Patent application number | Description | Published |
20130191528 | AUTOMATICALLY SELECTING APPROPRIATE PLATFORM TO RUN APPLICATION IN CLOUD COMPUTING ENVIRONMENT - A method, system and computer program product for selecting an appropriate platform to run an application deployed in a cloud computing environment. The appropriate platform is selected by employing a two phase process, where the first phase occurs prior to the deployment of the application and the second phase occurs after the application has been deployed. In the first phase, the cloud computing node selects a platform using various factors, such as application binaries, application metadata and artifacts, and qualities of service and application requirements. In the second phase, the cloud computing node determines whether an alternative platform needs to be implemented for subsequent deployments of the application using various factors, such as application runtime metrics and garbage collection metrics. In this manner, an appropriate platform is automatically selected thereby removing the requirement for the user to indicate the type of platform for the target environment. | 07-25-2013 |
20130191826 | AUTOMATICALLY SELECTING OPTIMAL TRANSPORT PROTOCOL IN A CLOUD COMPUTING ENVIRONMENT - A method, system and computer program product for selecting an optimal transport protocol in a cloud computing environment. An application creates a socket to communicate with a destination Virtual Machine (VM). The application requests a daemon agent to query a virtual machine manager to determine if the destination VM is on the same hypervisor as the application. The daemon agent receives a VMCI address (“context ID”) and an indication of the hypervisor associated with the destination VM from the virtual machine manager. The daemon agent enables the transport layer to route traffic over the VMCI protocol to the destination VM using its context ID in response to the destination VM being on the same hypervisor as the application. In this manner, the application is able to route traffic using an optimal transport protocol, including VMCI, depending on peer hypervisor association without requiring any code modifications to the application. | 07-25-2013 |
20130227132 | AUTOMATICALLY SELECTING APPROPRIATE PLATFORM TO RUN APPLICATION IN CLOUD COMPUTING ENVIRONMENT - A method, system and computer program product for selecting an appropriate platform to run an application deployed in a cloud computing environment. The appropriate platform is selected by employing a two phase process, where the first phase occurs prior to the deployment of the application and the second phase occurs after the application has been deployed. In the first phase, the cloud computing node selects a platform using various factors, such as application binaries, application metadata and artifacts, and qualities of service and application requirements. In the second phase, the cloud computing node determines whether an alternative platform needs to be implemented for subsequent deployments of the application using various factors, such as application runtime metrics and garbage collection metrics. In this manner, an appropriate platform is automatically selected thereby removing the requirement for the user to indicate the type of platform for the target environment. | 08-29-2013 |
20130247041 | AUTOMATICALLY SELECTING OPTIMAL TRANSPORT PROTOCOL IN A CLOUD COMPUTING ENVIRONMENT - A method, system and computer program product for selecting an optimal transport protocol in a cloud computing environment. An application creates a socket to communicate with a destination Virtual Machine (VM). The application requests a daemon agent to query a virtual machine manager to determine if the destination VM is on the same hypervisor as the application. The daemon agent receives a VMCI address (“context ID”) and an indication of the hypervisor associated with the destination VM from the virtual machine manager. The daemon agent enables the transport layer to route traffic over the VMCI protocol to the destination VM using its context ID in response to the destination VM being on the same hypervisor as the application. In this manner, the application is able to route traffic using an optimal transport protocol, including VMCI, depending on peer hypervisor association without requiring any code modifications to the application. | 09-19-2013 |
20150199136 | METHOD AND SYSTEM FOR MONITORING AND ANALYZING QUALITY OF SERVICE IN A STORAGE SYSTEM - Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes are provided. QOS data is collected for the plurality of storage volumes and includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. An expected range for future QOS data based on the collected QOS data is generated. The process then determines a deviation of each potential bully storage volume of a resource used by any victim storage volume, where the deviation of each bully storage volume is based on a number of current I/O requests (IOPS) that are processed by each potential bully storage volume, a forecasted value of TOPS and a predicted upper threshold TOPS value for each potential bully storage volume; and filters the potential bully storage volumes based on an impact of each potential bully storage volume. | 07-16-2015 |
20150199141 | METHOD AND SYSTEM FOR MONITORING AND ANALYZING QUALITY OF SERVICE IN A METRO-CLUSTER - Methods and systems for inter-cluster storage system monitoring and analysis are provided. The method includes monitoring a non-volatile memory delay center for a first storage cluster having a first node and a second node configured to operate as a first high availability pair, where data for a write request to write data to the first node is also written to the second node as well as to a second cluster having a third node and a fourth node, where the third node and the fourth node are also configured to operate as a second high availability pair to store the data for the write request at one or both of the third and fourth node. The non-volatile memory delay center is used to monitor and detect latency due to any delay caused by a non-volatile memory of the first node used as a write cache. | 07-16-2015 |
20150199148 | METHOD AND SYSTEM FOR MONITORING AND ANALYZING QUALITY OF SERVICE IN A STORAGE SYSTEM - Methods and systems for monitoring quality of service (QOS) data for a plurality of storage volumes from a storage operating system of a storage system are provided. A performance manager collects the QOS data from the storage operating system and the QOS data includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. An expected range for future QOS data is generated based on the collected QOS data. The QOS data is monitored for each storage volume for determining whether a current QOS data for each storage volume is within the expected range. | 07-16-2015 |
20150199388 | METHOD AND SYSTEM FOR MONITORING AND ANALYZING QUALITY OF SERVICE IN A STORAGE SYSTEM - Methods and systems for identifying a victim storage volume from among a plurality of storage volumes based on a comparison of current Quality of Service (QOS) data with a dynamic threshold value that is based on historical QOS collected data for the plurality of storage volumes are provided. A performance manager collects the current and historical QOS data from a storage operating system of the storage system, which includes a response time in which each of the plurality of storage volumes respond to an input/output (I/O) request. The current and historical QOS data for the resources used by the victim storage volume are retrieved and compared with the current QOS data of each resource to an expected range based on the historical QOS data. Another storage volume is identified as a bully when its usage of a resource in contention contributes to creating the victim storage volume. | 07-16-2015 |
20150201017 | METHOD AND SYSTEM FOR PRESENTING STORAGE IN A CLOUD COMPUTING ENVIRONMENT - Methods and systems for presenting a plurality of options to a client for using storage space in a cloud computing environment are provided. Each option is associated with a latency target and/or a throughput target. The latency target provides a delay in processing input/output (I/O) requests and the throughput target provides a number of I/O requests that are processed within a unit of time. An existing volume is assigned to the client when the existing volume meets a guaranteed latency target and/or a guaranteed throughput target for an option selected from the plurality of options, otherwise a new volume is allocated. | 07-16-2015 |