Patent application number | Description | Published |
20090019222 | METHOD AND SYSTEM FOR PLACEMENT OF LOGICAL DATA STORES TO MINIMIZE REQUEST RESPONSE TIME - Logical data stores are placed on storages to minimize store request time. The stores are sorted. A store counter and a storage counter are each set to one. (A), (B), and (C) are repeated until the storage counter exceeds the number of storages within the array. (A) is setting a load for the storage specified by the storage counter to zero. (B) is performing (i), (ii), and (iii) while the load for the storage specified by the storage counter is less an average determined load over all the storages. (i) is allocating the store specified by the store counter to the storage specified by the storage counter; and, (ii) is incrementing the load for this storage by this storage's request arrival rate multiplied by an expected service time for the requests of this store. (iii) is incrementing the store counter by one. (C) is incrementing the storage counter by one. | 01-15-2009 |
20090150456 | METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR DISASTER RECOVERY PLANNING - Formulating an integrated disaster recovery (DR) plan based upon a plurality of DR requirements for an application by receiving a first set of inputs identifying one or more entity types for which the plan is to be formulated, such as an enterprise, one or more sites of the enterprise, the application, or a particular data type for the application. At least one data container representing a subset of data for an application is identified. A second set of inputs is received identifying at least one disaster type for which the plan is to be formulated. A third set of inputs is received identifying a DR requirement for the application as a category of DR Quality of Service (QoS) class to be applied to the disaster type. A composition model is generated specifying one or more respective DR QoS parameters as a function of a corresponding set of one or more QoS parameters representative of a replication technology solution. The replication technology solution encompasses a plurality of storage stack levels. A solution template library is generated for mapping the application to each of a plurality of candidate replication technology solutions. The template library is used to select a DR plan in the form of a replication technology solution for the application. | 06-11-2009 |
20090150712 | METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR DISASTER RECOVERY PLANNING - Formulating an integrated disaster recovery (DR) plan based upon a plurality of DR requirements for an application by receiving a first set of inputs identifying one or more entity types for which the plan is to be formulated, such as an enterprise, one or more sites of the enterprise, the application, or a particular data type for the application. At least one data container representing a subset of data for an application is identified. A second set of inputs is received identifying at least one disaster type for which the plan is to be formulated. A third set of inputs is received identifying a DR requirement for the application as a category of DR Quality of Service (QoS) class to be applied to the disaster type. A composition model is generated specifying one or more respective DR QoS parameters as a function of a corresponding set of one or more QoS parameters representative of a replication technology solution. The replication technology solution encompasses a plurality of storage stack levels. A solution template library is generated for mapping the application to each of a plurality of candidate replication technology solutions. The template library is used to select a DR plan in the form of a replication technology solution for the application. | 06-11-2009 |
20090182784 | RECOVERY POINT IDENTIFICATION IN CDP ENVIRONMENTS - The embodiments of the invention provide a method of identifying a recovery point in a continuous data protection (CDP) log. More specifically, the method begins by detecting corrupted data in the CDP log and identifying the nature of corruption. Next, the nature of corruption is mapped to applications to identify components that may have caused the corrupted data. The method then finds a time instance of uncorrupted data in the components. Specifically, this can include searching CDP log entries in an order independent of log event age. Alternatively, the process of finding the time instance can include creating a data image of a first copy of uncorrupted data and sequentially apply entries of the CDP log until the corrupted data is reached. | 07-16-2009 |
20090307166 | METHOD AND SYSTEM FOR AUTOMATED INTEGRATED SERVER-NETWORK-STORAGE DISASTER RECOVERY PLANNING - An automated disaster recovery (DR) planning system for a computing environment is provided. A discovery module discovers servers, networks, and storage devices in a computing environment. An expert knowledge base module captures best practices in planning, and capabilities, interoperability, limitation and boundary values for different DR technologies. A match-making module determines multiple DR plans as combinations of one or more replication technologies that can be used to satisfy DR requirements. And, an optimizer configured for assessing a feasible DR plan from said multiple DR plans, to deploy for DR planning of a primary computing environment. | 12-10-2009 |
20100005173 | Method, system and computer program product for server selection, application placement and consolidation - A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins. The bin packing problem develops the recommended server configuration based on reducing a total acquisition cost while satisfying the constraints and the sizes of the applications. | 01-07-2010 |
20100011102 | METHOD FOR PLACING COMPOSITE APPLICATIONS IN A FEDERATED ENVIRONMENT - Techniques for placing at least one composite application in a federated environment are provided. The techniques include analyzing a composite application to be deployed in a federated environment, obtaining one or more application artifacts, analyzing feasibility of placing one or more application components at one or more clusters in the federated environment without knowledge of resource availability at each of the one or more clusters, and generating a mapping of the one or more application components to the one or more clusters such that an application requirement is met, wherein the one or more application artifacts are distributed across a federated environment. | 01-14-2010 |
20100106538 | DETERMINING DISASTER RECOVERY SERVICE LEVEL AGREEMENTS FOR DATA COMPONENTS OF AN APPLICATION - Techniques for determining one or more disaster recovery (DR) service level agreements (SLAs) for each of one or more components of an application are provided. The techniques include identifying one or more components of an application, capturing one or more intra-application data dependencies between the one or more components, and mapping each of the one or more components to a DR profile to determine one or more DR SLAs for each of the one or more components of an application. | 04-29-2010 |
