668 results about "Service-level agreement" patented technology

Certain embodiments enable resources assigned or allocated to an operating virtual machine (VM) to be modified while the VM is operating and without having to stop, restart, or reboot the VM. The modification may correspond to increasing or decreasing the amount of a resource being assigned to the VM. In this manner, resources assigned to a VM at the time of creation of the VM are not static and can instead be dynamically changed while the VM is operating without having to stop, reboot, or restart the VM. In some embodiments, the changes to the resources allocated to one or more VMs provided for a user (e.g., a customer) may be made according to or in response to a Service Level Agreement (SLA) entered into by the user, in response to an event such as a failover or switchover event, and the like.

Methods, apparatuses and systems directed to adaptive monitoring of network application performance. In one implementation, the present invention improves processes used by enterprises to track, manage, and troubleshoot performance of network applications across distributed networks. In one implementation, the present invention allows for a network application performance monitoring scheme that tracks end-to-end performance of selected network applications on a passive basis, while selectively engaging more invasive (synthetic) approaches to tracking performance and troubleshooting issues when needed.

Quality of Service (QoS) support is provided by means of a Tiered Contention Multiple Access (TCMA) distributed medium access protocol that schedules transmission of different types of traffic based on their service quality specifications. In one embodiment, a wireless station is supplied with data from a source having a lower QoS priority QoS(A), such as file transfer data. Another wireless station is supplied with data from a source having a higher QoS priority QoS(B), such as voice and video data. Each wireless station can determine the urgency class of its pending packets according to a scheduling algorithm. For example file transfer data is assigned lower urgency class and voice and video data is assigned higher urgency class. There are several urgency classes which indicate the desired ordering. Pending packets in a given urgency class are transmitted before transmitting packets of a lower urgency class by relying on class-differentiated urgency arbitration times (UATs), which are the idle time intervals required before the random backoff counter is decreased. In another embodiment packets are reclassified in real time with a scheduling algorithm that adjusts the class assigned to packets based on observed performance parameters and according to negotiated QoS-based requirements. Further, for packets assigned the same arbitration time, additional differentiation into more urgency classes is achieved in terms of the contention resolution mechanism employed, thus yielding hybrid packet prioritization methods. An Enhanced DCF Parameter Set is contained in a control packet sent by the AP to the associated stations, which contains class differentiated parameter values necessary to support the TCMA. These parameters can be changed based on different algorithms to support call admission and flow control functions and to meet the requirements of service level agreements.

A Domain Name System (DNS) server is configured for dynamically selecting, for a client device, a selected resolution from available resolutions, the selected resolution identifying at least one destination for the specified service. The dynamic selection of the selected resolution is based on an attribute of the client device and/or a determined attribute of the network. Hence, the selected resolution directs the client device to a specific server based on prescribed selection criteria, for example service level agreements, the location of the client device, network performance or detected congestion conditions, authentication of the user of the client device, etc. The selected resolution also can be for enforcement of load balancing policies.

A method for managing multi-tier SLA relationships. The method can include first computing costs of utilizing edge server resources in a CDN, costs of dedicating content host resources in a content host in lieu of the utilization, and prospective revenues which can be generated by the content host providing services based on the resources to content consumers. Minimum QoS levels can be identified which must be maintained when providing the services to the content consumers according to QoS terms in established SLAs between the content host and individual ones of the content consumers. Finally, a new SLA can be established between the content host and the CDN. Importantly, the new SLA can include QoS terms for selectively allocating resources in the CDN. Moreover, the QoS terms can optimize revenues generated by the content host providing services based on the selective allocation of resources and the computed costs.

An on-demand manager provides an improved distributed data processing system for facilitating dynamic allocation of computing resources among multiple domains based on a current workload and service level agreements. Based on a service level agreement, the on-demand manager monitors and predicts the load on the system. If the current or predicted load cannot be handled with the current system configuration, the on-demand manager determines additional resources needed to handle the workload. If the service level agreement violations cannot be handled by reconfiguring resources at a domain, the on-demand manager sends a resource request to other domains. These other domains analyze their own commitments and may accept the resource request, reject the request, or counter-propose with an offer of resources and a corresponding service level agreement. Once the requesting domain has acquired resources, workload load balancers are reconfigured to allocate some of the workload from the requesting site to the acquired remote resources.

A proactive network analysis system is a single unit for diagnosing network problems, measuring network performance, and monitoring network status in a comprehensive manner. The system is a compilation of individual tools including a distributed network packet capture data stream collector; a traffic analyzer; a performance graphing unit; a syslog recorder analyzer and archiving unit; a system availability monitor; a device configuration archiving unit; and a throughput measurement tool. The system can further provide an access list generator, an access list analyzer, a router DNS name generator and a service level agreement measurement device.

