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In-person
November 12-15
Learn More and Register to Attend

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Please note: This schedule is automatically displayed in Mountain Standard Time (UTC -7). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Wednesday November 13, 2024 6:00pm - 8:00pm MST
A standout feature of Kubernetes is its sophisticated mechanism for pulling container images from repositories, aligning containers with the appropriate pods, and strategically deploying pods to nodes that meet their resource requirements—such as CPU, GPU, RAM, network, and storage. This process adheres to the defined affinity and anti-affinity specifications between pods and nodes. Despite these capabilities, the challenge of optimally arranging a multitude of workloads, each comprising several pods within a cluster, remains an ongoing endeavor. In our research, we illustrate that a set of YAML files, which detail a workload deployment request, can be systematically transformed into a Binary Integer Linear Programming (BILP) model. Depending on the specific optimization goals, the objective functions of the model can be tailored accordingly. With the imposition of broad conditions, it is feasible to derive an optimal solution that adheres to polynomial time complexity constraints.
Speakers
avatar for Jack Xue

Jack Xue

Principal Cloud Solution Architect, Microsoft
PhD & MBA. Principal Cloud Solution Architect, Microsoft
Wednesday November 13, 2024 6:00pm - 8:00pm MST
Salt Palace | Level 1 | Halls A-C + 1-5 | Solutions Showcase

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