Ivan Rodero, Julita Corbaln, Rosa M' Badia, Jess Labarta - PowerPoint PPT Presentation

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Ivan Rodero, Julita Corbaln, Rosa M' Badia, Jess Labarta

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Resource Broker oriented to HPC research (eNANOS project) ... Conclusion: to develop a Resource Broker from the scratch to fit our specific requirements ... – PowerPoint PPT presentation

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Title: Ivan Rodero, Julita Corbaln, Rosa M' Badia, Jess Labarta


1
eNANOS Grid Resource BrokerEuropean Grid
Conference, February 14 2005
  • Ivan Rodero, Julita Corbalán, Rosa M. Badia,
    Jesús Labarta
  • CEPBA-IBM Research Institute
  • Technical University of Catalonia (UPC), Spain
  • irodero, juli, rosab, jesus_at_ac.upc.edu

2
Motivations and requirements
  • Resource Broker oriented to HPC research (eNANOS
    project)
  • On top of Globus Toolkit 3 (based on WS)
  • Dynamic policy management
  • Extensible and modular design
  • Easy and useful interfaces (API and
    command-line)
  • Data persistence
  • Conclusion to develop a Resource Broker from
    the scratch to fit our specific requirements

3
Agenda
  • System architecture
  • Components and behavior
  • Main functionalities
  • User criteria and policy management
  • Functionality evaluation and conclusions
  • Future work

4
System Architecture
5
Components and behavior
Execution environment
finishes
jobi
resource 2
resource server n
resource server 1
notifies
submits
Broker (Grid Service)
discovers
Job Submission
Resource Discovery
User environment
pending jobs
jobi
jobi
res2
running
idle
finished
enqueues
schedules
selects
API
submit
Resource Selection
job ID
Resource Monitoring
Client
Job Monitoring
job ID 5_at_1092731973163
6
Main functionalities
  • Job Submission
  • Job Monitoring
  • Resource Discovery
  • Resource Selection
  • Resource Monitoring

7
Job Submission
Client (user, application, portal)
  • RSL and user criteria are required
  • Jobs are scheduled periodically depending of
    the Broker policy
  • Examples FIFO, REALTIME, EDF
  • Uses GRAM to submit and manage both GT2 and
    GT3 jobs

RSL user criteria
API
BROKER
RESOURCE
8
Job Monitoring
  • Controls the job status through
  • GRAM notifications (callbacks)
  • An additional thread (forces the job status
    update)
  • Implements the persistency of jobs by a thread
    that periodically updates the recovery file
    (contains queued jobs)
  • In coordination with the resource monitoring
    module

9
Resource Discovery
  • Local information about Grid resources
  • This information is updated periodically by
    a thread
  • Supports both GT2 and GT3 resources
  • GLUE specification
  • Resources obtained from resource servers (GGRIS)
  • GIIS and GRIS from GT2
  • Index Service from GT3

10
Resource Selection
  • Filters resources depending of the RSL and
    requirements
  • Returns an ordered set of candidates resources
  • Policies can be changed dynamically by the user

Changes policy
User Criteria
RSL
Resources
RESOURCE SELECTION POLICY
RESOURCE SELECTION POLICY
Result
Resource Discovery
Resource 2
Resource 4
11
User Criteria
  • XML file used by the resource selection module
    to choose and order resources
  • List of criteria (attributes)
  • Examples RAM size, clock speed, OS, total
    CPUs, etc.
  • Hard and Soft attributes (requirements and
  • recommendations, respectively)
  • Priority (if it is a soft attribute)
  • Supports operators
  • Example
  • ltAttibute NameClockSpeed TypeINTEGER
    Operatorgt Value500 ImportanceSOFT
    Priority7/gt

12
User Criteria - GUI
13
Resource Monitoring
  • A thread controls periodically changes in the
    available resources in the Grid
  • When a machine fails, all running jobs are
    rescheduled through another higher priority
    queue
  • The Broker implements the persistency of
    resources servers with a XML file

14
Policy management
n
m resources
1
1
m
n jobs
  • Basic policies job scheduling and resource
    selection
  • Extensible implementation through interfaces
  • Policy management.
  • Interface example
  • evaluate(List jobs, List resources) job,
    resource
  • Client interface examples
  • get_MetaSchPolicies() string
  • set_JobSchPolicy(String policy) int

SCHEDULING POLICY
k jobs
1
k
RESOURCE SELECTION POLICY
j resources
job1
resl
res1
resj
job2
res3
res2
res4
Resi
jobi
res5
jobk
resp
res4
META-POLICY (e.g. genetic algorithm)
job / resource
15
Functionality
  • We have done functionality tests including data
    persistence and job rescheduling
  • Basic performance and behavior studies

irodero_at_pcmas/broker/proves job_history
3_at_1087831873921 21/5/2004 172011 gt JOB
CREATION 21/5/2004 172011 gt JOB QUEUED in
PENDING queue 21/5/2004 173113 gt RESTORED
From Recovery File (to be created another
time) 21/5/2004 173113 gt JOB
CREATION 21/5/2004 173113 gt JOB QUEUED in
PENDING queue 21/5/2004 173201 gt JOB SUBMITED
to pcirodero.ac.upc.es 21/5/2004 173301 gt
JOB QUEUED FOR RETRYING because resource
pcirodero.ac.upc.es has failed 21/5/2004 173411
gt JOB SUBMITED to pcmas 21/5/2004 174625 gt
JOB DONE
16
Conclusions
  • We have presented a Resource Broker implemented
    as a Grid Service and compatible with both GT3
    and GT2 services
  • Using GT3 and Java we obtained more
    flexibility, oriented to WS, standard and
    portable
  • We have encountered some problems with GT3
    (especially with GRAM)
  • The GT3 main problems such as overhead are
    being solved with GT4

17
Future Work
  • Coordinated scheduling between
  • Grid Broker (eNANOS Broker)
  • Local Scheduler (eNANOS Scheduler)
  • Queuing System (LoadLeveler)
  • Processor Scheduler (NANOS-RM)
  • for MPIOpenMP applications in HPC environments
  • Scheduling based on prediction techniques
  • Porting the eNANOS Broker to GT4

18
Thank you -)irodero_at_ac.upc.edu
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