamic environments # models, frameworks and systems for cloud security * implementation of access control and scalable isolation IMPORTANT DATES --------------------------------------------------------------------------------- Abstract submission: January 25th, 2011 Paper submission: February 1st, 2011 Acceptance notification: February 28th, 2011 Final papers due: March 24th, 2011 Workshop date: June 8th, 2011 PAPER SUBMISSION --------------------------------------------------------------------------------- Authors are invited to submit papers with unpublished, original work of not more than 10 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages (including all text, figures, and references), as per ACM 8.5 x 11 manuscript guidelines (http://www.acm.org/publications/instructions_for_proceedings_volumes); document templates can be found at http://www.acm.org/sigs/publications/proceedings-templates. A 250 word abstract (PDF format) must be submitted online at https://cmt.research.microsoft.com/ScienceCloud2011/ before the deadline of January 25th, 2011 at 11:59PM PST; the final 5/10 page papers in PDF format will be due on February 1st, 2011 at 11:59PM PST. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library. Notifications of the paper decisions will be sent out by February 28th, 2011. Selected excellent work will be invited to submit extended versions of the workshop paper to a special issue journal. Submission implies the willingness of at least one of the authors to register and present the paper. For more information, please visit http://www.cs.iit.edu/~iraicu/ScienceCloud2011/. WORKSHOP GENERAL CHAIRS --------------------------------------------------------------------------------- * Ioan Raicu, Illinois Institute of Technology * Pete Beckman, University of Chicago& Argonne National Laboratory * Ian Foster, University of Chicago& Argonne National Laboratory PROGRAM CHAIR --------------------------------------------------------------------------------- Yogesh Simmhan, University of Southern California STEERING COMMITTEE --------------------------------------------------------------------------------- * Dennis Gannon, Microsoft Research, USA * Robert Grossman, University of Chicago, USA * Kate Keahey, Nimbus, University of Chicago, Argonne National Laboratory, USA * Ed Lazowska, University of Washington& Computing Community Consortium, USA * Ignacio Llorente, Open Nebula, Universidad Complutense de Madrid, Spain * David O'Hallaron, Carnegie Mellon University& Intel Labs, USA * Jack Dongarra, University of Tennessee, USA * Geoffrey Fox, Indiana University, USA PROGRAM COMMITTEE --------------------------------------------------------------------------------- * David Abramson, Monash University, Australia * Remzi Arpaci-Dusseau, University of Wisconsin, Madison * Roger Barga, Microsoft Research * Jeff Broughton, Lawrence Berkeley National Lab. * Rajkumar Buyya, University of Melbourne, Australia * Roy Campbell, Univ. of Illinois at Urbana Champaign * Henri Casanova, University of Hawaii at Manoa * Jeff Chase, Duke University * Alok Choudhary, Northwestern University * Peter Dinda, Northwestern University * Bill Howe, University of Washington * Alexandru Iosup, Delft University of Technology, Netherlands * Shantenu Jha, Louisiana State University * Tevfik Kosar, Louisiana State University * Shiyong Lu, Wayne State University * Joe Mambretti, Northwestern University * David Martin, Argonne National Laboratory * Gabriel Mateescu, University of Illinois at Urbana Champaign * Paolo Missier, University of Manchester, UK * Ruben Montero, Univ. Complutense de Madrid, Spain * Reagan Moore, Univ. of North Carolina, Chappel Hill * Jose Moreira, IBM Research * Jim Myers, NCSA * Viktor Prasanna, University of Southern California * Lavanya Ramakrishnan, Lawrence Berkeley Nat. Lab. * Matei Ripeanu, University of British Columbia, Canada * Josh Simons, VMWare * Marc Snir, University of Illinois at Urbana Champaign * Ion Stoica, University of California Berkeley * Yong Zhao, University of Electronic and Science Technology of China * Daniel Zinn, University of California at Davis -- ================================================================= Ioan Raicu, Ph.D. Assistant