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Energy-efficient, green job scheduling for geographically distributed data centers

By: Farrukh Mahmood Material type: Text

TextPublisher: Islamabad NUST-SEECS 2015Description: 42p. ill.; CD ROMDDC classification: MSCS-1 MAH Online resources: Click here to access online

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Item type	Current location	Home library	Collection	Shelving location	Call number	Status	Barcode
Thesis	Central Library (CL)	Central Library (CL)		Thesis	005 MSCS-1 MAH (Browse shelf)	Available	CL-T-4510
Thesis	Central Library (CL)	Central Library (CL)		Thesis	005 (Browse shelf)	Available	CL-T-3416
Project Report	Central Library (CL)	Central Library (CL)	REF	Reference	MSCS-1 MAH (Browse shelf)	Available	SEECSP01771

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Previous	MSCS-1 AZI Impact of gaming on human risk behavior	MSCS-1 JAV Inaccuracy in touch screen tapping	MSCS-1 KHA A multi-agent persistency framework using cloud-based agent mirroring	MSCS-1 MAH Energy-efficient, green job scheduling for geographically distributed data centers	MSCS-1 MAN Determining the attitude of UK-DMC by registering its single bank, dual band imagery	MSCS-1 RAZ Exploiting pre-trained deep convolutional neural networks for robust visual indoor place recognition	MSCS-1 SAD Multicore enabled support vector machines (SVM) using Intel cilk Plus	Next

Supervisors: DR. Zahid Anwar, Dr. Peter Charles Bloodsworth, Dr. Hamid Mukhtar, Dr.Asad Waqar Malik

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