Sergey Belov, LIT JINR 15 September, NEC’2011, Varna, Bulgaria.

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Presentation transcript:

Sergey Belov, LIT JINR 15 September, NEC’2011, Varna, Bulgaria

 Grid support for national nanotechnology network of Russia ◦ To provide for science and industry an effective access to the distributed computational, informational and networking facilities ◦ Expecting breakthrough in nanotechnologies ◦ Supported by the special federal program  Main technical points ◦ based on a network of supercomputers (about 15-30) ◦ has two grid operations centers (main and backup) ◦ is a set of grid services with unified interface ◦ partially based on Globus Toolkit 4 S. Belov, GridNNN monitoring 2/15

 Main aim ◦ integration of small and medium supercomputers into a unified distributed computing environment  Highly heterogeneous grid environment (hardware, software)  Oriented to parallel tasks rather than single batch tasks  Workflow management ◦ Jobs consist of tasks  Follows core OGSA principles  GSI based security model  RESTful grid services S. Belov, GridNNN monitoring 3/15

S. Belov, GridNNN monitoring 4/15 Based on the report of A.Kryukov et al., Architecture of GridNNN, GRID’2010

 WebUI server  Resource Brocker/metascheduler + Workflow management (RESTful)  Information Service (RESTful / WS MDS)  Monitoring & Accounting  Registration service (RESTful)  GSI services ◦ CA, MyProxy, VOMS  GridFTP servers S. Belov, GridNNN monitoring 5/15 Based on the report of A.Kryukov et al., Architecture of GridNNN, GRID’2010

 State of sites and services ◦ Availability ◦ Real operational state  Monitoring of user's jobs and tasks  Keeping history on different system's parameters  Information representation ◦ General infrastructure state in whole ◦ Running jobs and tasks ◦ Separate sites and services (real-time and history) ◦ Visualization of job events S. Belov, GridNNN monitoring 6/15

 State of computational resources by site (based on data from information index(es))  Slots available for tasks  Jobs (total on site), jobs belong to GridNNN  Structure and properties of clusters ◦ Subclusters, nodes, slots, operation system, architecture ◦ Application software ◦ Supported VOs (with ACLs, Access Control Lists)  Monitoring of jobs running on sites (by information from Pilot servers) S. Belov, GridNNN monitoring 7/15

 Goal: checks of services' operation  Simple tests for services registered in Service for Registration of Resources and Services  Connection to the declared port of the machine (plane or secured — in depend of specified protocol)  Information requests to some services  Separate tests scenarios for MDS information indexes and Service for Registration of Resources and Services: information  Web page with the history of functional tests results S. Belov, GridNNN monitoring 8/15

 Goal: to get information, both real-time and historical, on resources utilization and jobs running on GridNNN infrastructure (by users, VOs, sites)  Information sources: Pilot servers, GRAMs and local resources managers  Collecting data on jobs and tasks in the system ◦ All jobs events timestamps, real consumed CPU time  Accounting information reports in different views: ◦ by sites, VOs and single users  Aggregation of actual job's execution time from all sites S. Belov, GridNNN monitoring 9/15

 Gathering statistics on CPU time consumed by users and VOs ◦ In plain hours, later with allowance of computational system productivity  Displaying the statistics of CPU resources usage ◦ Different report kinds: for user, VO manager, site admin, GridNNN project admins ◦ Statistics access roles to protect private information of users and VOs S. Belov, GridNNN monitoring 10/15

S. Belov, GridNNN monitoring 11/15

S. Belov, GridNNN monitoring 12/15 Monitoring and accounting data storage Information collector Pilot Job management services Monitoring website Monitoring data provisioning (Web Services) Accounting Information publisher Functional tests of the services Infosys central Information index

 More than 15 resource centers at the moment in different regions of Russia ◦ RRC KI, «Chebyshev» (MSU), IPCP RAS, CC FEB RAS, ICMM RAS, JINR, SINP MSU, PNPI, KNC RAS, SPbSU, SPII RAS and others S. Belov, GridNNN monitoring 13/15

S. Belov, GridNNN monitoring 14/15

 GridNNN project was successfully finished this summer  The resulting software and created infrastructure are to be used for developing Russian Grid Network project  Fully operational monitoring and accounting tools are in production  Further user interfaces improvements are planned within Russian Grid Network project S. Belov, GridNNN monitoring 15/15