International Business Machines Corporation

Anil Kumar Vishnoi

Vijay Mann

Kalapriya Kannan

Manish Satyapal Gupta

Shivkumar Kalyanaraman

Ravi Kothari

Naga R Samineni

According to embodiments of the disclosure, methods, apparatuses, and computer products for controller based network resource management are disclosed. The method may include receiving a flow at a network controller, determining a flow parameter for the flow, and determining, via the network controller, an idle timeout for a flow rule, corresponding to the flow based on the flow parameter. Determining a previous idle timeout for the flow in response to determining that the flow has been received before, and determining an activity factor for the flow rule in response to the previous idle timeout being greater than or equal to the second value. The apparatus may be a network controller including a processor, and a memory configured to receive a flow, determine a flow parameter for the flow, and determine an idle timeout for the flow rule based on the flow parameter.

Controller based network resource management

Methods and arrangements for facilitating virtual machine migration across data centers. A virtual machine is designated for migration from a first data center to a second data center, the virtual machine including a real identifier. A pseudo identifier is assigned to the virtual machine, and the pseudo identifier is mapped to the real identifier at a controller of the first data center. The real identifier is replaced in a data packet with the pseudo identifier for a routing task. Communication is maintained between the controller of the first data center and a controller of the second data center, and the controllers are synchronized to update a correct location of the virtual machine. The virtual machine is migrated from the first data center to the second data center.

Interconnecting data centers for migration of virtual machines

Methods and arrangements for detecting and diagnosing system outages. A system outage is ascertained and aberrant user activities are categorized, as possible contributors to the system outage, based on system impact. User activities and system impact are learned, and user activities and system impact are compared against predetermined rules. A system outage alert is generated, and a user activity responsible for the system outage is displayed.

Fast detection and diagnosis of system outages

Systems and methods for fast detection and diagnosis of system outages

Methods and arrangements for emulating a data center network. A first end host and a second end host are provided. A base hypervisor is associated with each of the first and second end hosts, and the first and second end hosts are interconnected. A virtual hypervisor is associated with at least one virtual machine running on at least one of the base hypervisors, and virtual hypervisors are interconnected within one of the first and second end hosts. A virtual machine is nested within the virtual hypervisor, and the virtual machine is migrated from one virtual hypervisor to a destination virtual hypervisor to further be nested within the destination virtual hypervisor.

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Haryana, India

Anil Kumar Vishnoi