Microsoft Technology Licensing, LLC

Abhisek Pan

Karthikeyan Subramanian

Gowtham Natarajan

Esaias Englebertus Greeff

Karel Trueba Nobregas

Eric Zhao Hao

The present disclosure relates to systems, methods, and computer readable media for reducing placement conflicts between allocation agents tasked with allocating computing resources on a computing zone. For example, systems disclosed herein may identify placement conflicts between multiple allocation agents processing incoming placement requests on a computing zone. The systems disclosed herein may further modify a placement policy based on the number of placement conflicts by reducing one or more restrictions on rules for allocating computing resources. For example, the systems disclosed herein may enlarge a placement zone of server nodes when allocating computing resources to prevent or otherwise reduce conflicts between multiple allocation agents implementing the same placement policies. By reducing allocation restrictions and enlarging a placement zone, the systems described herein may significantly reduce placement conflicts while still optimizing placement of services on nodes of a cloud computing system.

Reducing placement conflicts between concurrent virtual machine allocations

A method for evaluating at least one potential policy for an IaaS system may include determining a predicted workload for the IaaS system based on at least one generative model corresponding to the IaaS system. The at least one potential policy for the IaaS system may be simulated based on the predicted workload, thereby producing one or more simulation metrics that indicate effects of the at least one potential policy. The performance of the IaaS system may be optimized based on the one or more simulation metrics.

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Bellevue, WA, United States of America

Abhisek Pan