Agent–based monitoring of the task scheduling in computational clouds
Authors:
- Daniel Grzonka,
- Joanna Kołodziej,
- Agnieszka Jakóbik
Abstract
The monitoring of the computational processes in highly distributed environments remains challenging in today’s High Performance Computing. In this paper, we define the agent-based cloud monitoring system for supporting the computational tasks scheduling and resource allocation. The system consists of two types of agents, which may decide about the initialization of the schedule execution and monitor the work of the cloud computational nodes. The decision about running the new scheduling process is based on the expected number of available computational units in the specified time window. The efficiency of the proposed MAS-based model was justified through 40 empirical tests, where clouds without and within the MAS support were compared. The multiagent system (MAS) effectiveness has been expressed in the average number of floating point operations completed at the cloud resources in one second. The obtained results show the importance of setting the optimal initial time for execution of the new schedule. Our experiments show that for running the new schedule, at least 25% of the computing units in the clouds should be in the idle mode. Also the batches of tasks should not be too large, cause the waiting time for new schedule for execution should be short and not greater than 10% of expected batch execution time.
- Record ID
- CUTa6f3986b2aab4fa387a64164ce98775a
- Publication categories
- ;
- Author
- Journal series
- Journal of Intelligent & Fuzzy Systems, ISSN 1064-1246, e-ISSN 1875-8967, [1875-8967]
- Issue year
- 2019
- Vol
- 37
- No
- 6
- Pages
- 7481-7492
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (na s.) - 7491-7492; Bibliografia (liczba pozycji) - 34; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - Vol. 37, Iss. 6
- Substantive notes
- Special Section: Collective intelligence in information systems
- Keywords in English
- multiagent systems, monitoring, computational cloud, autonomous agent, batch scheduling
- DOI
- DOI:10.3233/JIFS-179355 Opening in a new tab
- URL
- https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs179355 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 70
- Publication indicators
- = 1
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTa6f3986b2aab4fa387a64164ce98775a/
- URN
urn:pkr-prod:CUTa6f3986b2aab4fa387a64164ce98775a
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.