| Type of Material: | Thesis |
| Title: | A multi objective pareto based hyper heuristic approach to optimize scientific and big data workflows task scheduling in IAAS cloud |
| Researcher: | Arunkumar, P. |
| Guide: | Bhuvaneswari, S. |
| Department: | Department of Computer Science |
| Publisher: | Pondicherry University, Puducherry |
| Place: | Pondicherry |
| Year: | 2019 |
| Language: | English |
| Subject: | Engineering and Technology | Computer Science Artificial Intelligence | Big data | Hyper-Heuristic technique | Scientific Workflow task scheduling | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Computer Science, Pondicherry University, Puducherry, Pondicherry; 2019 |
| Fulltext: | Shodhganga |
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| 040 | __ | |aPNDI_605104|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aArunkumar, P.|eResearcher |
| 110 | __ | |aDepartment of Computer Science|bPondicherry University, Puducherry|dPondicherry|ein |
| 245 | __ | |aA multi objective pareto based hyper heuristic approach to optimize scientific and big data workflows task scheduling in IAAS cloud |
| 260 | __ | |aPondicherry|bPondicherry University, Puducherry|c2019 |
| 300 | __ | |axviii, 100 p.|dDVD |
| 502 | __ | |bPhD|cDepartment of Computer Science, Pondicherry University, Puducherry, Pondicherry|d2019 |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aComputer Science Artificial Intelligence |
| 653 | __ | |aBig data |
| 653 | __ | |aHyper-Heuristic technique |
| 653 | __ | |aScientific Workflow task scheduling |
| 700 | __ | |aBhuvaneswari, S.|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/375413|yShodhganga |
| 905 | __ | |afromsg |
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