Professor, Illinois Institute of Technology (IIT) Guest Research Faculty, Argonne National Laboratory (ANL) ================================================================= Data-Intensive Distributed Systems Laboratory, CS/IIT Distributed Systems Laboratory, MCS/ANL ================================================================= Cel: 1-847-722-0876 Office: 1-312-567-5704 Email:iraicu at cs.iit.edu Web:http://www.cs.iit.edu/~iraicu/ ================================================================= ================================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From iraicu at cs.iit.edu Mon Jan 17 16:50:51 2011 From: iraicu at cs.iit.edu (Ioan Raicu) Date: Mon, 17 Jan 2011 16:50:51 -0600 Subject: [Swift-user] CFP: Workshop on Large-scale System and Application Performance (LSAP) 2011, co-located with ACM HPDC 2011 Message-ID: <4D34C7CB.1040605@cs.iit.edu> Call for Papers --------------- Workshop on Large-scale System and Application Performance (LSAP2011) in conjunction with the 20-th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC-20) San Jose, USA, June 8, 2011http://www.lsap2011.org MISSION Over the last decade, computer systems and applications in everyday use have grown to unprecedented scales. Large clusters serving millions of search requests per day, grids executing large workflows and parameter sweeps consisting of thousands of jobs, and supercomputers running complex e-science applications, have now hundreds of thousands of processing cores, and clouds are quickly emerging as a large-scale computing infrastructure. In addition, peer-to-peer systems and centralized video distribution systems that dominate the internet, online social networks, and complicated internet applications such as massive multiplayer online games are used by millions of people every day. In view of this tremendous growth, understanding the performance of large-scale computer systems and applications has become vital to institutional, commercial, and private interests. This workshop solicits original papers on performance evaluation methods, tools, and case studies *explicitly focusing on the challenges of large scale*, such as decentralization, predictable performance, reliability, and scalability. It aims to bring together system designers and researchers involved with the modeling and performance evaluation of large-scale systems and applications. Topics of interest include but are not limited to: - Performance aspects of large-scale systems - Performance aspects of large-scale applications - Performance-oriented properties such as availability, reliability, and scalability - Workload characterization and modeling - Mathematical modeling and analysis methods - Simulation methods and tools - Measurement methods and tools - Performance case studies - Exascale and beyond SUBMISSION GUIDELINES Submitted papers should be limited to 8 pages (including tables, images, and references) and should be formatted according to the ACM SIG Style. Please use the Linklings submission site to submit your paper (see link below); only pdf format is accepted. All papers will receive at least three reviews. Submission implies the willingness of at least one of the authors to register or the workshop and present the paper. The authors of the best paper in the workshop will receive a best-paper award. SUBMISSION SITE http://www.easychair.org/conferences/?conf=lsap2011 PROCEEDINGS Accepted workshop papers will appear in the HPDC conference proceedings and will be incorporated in the ACM Digital Library. IMPORTANT DATES Submission deadline: January 31, 2011 (11:59 PM EST) Author notification: February 28, 2011 Final papers due: March 24, 2011 Workshop: June 8, 2011 WORKSHOP WEBSITE www.lsap2011.org PROGRAM CO-CHAIRS Martin Arlitt, HP Labs, USA, and University of Calgary, CA Dick Epema, Delft University of Technology, NL, d.h.j.epema at tudelft.nl Jose Moreira, IBM T.J. Watson Research Lab, USA, jmoreira at us.ibm.com PROGRAM COMMITTEE Peter Buchholz, University of Dortmund, Germany Franck Cappello, INRIA, France/University of Illinois at Urbana-Champaign, USA Niklas Carlsson, University of Calgary, CA Pawel Garbacki, Google, USA Alexandru Iosup, Delft University of Technology, NL Evgenia