SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT
The Grid computing environment is very important for solving scientific problems. To get the best performance from Grid, it is important to know where to send tasks. This paper is about one of the suggested methods for a Grid resource broker to find the best resources for the task. This method requi...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | Lithuanian |
| Published: |
Kauno Kolegija (Kaunas University of Applied Sciences)
2021-12-01
|
| Series: | Mokslo Taikomieji Tyrimai Lietuvos Kolegijose |
| Subjects: | |
| Online Access: | http://ojs.kaunokolegija.lt/index.php/mttlk/article/view/503 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832576127403556864 |
|---|---|
| author | Donatas Sandonavičius Aušra Gadeikytė Giedrius Paulikas Mindaugas Vaitkūnas Gytis Vilutis Gintaras Butkus |
| author_facet | Donatas Sandonavičius Aušra Gadeikytė Giedrius Paulikas Mindaugas Vaitkūnas Gytis Vilutis Gintaras Butkus |
| author_sort | Donatas Sandonavičius |
| collection | DOAJ |
| description | The Grid computing environment is very important for solving scientific problems. To get the best performance from Grid, it is important to know where to send tasks. This paper is about one of the suggested methods for a Grid resource broker to find the best resources for the task. This method requires defining the parameters of the resources and knowing the importance of the weights of parameters. This paper also presents the self-learning method of parameter weights. |
| format | Article |
| id | doaj-art-58c0428f26b246ba92f75bb787c2f63e |
| institution | Kabale University |
| issn | 1822-1068 2335-8904 |
| language | Lithuanian |
| publishDate | 2021-12-01 |
| publisher | Kauno Kolegija (Kaunas University of Applied Sciences) |
| record_format | Article |
| series | Mokslo Taikomieji Tyrimai Lietuvos Kolegijose |
| spelling | doaj-art-58c0428f26b246ba92f75bb787c2f63e2025-01-31T10:29:11ZlitKauno Kolegija (Kaunas University of Applied Sciences)Mokslo Taikomieji Tyrimai Lietuvos Kolegijose1822-10682335-89042021-12-01217123129SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENTDonatas Sandonavičius0Aušra Gadeikytė1Giedrius Paulikas2Mindaugas Vaitkūnas3Gytis Vilutis4Gintaras Butkus5Kaunas University of TechnologyKaunas University of TechnologyKaunas University of TechnologyKaunas University of TechnologyKaunas University of TechnologyKaunas University of Applied SciencesThe Grid computing environment is very important for solving scientific problems. To get the best performance from Grid, it is important to know where to send tasks. This paper is about one of the suggested methods for a Grid resource broker to find the best resources for the task. This method requires defining the parameters of the resources and knowing the importance of the weights of parameters. This paper also presents the self-learning method of parameter weights.http://ojs.kaunokolegija.lt/index.php/mttlk/article/view/503gridcloudquality of serviceresource brokerself-learning of parameter weights |
| spellingShingle | Donatas Sandonavičius Aušra Gadeikytė Giedrius Paulikas Mindaugas Vaitkūnas Gytis Vilutis Gintaras Butkus SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT Mokslo Taikomieji Tyrimai Lietuvos Kolegijose grid cloud quality of service resource broker self-learning of parameter weights |
| title | SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT |
| title_full | SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT |
| title_fullStr | SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT |
| title_full_unstemmed | SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT |
| title_short | SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT |
| title_sort | self learning of parameter weights for task scheduling in grid computing environment |
| topic | grid cloud quality of service resource broker self-learning of parameter weights |
| url | http://ojs.kaunokolegija.lt/index.php/mttlk/article/view/503 |
| work_keys_str_mv | AT donatassandonavicius selflearningofparameterweightsfortaskschedulingingridcomputingenvironment AT ausragadeikyte selflearningofparameterweightsfortaskschedulingingridcomputingenvironment AT giedriuspaulikas selflearningofparameterweightsfortaskschedulingingridcomputingenvironment AT mindaugasvaitkunas selflearningofparameterweightsfortaskschedulingingridcomputingenvironment AT gytisvilutis selflearningofparameterweightsfortaskschedulingingridcomputingenvironment AT gintarasbutkus selflearningofparameterweightsfortaskschedulingingridcomputingenvironment |