Virtualized data centers enable sharing of resources among hosted applications. However, it is difficult to satisfy service-level objectives(SLOs) of applications on shared infrastructure, as application workloads and resource consumption patterns change over time. In this paper, we present AutoControl, a resource control system that automatically adapts to dynamic workload changes to achieve application SLOs. AutoControl is a combination of an online model estimator and a novel multi-input, multi-output (MIMO) resource controller. The model estimator captures the complex relationship between application performance and resource allocations, while the MIMO controller allocates the right amount of multiple virtualized resources to achieve application SLOs. Our experimental evaluation with RUBiS and TPC-W benchmarks along with production-trace-driven workloads indicates that AutoControl can detect and mitigate CPU and disk I/O bottlenecks that occur over time and across multiple nodes by allocating each resource accordingly. We also show that AutoControl can be used to provide service differentiation according to the application priorities during resource contention.

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Automated control of multiple virtualized resources

A method comprising providing a plurality of links to a plurality of end-user devices communicatively coupled to a network system, a particular link of the plurality of links supporting control-plane communications between the network system and a particular end-user device of the plurality of end-user devices over one or more wireless access networks; receiving a message from a server communicatively coupled to the network system, the message comprising payload for delivery to the particular end-user device; generating an encrypted message comprising the payload and an identifier identifying a particular device agent of a plurality of device agents on the particular end-user device, the identifier configured to assist in delivering at least a portion of the payload to the particular device agent on the particular end-user device; and sending the encrypted message to the particular end-user device over the particular link.

Automated Device Provisioning and Activation

Disclosed herein are methods, systems, and apparatuses to enable subscribers of mobile wireless communication devices to view, research, select and customize service plans; to create and manage device groups, share and set permission controls for service plans among devices in device groups; to manage communication services through graphical user interfaces; to sponsor and promote service plans; and to design, manage, and control communication services through application programming interfaces.

Service Plan Design, User Interfaces, Application Programming Interfaces, and Device Management

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.

Device-Assisted Services for Protecting Network Capacity

The disclosed embodiments include system and method for routing communications over a communications network. In one embodiment, a determination is made as to whether to establish a communication along a communication path based on network performance information. The disclosed embodiments provide several alternatives for establishing the communication and improving communications along the communication path in response to a determination that at least one network node along the communication path is impaired or congested.

System and method for routing data on a packet network

The present invention discloses a method, apparatus and program storage device for providing non-blocking, minimum threaded two-way messaging. A Performance Monitor Daemon provides one non-blocked thread pair per processor to support a large number of connections. The thread pair includes an outbound thread for outbound communication and an inbound thread for inbound communication. The outbound thread and the inbound thread operate asynchronously.

Method for improving performance in a computer storage system by regulating resource requests from clients

Current data centers require storage capacities of hundreds of terabytes to petabytes. Time-critical applications such as online transactions processing depend on getting adequate performance from the storage subsystem: otherwise, they fail. It is difficult to provide predictable quality of service at this level of complexity, because I/O workloads are extremely variable and device behavior is poorly understood. Ensuring that unrelated but competing workloads do not affect each other's performance is still more difficult, and equally necessary. We present SLEDS (Service Level Enforcement Discipline for Storage), a distributed controller that provides statistical performance guarantees on a storage system built from commodity components. SLEDS can adaptively handle unpredictable workload variations so that each client continues to get the performance it needs even in the presence of misbehaving, competing peers. After evaluating the SLEDS on a heterogeneous mid-range storage system, we found that it is vastly superior to the raw system in its ability to provide performance guarantees, while only introducing a negligible overhead.

Performance virtualization for large-scale storage systems

The present system and associated method resolve the problem of providing statistical performance guarantees for applications generating streams of read/write accesses (I/Os) on a shared, potentially distributed storage system of finite resources, by initiating throttling whenever an I/O stream is receiving insufficient resources. The severity of throttling is determined in a dynamic, adaptive way at the storage subsystem level. Global, real-time knowledge about I/O streams is used to apply controls to guarantee quality of service to all I/O streams, providing dynamic control rather than reservation of bandwidth or other resources when an I/O stream is created that will always be applied to that I/O stream. The present system throttles at control points to distribute resources that are not co-located with the control point. A competition model is used with service time estimators in addition to estimated workload characteristics to determine which I/O needs to be throttled and the level of throttling required. A decision point issues throttling commands to enforcement points and selects which streams, and to what extent, need to be throttled.

System and method for utilizing informed throttling to guarantee quality of service to I/O streams

Provided are a method, system, and program for managing a network providing Input/Output (I/O) paths between a plurality of host systems and storage volumes in storage systems. An application service connection definition is provided for each connection from a host to a storage volume. At least one service level guarantee definition is provided indicating performance criteria to satisfy service requirements included in at least one service level agreement with at least one customer for network resources. Each service level guarantee definition is associated with at least one application service connection definition. Monitoring is performed as to whether Input/Output (I/O) requests transmitted through the multiple I/O paths satisfy performance criteria indicated in the service level guarantee definition associated with the I/O paths.

Method, system, and program for managing input/output (I/O) performance between host systems and storage volumes

A system for utilizing informed throttling to guarantee quality of service to a plurality of clients includes a server core having a performance analyzer that compares a performance level received by a client to a corresponding contracted service level and determines if the client qualifies as a victim whose received performance level is less than the corresponding contracted service level. The performance analyzer is further configured to identify one or more candidates for throttling in response to an I/O stream receiving insufficient resources by determining if the client qualifies as a candidate whose received performance level is better than the corresponding contracted service level. The server core further includes a scheduler that selectively and dynamically issues a throttling command to the candidate client, and provides a quality of service enforcement point by concurrently monitoring a plurality of I/O streams to candidate clients and concurrently throttling commands to the candidate clients.

Ramachandran Gopalakrishna Menon

Papers

Method for improving performance in a computer storage system by regulating resource requests from clients

Performance virtualization for large-scale storage systems

System and method for utilizing informed throttling to guarantee quality of service to I/O streams

Method, system, and program for managing input/output (I/O) performance between host systems and storage volumes

Utilizing informed throttling to guarantee quality of service to i/o streams