paper.md

title	tags	authors	date	bibliography
Application Skeleton: Generating Synthetic Applications for Infrastructure Research	computational science data science application modeling system modeling performance modeling parallel and distributed systems	name orcid affiliation Zhao Zhang 0000-0001-5921-0035 AMPLab and BIDS, University of California, Berkeley name orcid affiliation Daniel S. Katz 0000-0001-5934-7525 National Center for Supercomputing Applications, University of Illinois Urbana-Champaign name orcid affiliation Andre Merzky 0000-0002-7228-4327 RADICAL Laboratory, Rutgers University name orcid affiliation Matteo Turilli 0000-0003-0527-1435 RADICAL Laboratory, Rutgers University name orcid affiliation Shantenu Jha 0000-0002-5040-026X RADICAL Laboratory, Rutgers University name orcid affiliation Yadu Nand 0000-0002-9162-6003 Computation Institute, University of Chicago	5 May 2016	paper.bib

Summary

Application Skeleton is a simple and powerful tool to build simplified synthetic science and engineering applications (for example, modeling and simulation, data analysis) with runtime and I/O close to that of the real applications. It is intended for applied computer scientists who need to use science and engineering applications to verify the effectiveness of new systems designed to efficiently run such applications, so that they can bypass obstacles that they often encounter when accessing and building real science and engineering applications. Using the applications generated by Application Skeleton guarantees that the CS systems' effectiveness on synthetic applications will apply to the real applications.

Application Skeleton can generate bag-of-task, (iterative) map-reduce, and (iterative) multistage workflow applications. These applications are represented as a set of tasks, a set of input files, and a set of dependencies. These applications can be generally considered many-task applications, and once created, can be run on single-core, single-node, multi-core, or multi-node (distributed or parallel) computers, depending on what workflow system is used to run them. The generated applications are compatible with workflow system such as Swift [@SWIFT07, @SWIFT09, @SWIFT11] and Pegasus [@PEGASUS04, @PEGASUS05], as well as the ubiquitous UNIX shell. The application can also be created as a generic JSON object that can be used by other systems such as the AIMES [@AIMES15] middleware.

References