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"Computing Resource Allocation at Large Scale Computing Distributed
|Speaker: ||Dr. Cipriano Santos, Hewlett-Packard Research|
|Location: ||2112 MSB|
|Start time: ||Fri, Apr 7 2006, 12:10PM|
Data Centers have grown significantly in both size and complexity.
Some Data Centers today consist of tens of thousands of servers with
high-speed network connections for both inter- and intra-IDC communications.
Managing both infrastructure and applications in such large and
complex environments raises many challenges since Data Center
operating costs can escalate very quickly, damaging the profitability
of these businesses. The key to effective management of these large
data complexes is to continually evaluate and refine business models
and processes, and to employ decision support and automation tools for
assessing performance and making good operational and strategic decisions.
In this talk, I address the resource allocation problem (RAP) for
large scale Data Centers using mathematical optimization techniques.
The RAP problem is defined as
follows: given a physical topology of resources in a large Data
Center, and an application with certain architecture and requirements,
we want to determine which resources in the physical topology should
be assigned to the application architecture such that application
requirements and bandwidth constraints in the network are satisfied,
while communication delay between assigned servers is Minimized.