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HTCaaS: Leveraging Distributed Supercomputing Infrastructures for Large-Scale Scientific Computing

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Bibliographic Details
Title: HTCaaS: Leveraging Distributed Supercomputing Infrastructures for Large-Scale Scientific Computing
Authors: Jik-soo Kim, Seungwoo Rho, Seoyoung Kim, Sangwan Kim, Seokkyoo Kim, Soonwook Hwang
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://datasys.cs.iit.edu/events/MTAGS13/p02.pdf.
Collection: CiteSeerX
Subject Terms: Many-Task Computing, HT- CaaS, Multi-level Scheduling, Dynamic Fairnes
Description: In this paper, we present the HTCaaS (High-Throughput Computing as a Service) which aims to provide researchers with ease of exploring large-scale and complex scientific prob-lems by leveraging national supercomputing infrastructures in Korea. HTCaaS allows users to efficiently submit a large number of jobs at once by effectively managing and exploit-ing of all available computing resources. HTCaaS exploits a synthesis of well known techniques and its own intelligent scheduling algorithm to effectively support multiple users independently submitting large numbers of tasks to a col-lection of geographically distributed computing resources. Throughout our micro-benchmark and protein docking ex-periments, we show that our HTCaaS can provide a single efficient job management system that can support the most challenging scientific applications.
Document Type: text
File Description: application/pdf
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9632; http://datasys.cs.iit.edu/events/MTAGS13/p02.pdf
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.9632
http://datasys.cs.iit.edu/events/MTAGS13/p02.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.F79B27B8
Database: BASE
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