Conference paper Open Access

ASETS: A SDN Empowered Task Scheduling System for HPCaaS on the Cloud

Jamalian, Saba; Rajaei, Hassan

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  <identifier identifierType="URL"></identifier>
      <creatorName>Jamalian, Saba</creatorName>
      <creatorName>Rajaei, Hassan</creatorName>
    <title>ASETS: A SDN Empowered Task Scheduling System for HPCaaS on the Cloud</title>
    <date dateType="Issued">2015-03-01</date>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
    <alternateIdentifier alternateIdentifierType="url"></alternateIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1109/ic2e.2015.56</relatedIdentifier>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">With increasing demands for High Performance
Computing (HPC), new ideas and methods are emerged to utilize
computing resources more efficiently. Cloud Computing appears
to provide benefits such as resource pooling, broad network
access and cost efficiency for the HPC applications. However,
moving the HPC applications to the cloud can face several key
challenges, primarily, the virtualization overhead, multi-tenancy
and network latency. Software-Defined Networking (SDN) as an
emerging technology appears to pave the road and provide
dynamic manipulation of cloud networking such as topology,
routing, and bandwidth allocation. This paper presents a new
scheme called ASETS which targets dynamic configuration and
monitoring of cloud networking using SDN to improve the
performance of HPC applications and in particular task
scheduling for HPC as a service on the cloud (HPCaaS). Further,
SETSA, (SDN-Empowered Task Scheduler Algorithm) is
proposed as a novel task scheduling algorithm for the offered
ASETS architecture. SETSA monitors the network bandwidth to
take advantage of its changes when submitting tasks to the
virtual machines. Empirical analysis of the algorithm in different
case scenarios show that SETSA has significant potentials to
improve the performance of HPCaaS platforms by increasing the
bandwidth efficiency and decreasing task turnaround time. In
addition, SETSAW, (SETSA Window) is proposed as an
improvement of the SETSA algorithm.</description>
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