Cisco
Senior Technical Leader
Vmware Jun 2003 - Jun 2011
Staff Engineer
Virtuata, Inc. Acquired By Cisco (July 2012) Jun 2003 - Jun 2011
Technical Leader
University of Rochester Sep 1997 - Mar 2003
Research Assistant
Education:
University of Rochester 1997 - 2004
Doctorates, Doctor of Philosophy, Computer Science
Orta Doğu Teknik Üniversitesi / Middle East Technical University 1988 - 1993
Bachelors, Bachelor of Science, Computer Engineering
Interests:
Reading
Languages:
English
Us Patents
System And Method For Automatically Optimizing Capacity Between Server Clusters
Xianan ZHANG - San Jose CA, US Eddie MA - San Ramon CA, US Umit RENCUZOGULLARI - Sunnyvale CA, US Irfan AHMAD - Mountain View CA, US Orran KRIEGER - Newton MA, US Mukil KESAVAN - Atlanta GA, US
Assignee:
VMWARE, INC. - Palo Alto CA
International Classification:
G06F 15/173 G06F 9/455
US Classification:
709226, 718 1
Abstract:
A resource management system for a virtual machine computing environment includes a software component that optimizes capacity between server clusters or groups by monitoring the capacity of server clusters or groups and automatically adding and removing host systems to and from server clusters or groups. The software component may be implemented at a server cluster management level to monitor and execute host system moves between server clusters and/or at a higher level in the resource management hierarchy. At the higher level, the software component is configured to monitor and execute host system moves between sets of server clusters being managed by different server cluster management agents.
Alok Kumar GUPTA - Cupertino CA, US Minwen JI - Los Altos CA, US Timothy P. MANN - Palo Alto CA, US Tahir MOBASHIR - Mountain View CA, US Umit RENCUZOGULLARI - Sunnyvale CA, US Ganesha SHANMUGANATHAN - Mountain View CA, US Limin WANG - Sunnyvale CA, US Anne Marie HOLLER - Los Altos CA, US
Assignee:
VMWARE, INC. - Palo Alto CA
International Classification:
G06F 1/32
US Classification:
713310, 713320
Abstract:
A method of reducing power consumption of a server cluster of host systems with virtual machines executing on the host systems is disclosed. The method includes recommending host system power-on when there is a host system whose utilization is above a target utilization, and recommending host system power-off when there is a host system whose utilization is below the target utilization. Recommending host system power-on includes calculating impact of powering on a standby host system with respect to reducing the number of highly-utilized host systems in the server cluster. The impact of powering on is calculated by simulating moving some virtual machines from highly utilized host systems to the standby host system being recommended to be powered on. Recommending host system power-off includes calculating impact of powering off a host system with respect to decreasing the number of less-utilized host systems in the server cluster. The impact of powering off is calculated by simulating moving all virtual machines from the host system, which is being recommended to be powered-off, to less-utilized host systems.
System And Method For Automatically Optimizing Capacity Between Server Clusters
- Palo Alto CA, US Eddie Ma - San Ramon CA, US Umit Rencuzogullari - Sunnyvale CA, US Irfan Ahmad - Mountain View CA, US Orran Krieger - Newton MA, US Mukil Kesavan - Atlanta GA, US
International Classification:
H04L 12/803 G06F 15/173
Abstract:
A resource management system for a virtual machine computing environment includes a software component that optimizes capacity between server clusters or groups by monitoring the capacity of server clusters or groups and automatically adding and removing host systems to and from server clusters or groups. The software component may be implemented at a server cluster management level to monitor and execute host system moves between server clusters and/or at a higher level in the resource management hierarchy. At the higher level, the software component is configured to monitor and execute host system moves between sets of server clusters being managed by different server cluster management agents.
- Palo Alto CA, US Minwen JI - Los Altos CA, US Timothy P. MANN - Palo Alto CA, US Tahir MOBASHIR - Mountain View CA, US Umit RENCUZOGULLARI - Sunnyvale CA, US Ganesha SHANMUGANATHAN - Mountain View CA, US Limin WANG - Sunnyvale CA, US Anne Marie HOLLER - Los Altos CA, US
International Classification:
G06F 1/32 H04L 12/26 G06F 9/50
Abstract:
A method of reducing power consumption of a server cluster of host systems with virtual machines executing on the host systems is provided. The method includes recommending host system power-on when there is a host system whose utilization is above a target utilization, and recommending host system power-off when there is a host system whose utilization is below the target utilization. Recommending host system power-on includes calculating impact of powering on a standby host system with respect to reducing the number of highly-utilized host systems in the server cluster. Recommending host system power-off includes calculating impact of powering off a host system with respect to decreasing the number of less-utilized host systems in the server cluster.
- Palo Alto CA, US Minwen JI - Los Altos CA, US Timothy P. MANN - Palo Alto CA, US Tahir MOBASHIR - Mountain View CA, US Umit RENCUZOGULLARI - Sunnyvale CA, US Ganesha SHANMUGANATHAN - Mountain View CA, US Limin WANG - Sunnyvale CA, US Anne Marie HOLLER - Los Altos CA, US
International Classification:
G06F 1/32 H04L 12/26
Abstract:
A method of reducing power consumption of a server cluster of host systems with virtual machines executing on the host systems is provided. The method includes recommending host system power-on when there is a host system whose utilization is above a target utilization, and recommending host system power-off when there is a host system whose utilization is below the target utilization. Recommending host system power-on includes calculating impact of powering on a standby host system with respect to reducing the number of highly-utilized host systems in the server cluster. Recommending host system power-off includes calculating impact of powering off a host system with respect to decreasing the number of less-utilized host systems in the server cluster.
System And Method For Automatically Optimizing Capacity Between Server Clusters
- Palo Alto CA, US Eddie Ma - San Ramon CA, US Umit Rencuzogullari - Sunnyvale CA, US Irfan Ahmad - Mountain View CA, US Orran Krieger - Newton MA, US Mukil Kesavan - Atlanta GA, US
Assignee:
VMWARE, INC. - Palo Alto CA
International Classification:
H04L 12/803 H04L 12/26
US Classification:
709224
Abstract:
A resource management system for a virtual machine computing environment includes a software component that optimizes capacity between server clusters or groups by monitoring the capacity of server clusters or groups and automatically adding and removing host systems to and from server clusters or groups. The software component may be implemented at a server cluster management level to monitor and execute host system moves between server clusters and/or at a higher level in the resource management hierarchy. At the higher level, the software component is configured to monitor and execute host system moves between sets of server clusters being managed by different server cluster management agents.