Historical data is measured for a computer server system. Future demand for service in the computer server system is forecast based on the historical data, and the mapping of virtual machines to physical machines is updated based on the forecast of the future demand. Measurement, forecasting, and placement modules can be employed.

A system for computing an optimal deployment of at least one web application in a multi-datacenter system comprising a collector for collecting performance measurements with regard to a web application executed in the multi-datacenter system and grouping the performance measurements according to locations of a plurality of clients accessing the web application; a data repository for maintaining at least a performance table including at least the performance measurements grouped according to the plurality of client locations and a service level agreement (SLA) guaranteed to clients in the plurality of client locations; and an analyzer for processing at least information stored in the performance table for generating a recommendation on an optimal deployment of the web application in at least one combination of datacenters in the multi-datacenter system by computing an expected SLA that can be guaranteed to the clients in each combination of datacenters.

A Time-Based Service Monitoring mechanism for monitoring Service Level Agreements (SLAs) over specific time intervals is described. To provide for the time-based monitoring of service, data is received for defining one or more tests for monitoring the level of network service that is being provided to a particular customer. Based on the received data, information is created and stored that defines a specific time range for when the one or more tests are to be enforced. The one or more tests are distributed to one or more agents that are configured to communicate with devices that are associated with the network. The devices are then configured to perform the one or more tests within the specific time range. Based on the results, the customer is provided information indicating whether they are receiving the level of service that has been guaranteed by the service provider over the specific time intervals.

The present invention describes a system for automatically monitoring and managing Service Level Agreements on behalf of Service Providers (such as Application Service providers). The system is based on a specialized SLA language that can translate complex or simple Service Level Agreements into measurable and controllable criterion. The system enables Application Service providers to set up customized Service Level Agreements with customers, and monitor, modify and control all aspects of these agreements, including billing, sales, Customer Relation Management, customer support and Quality of Service. The technology on which the present invention is based is a formula driven language that translates Service Level Agreement details into commands. As such these details can be tracked and processed to produce detailed reports and summaries.

Approaches are used for efficiently and effectively managing the dynamic allocation of resources of multi-node database systems between services provided by the multi-node database server. A service is a category of work that is hosted on the database server. The approaches manage allocation of resources at different levels. For services that use a particular database, the performance realized by the services is monitored. Resources assigned to the database are allocated between these services to ensure performance goals for each are met. Resources assigned to a cluster of nodes are allocated between the databases to ensure that performance goals for all the services that use the databases are met. Resources assigned to a farm of clusters are assigned amongst clusters based on service level agreements and back-end policies. The approach uses a hierarchy of directors to manage resources at the different levels.

Methods, systems, computer program products, and a method of doing business are disclosed for autonomically provisioning network-accessible services in a decentralized network having a federated grid infrastructure. Autonomic, grid, and web services-related technologies, standards, and concepts are leveraged. More particularly, web service behaviors (augmented as grid services, according to preferred embodiments) are autonomically provisioned (i.e., dynamically distributed) via a grid of hosting services. In preferred embodiments, this dynamic distribution occurs in response to (and as a function of) external catalysts, such as algorithms that monitor designated resources (e.g., to proactively determine when the commitments in a utility service provider's service level agreements are in jeopardy).

Improving the utilization of physical resources and reducing energy consumption in a cloud data center includes providing a plurality of virtual machines in the cloud data center; periodically reallocating resources of the plurality of virtual machines according to a current resource demand of the plurality of virtual machines in order to minimize a number of active physical servers required to handle a workload of the physical servers; maximizing a mean inter-migration time between virtual machine migrations under the quality of service requirement based on a Markov chain model; and using a multisize sliding window workload estimation process for a non-stationary workload to maximize the mean inter-migration time.

Method and apparatus for service level management, wherein business processes are composed of services. A state of the service is defined by one or more service parameters, and the service parameters depend upon performance of network components that support the service, e.g., component parameters. The state of the service may depend, for example, on a collection of service parameter values for availability, reliability, security, integrity and response time. A service level agreement is a contract between a supplier and a customer that identifies services supported by a network, service parameters for the services, and service levels (e.g., acceptable levels) for each service parameter.

A server allocation controller provides an improved distributed data processing system for facilitating dynamic allocation of computing resources. The server allocation controller supports transaction and parallel services across multiple data centers enabling dynamic allocation of computing resources based on the current workload and service level agreements. The server allocation controller provides a method for dynamic re-partitioning of the workload to handle workload surges. Computing resources are dynamically assigned among transaction and parallel application classes, based on the current and predicted workload. Based on a service level agreement, the server allocation controller monitors and predicts the load on the system. If the current or predicted load cannot be handled with the current system configuration the server allocation controller determines additional resources needed to handle the current or predicted workload. The server cluster is reconfigured to meet the service level agreement.