Cloud Computing resources utilization forecasting using machine learning
Abdul Raheem Aleem (5012)
Cloud Computing resources utilization forecasting using machine learning - Lahore (unpublished) 2023 - xii, 69 p. : ill. ; 30 cm. + CD
Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.
Includes bibliographical references.
Thesis supervisor: Dr. Sheheryar Malik
Thesis (MSCS)--Riphah International University, 2023
English
Computer science
Cloud Computing--Forecasting --Utilization--FC--RCSI
004 / ABD
Cloud Computing resources utilization forecasting using machine learning - Lahore (unpublished) 2023 - xii, 69 p. : ill. ; 30 cm. + CD
Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.
Includes bibliographical references.
Thesis supervisor: Dr. Sheheryar Malik
Thesis (MSCS)--Riphah International University, 2023
English
Computer science
Cloud Computing--Forecasting --Utilization--FC--RCSI
004 / ABD