[NRG] Reminder: NRG Meeting: Predictability in Brokered Virtualized Envir... @ Tue Oct 14, 2014 11am - 12pm (NRG Calendar)

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Mon Oct 13 10:59:54 EDT 2014


This is a reminder for:

Title: NRG Meeting: Predictability in Brokered Virtualized Environments  
(Christine Bassem)
Title: Predictability in Brokered Virtualized Environments

Presenter: Christine Bassem


Abstract:
Providing resource allocation with performance predictability guarantees is  
an increasingly important capability in cloud platforms, especially for  
data-intensive applications, in which performance depends greatly on the  
speed of data transfer. Existing resource allocation solutions either  
assume that applications manage their internal scheduling, or that cloud  
providers manage their internal networking resources to achieve performance  
predictability. With the growing trend of brokerage services on cloud  
platforms, there is a need for resource allocation solutions that provides  
predictability guarantees in settings where neither application scheduling  
nor cloud provider resources can be managed/controlled by the broker.
In this paper, we propose a brokerage model for providing performance  
predictability guarantees for workloads on cloud platforms, and we define  
the Resource Allocation for Predictability problem (RAP) of finding the  
optimal mapping of brokered resources to applications with guaranteed  
performance predictability. Although we prove that RAP is NP-hard to solve  
optimally, we define two special instances of the problem, for which exact  
solutions can be found in polynomial time. Finally, we develop a greedy  
heuristic to solve RAP in the general model, which we evaluate using  
simulations on various application workloads, and network models, and show  
its efficiency.
When: Tue Oct 14, 2014 11am – 12pm Eastern Time
Where: MCS 148
Calendar: NRG Calendar
Who:
     * Yuefeng Wang - creator

Event details:  
https://www.google.com/calendar/event?action=VIEW&eid=M3FnZ2hzc242cGhpNWlkZHU0ajJoNXQ0dDQgNTYwam42bnQ1aGo0b2YzcnNyaWNoZnB0aW9AZw

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