Smirni, College of William and Mary, USA Swami Sivasubramanian, Amazon, USA Allen Snavely, University of California, San Diego, USA Denis Trystram, Laboratoire d'Informatique de Grenoble, FR CONTACT For further information please contact Dick Epema atd.h.j.epema at tudelft.nl. -- ================================================================= Ioan Raicu, Ph.D. Assistant Professor, Illinois Institute of Technology (IIT) Guest Research Faculty, Argonne National Laboratory (ANL) ================================================================= Data-Intensive Distributed Systems Laboratory, CS/IIT Distributed Systems Laboratory, MCS/ANL ================================================================= Cel: 1-847-722-0876 Office: 1-312-567-5704 Email:iraicu at cs.iit.edu Web:http://www.cs.iit.edu/~iraicu/ ================================================================= ================================================================= -------------- next part -------------- A non-text attachment was scrubbed... Name: LSAP2011-CFP.pdf Type: application/pdf Size: 64672 bytes Desc: not available URL: From hategan at mcs.anl.gov Mon Jan 24 12:46:13 2011 From: hategan at mcs.anl.gov (Mihael Hategan) Date: Mon, 24 Jan 2011 10:46:13 -0800 Subject: [Swift-user] pbs ppn count and stuff Message-ID: <1295894773.31774.5.camel@blabla2.none> So I think some of the problems with ppn are as follows: 1. count in cog means number of processes. count in PBS means number of nodes. 2. when the number of nodes requested was 1 but ppn > 1, the multiple job scheme was not enabled so, despite having multiple lines in PBS_NODEFILE, only one process would get started. If count was > 1 then PBS would understand that count*ppn lines should be in PBS_NODEFILE, which would result in that number of processes be started. In other words there was no way to tell PBS to start 4 jobs on only one node. So: - I changed this to be consistent with 1. Count means number of processes to be started. This imposes the restriction that count % ppn = 0. If not, the pbs provider will throw an exception. - I also added mppnppn if USE_MPPWIDTH is enabled. This is in trunk. Mihael From hategan at mcs.anl.gov Mon Jan 24 12:51:35 2011 From: hategan at mcs.anl.gov (Mihael Hategan) Date: Mon, 24 Jan 2011 10:51:35 -0800 Subject: [Swift-user] pbs ppn count and stuff In-Reply-To: <1295894773.31774.5.camel@blabla2.none> References: <1295894773.31774.5.camel@blabla2.none> Message-ID: <1295895095.31774.6.camel@blabla2.none> Sorry. This was meant for swift-devel. Mihael On Mon, 2011-01-24 at 10:46 -0800, Mihael Hategan wrote: > So I think some of the problems with ppn are as follows: > 1. count in cog means number of processes. count in PBS means number of > nodes. > 2. when the number of nodes requested was 1 but ppn > 1, the multiple > job scheme was not enabled so, despite having multiple lines in > PBS_NODEFILE, only one process would get started. If count was > 1 then > PBS would understand that count*ppn lines should be in PBS_NODEFILE, > which would result in that number of processes be started. In other > words there was no way to tell PBS to start 4 jobs on only one node. > > So: > > - I changed this to be consistent with 1. Count means number of > processes to be started. This imposes the restriction that count % ppn = > 0. If not, the pbs provider will throw an exception. > - I also added mppnppn if USE_MPPWIDTH is enabled. > > This is in trunk. > > Mihael > > _______________________________________________ > Swift-user mailing list > Swift-user at ci.uchicago.edu > http://mail.ci.uchicago.edu/mailman/listinfo/swift-user From iraicu at cs.iit.edu Fri Jan 28 13:42:28 2011 From: iraicu at cs.iit.edu (Ioan Raicu) Date: Fri, 28 Jan 2011 13:42:28 -0600 Subject: [Swift-user] CFP: IEEE 2011 Fifth International Workshop on Scientific Workflows (SWF 2011) Message-ID: <4D431C24.10408@cs.iit.edu> CALL FOR PAPERS IEEE 2011 Fifth International Workshop on Scientific Workflows (SWF 2011) WashingtonDC, USA, one day between July 5-10, 2011, inconjunction with ICWS 2011 , SCC 2011 , SERVICES , and CLOUD Description Scientific workflows have become an increasingly popular paradigm for scientists to formalize and structure complex scientific