Abstract: Approaches presented herein enable provisional scheduling of resources in a cloud computing environment. More specifically, a first group request to host an application is obtained. This first group request includes one or more virtual units, which each have one or more topological constraints. One or more resources are scheduled for each of the virtual units. This scheduling includes provisionally allocating the resources to each of the virtual units according to the topological constraints. Each resource comprises a respective weight. In response to obtaining a second group request, the resources are provisionally re-allocated to one or more virtual units of the second group request according to one or more topological constraints of the second group request and the respective weight of each of the resources. This re-allocating minimizes a summation of each respective weight of the resources. A new respective weight is then assigned to each of the resources.

Abstract: Embodiments for dynamic bandwidth allocation in cloud network switches in a cloud computing environment are provided. Quality of service (QoS) policies may be dynamically changed in one or more cloud network switches based on dynamically estimating expected traffic demands for each of a plurality of traffic classes, wherein bandwidth is dynamically allocated among queues based on changing the QoS policies.

Abstract: Disclosed embodiments provide a virtual topology in response to an allocation request. The virtual topology is a synchronized subgraph of the physical topology. The synchronized subgraph virtual topology mirrors the physical topology in terms of tree structure. However, merely sharing the physical topology with users/customers is not feasible, as it may reveal additional infrastructure details such as MAC addresses, IP addresses, and the like, that can compromise security and/or jeopardize multi-tenant operations. Disclosed embodiments create virtual topology structures with obfuscated node data, so that important data such as physical IP addresses and/or MAC addresses are hidden from the end-users. Thus, disclosed embodiments provide the benefits of performance enhancement that comes from sharing the topology without the downside of compromising security by revealing physical topology details.

Abstract: Embodiments for dynamic bandwidth allocation in cloud network switches in a cloud computing environment are provided. Quality of service (QoS) policies may be dynamically changed in one or more cloud network switches based on dynamically estimating expected traffic demands for each of a plurality of traffic classes, wherein bandwidth is dynamically allocated among queues based on changing the QoS policies.