processes to enable and accelerate many significant scientific discoveries. A scientific workflow is a formal specification of a scientific process, which represents, streamlines, and automates the analytical and computational steps that a scientist needs to go through from dataset selection and integration, computation and analysis, to final data product presentation and visualization. A scientific workflow management system (SWFMS) is a system that supports the specification, modification, execution, failure handling, and monitoring of a scientific workflow using the workflow logic to control the order of executing workflow tasks. The importance of scientific workflows has been recognized by NSF since 2006 and was reemphasized recently in an science article titled "Beyond the Data Deluge" (Science, Vol. 323. no. 5919, pp. 1297 -- 1298, 2009), which concluded, "In the future, the rapidity with which any given discipline advances is likely to depend on how well the community acquires the necessary expertise in database, workflow management, visualization, and cloud computing technologies." An emerging trend in scientific workflow management research and systems is the convergence of concepts, techniques, and tools from both scientific workflow and enterprise workflow areas. Although scientific workflow systems and enterprise workflow areas have evolved in parallel, each has adopted and incorporated the best practices and ideas from the other area. One of the main areas of interest is this emerging convergence. A concrete example is the leverage of enterprise workflow tools and systems in solving scientific/engineering workflow problems, particularly in data centers and cloud computing environments. In response to this trend, this year, we like to expand the scope of SWF to include topics for enterprise workflows as well to foster the interaction between these two areas. The First IEEE International Workshop on Scientific Workflows (SWF 2007) was launched at Salt Lake city, Utah, as part of the First IEEE World Congress on Services (SERVICES 2007), in conjunction with IEEE SCC/ICWS 2007, attracting around 20 attendants including 5 presenters and a dozen of submissions. SWF 2008 was held in Honolulu, Hawaii, in conjunction with IEEE SCC, with around 25 attendants including 9 presenters (3 of them were invited speakers) and a dozen of submissions. SWF 2009 was held in Los Angeles, CA, in conjunction with IEEE ICWS, with around 30 attendants including 20 presenters (10 for regular papers, and 10 for short papers). SWF 2009 also enjoyed the event of the launch of the first IEEE International Conference on Cloud Computing (CLOUD 2009). SWF 2010 was held in Miami, Florida, with around 25 attendants (9 papers), in conjunction with IEEE CLOUD/ICWS/SCC. Authors are invited to submit regular papers (8 pages) and short papers (4 pages) that show original unpublished research results in all areas of scientific workflows and enterprise workflows. Topics of interest are listed below; however, submissions on all aspects of scientific workflows and enterprise workflows are welcome. Accepted papers will be included in the proceedings of IEEE SERVICES 2011, which will be published by IEEE Computer Society Press. List of topics ?Scientific workflow provenance management and analytics ?Scientific workflow data, metadata, service, and task management ?Scientific workflow architectures, models, languages, systems, and algorithms ?Scientific workflow monitoring, debugging, exception handling, and fault tolerance ?Streaming data processing in scientific workflows ?Pipelined, data, workflow, and task parallelism in scientific workflows ?Cloud, Service, Grid, or hybrid scientific workflows ?Data, metadata, compute, user-interaction, or visualization-intensive scientific workflows ?Semantic techniques for scientific workflows ?Scientific workflow composition ?Security issues in scientific workflows ?Data integration and service integration in scientific workflows ?Scientific workflow mapping, optimization, and scheduling ?Scientific workflow modeling, simulation, analysis, and verification ?Scalability, reliability, extensibility, agility, and interoperability ?Scientific workflow applications and case studies ?Enterprise service workflow management and enterprise services computing ?Enterprise workflow cooperation and collaboration Important dates ?Paper SubmissionFebruary 21, 2011 ?Decision Notification (Electronic)March 21, 2011 ?Camera-Ready Submission & Pre-registrationApril 8, 2011 Paper submission Authors are invited to submit full papers (about 8 pages) or short papers (about 4 pages) as per IEEE 8.5 x 11 manuscript guidelines (http://www.computer.org/cspress/instruct.htm). All papers should be in PDF and submitted via the SWF Submission/Review system . First time users need to register with the system first. All the accepted papers by the workshops will be included in the Proceedings of the Seventh IEEE 2011 World Congress on Services (SERVICES 2011), which will be published by IEEE Computer Society. Workshop chairs ?Shiyong Lu , Wayne State University, USA, Email: shiyong at wayne.edu ?Calton Pu , Georgia Tech, USA, Email: calton.pu at cc.gatech.edu Publicity chairs ?Ilkay Altintas, San Diego Supercomputer Center, USA ?Yong Zhao, University of Electronic Science and Technology of China, PR China ?Paolo Missier, University of Manchester, UK Publication chair ?Xubo Fei,Wayne State University, USA, Email: xubo at wayne.edu Program committee ?Jamal Alhiyafi,University of Dammam, Saudi Arabia ?Ilkay Altintas,San Diego Supercomputer Center, U.S.A. ?Roger Barga,Microsoft Research, U.S.A. ?Adam Barker, University of St Andrews, U.K. ?Adam Belloum, University of Amsterdam, the Netherlands ?Shawn Bowers, Gonzaga University, U.S.A. ?Bin Cao, Teradata Corporation, U.S.A. ?Artem Chebotko, University of Texas at Pan American, U.S.A. ?Jinjun Chen, Swinburne University of Technology, Australia ?Susan Davidson, University of Pennsylvania, U.S.A. ?Thomas Fahringer, University of Innsbruck, Austria ?Hasan Jamil, Wayne State University, U.S.A. ?Carole Goble, University of Manchester, U.K. ?Ian Gorton, Pacific Northwest National Laboratory, U.S.A. ?Paul Groth, University of Amsterdam, the Netherlands ?Zo? Lacroix, Arizona State University, U.S.A. ?Cui Lin, Valdosta State University, U.S.A. ?Marta Mattoso, Federal University of Rio de Janeiro, Brazil ?Paolo Missier, University of Manchester, U.K. ?Ioan Raicu, Illinois Institute of Technology, U.S.A. ?Yogesh Simmhan, University of Southern California, U.S.A. ?Wei Tan, IBM T. J. Watson Research Center, U.S.A. ?Ian Taylor, Cardiff University, U.K. ?Liqiang Wang,University of Wyoming, U.S.A. ?Jianwu Wang, San Diego Super Computer Center, U.S.A. ?Ping Yang,Binghamton University, U.S.A. ?Ustun Yildiz, UC Davis, U.S.A. ?Jia Zhang, Northern Illinois University, U.S.A. ?Yong Zhao, University of Electronic Science and Technology of China, P.R. China ?Zhiming Zhao, University of Amsterdam, the Netherlands ** -- ================================================================= Ioan Raicu, Ph.D. Assistant Professor, Illinois Institute of Technology (IIT) Guest Research Faculty, Argonne National Laboratory (ANL) ================================================================= Data-Intensive Distributed Systems Laboratory, CS/IIT Distributed Systems Laboratory, MCS/ANL ================================================================= Cel: 1-847-722-0876 Office: 1-312-567-5704 Email: iraicu at cs.iit.edu Web: http://www.cs.iit.edu/~iraicu/ Web: http://datasys.cs.iit.edu/ ================================================================= ================================================================= -------------- next part -------------- An HTML attachment was scrubbed... URL: From aespinosa at cs.uchicago.edu Mon Jan 31 15:23:14 2011 From: aespinosa at cs.uchicago.edu (Allan Espinosa) Date: Mon, 31 Jan 2011 15:23:14 -0600 Subject: [Swift-user] 'else if' on control structures Message-ID: Section 2.7.3.2. of the userguide says that the if statement only supports "if" and 'else' in the control structure. Does this mean I cannot do 'else if's? if (expr1) { statement1; } else if (expr2) { statement2; } ... } else { statement_n; } I could put another set of if control statements in side the upper else clause, but will result in a ridiculously indented code afterward :) -Allan -- Allan M. Espinosa PhD student, Computer Science University of Chicago