20100180275 | TECHNIQUES FOR PLACING APPLICATIONS IN HETEROGENEOUS VIRTUALIZED SYSTEMS WHILE MINIMIZING POWER AND MIGRATION COST - N applications are placed on M virtualized servers having power management capability. A time horizon is divided into a plurality of time windows, and, for each given one of the windows, a placement of the N applications is computed, taking into account power cost, migration cost, and performance benefit. The migration cost refers to cost to migrate from a first virtualized server to a second virtualized server for the given one of the windows. The N applications are placed onto the M virtualized servers, for each of the plurality of time windows, in accordance with the placement computed in the computing step for each of the windows. In an alternative aspect, power cost and performance benefit, but not migration cost, are taken into account; there are a plurality of virtual machines; and the computing step includes, for each of the windows, determining a target utilization for each of the servers based on a power model for each given one of the servers; picking a given one of the servers with a least power increase per unit increase in capacity, until capacity has been allocated to fit all the virtual machines; and employing a first fit decreasing bin packing technique to compute placement of the applications on the virtualized servers. | 07-15-2010 |
20100332882 | MINIMIZING STORAGE POWER CONSUMPTION - Techniques for minimizing storage power consumption are provided. The techniques include generating one or more physical storage volumes and one virtual storage volume for each physical storage volume, creating a mapping from virtual storage volumes to physical storage volumes, determining input/output (I/O) access behavior of one or more applications using statistical analysis, and re-mapping the virtual to physical volume mapping based on the determined I/O access behavior of the one or more applications to minimize storage power consumption while meeting a required performance. | 12-30-2010 |
20110010222 | POINT-IN-TIME BASED ENERGY SAVING RECOMMENDATIONS - Energy saving efforts should not compromise data center performance. An energy management application can determine usage patterns in historical energy usage data based on statistical analysis and energy models. Energy savings recommendations can be generated for future points-in-time based on the usage patterns. Business constraints can be applied to the energy savings recommendations to ensure that the energy savings recommendations meet performance requirements. | 01-13-2011 |
20110016339 | Dynamic Selection of Server States - Techniques for dynamically selecting a server state for one or more servers in a cluster of servers are provided. The techniques include tracking each active and sleep state of each server in a cluster of servers, and selecting a server state for one or more servers in the cluster of servers to meet one or more workload level requirements of the cluster of servers, wherein selecting a server state for one or more servers comprises scheduling a transition between one or more active and sleep states for the one or more servers, wherein scheduling the transition comprises using power consumption information for each state and transition time information for each transition. | 01-20-2011 |
20110161470 | Method, System and Computer Program Product for Server Selection, Application Placement and Consolidation Planning of Information Technology Systems - A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins. The bin packing problem develops the recommended server configuration based on reducing a total acquisition cost while satisfying the constraints and the sizes of the applications. | 06-30-2011 |
20110191461 | SYSTEMS AND METHODS FOR USING WORKLOAD CHARACTERISTICS FOR SIZING AND PLACEMENT FOR POWER-AWARE CONSOLIDATION - Embodiments of the invention provide power savings via performing application workload consolidation to servers using off-peak values for application workload demand. Embodiments of the invention are designed to achieve significant power savings while containing performance risk associated with server consolidation. | 08-04-2011 |
20110238340 | Virtual Machine Placement For Minimizing Total Energy Cost in a Datacenter - Techniques for virtual machine placement in a datacenter are provided. The techniques include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized. | 09-29-2011 |
20120144219 | Method of Making Power Saving Recommendations in a Server Pool - A method, system and computer-usable medium are disclosed for optimizing the power consumption of a plurality of information processing systems. Historical usage data representing power usage of a plurality of information processing systems is retrieved in response to a request to generate power savings recommendations. Statistical analysis is performed on the historical usage data are to determine usage patterns, which are then further analyzed to determine repetitions of the usage patterns. In turn, the repetitions of the usage patterns are analyzed to generate power consumption management recommendations to initiate power consumption management actions at particular times. One or more business constraints are determined, which are used to generate constraints to the power consumption management recommendations. | 06-07-2012 |
20120174104 | Techniques for Placing Applications in Heterogeneous Virtualized Systems While Minimizing Power and Migration Cost - N applications are placed on M virtualized servers having power management capability. A time horizon is divided into a plurality of time windows, and, for each given one of the windows, a placement of the N applications is computed, taking into account power cost, migration cost, and performance benefit. The migration cost refers to cost to migrate from a first virtualized server to a second virtualized server for the given one of the windows. The N applications are placed onto the M virtualized servers, for each of the plurality of time windows, in accordance with the placement computed in the computing step for each of the windows. | 07-05-2012 |
20120311370 | Virtual Machine Placement For Minimizing Total Energy Cost in a Datacenter - Techniques for virtual machine placement in a datacenter are provided. The techniques include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized. | 12-06-2012 |
20120330700 | APPLICATION PLACEMENT AMONG A SET OF CONSOLIDATION SERVERS UTILIZING LICENSE COST AND APPLICATION WORKLOAD PROFILES AS FACTORS - Applications in a data center can be consolidated by identifying different combinations of software executing on hardware. The software can include a set of applications that execute upon a set of servers. The different combinations can have different arrangements of applications running on different ones of the servers. For each of the different combinations, a licensing cost, an operating cost, and a total cost can be calculated. The total cost of operation for each of the configurations can be calculated by summing the licensing costs, the operating costs adjusted for the cost savings for complementary workload patterns, and migration costs for adjusting a current configuration of the applications and servers to arrive at the configuration. The total cost results per configuration can be reported to a user for at least a set of the configurations. | 12-27-2012 |
20120331114 | APPLICATION PLACEMENT AMONG A SET OF CONSOLIDATION SERVERS UTILIZING LICENSE COST AND APPLICATION WORKLOAD PROFILES AS FACTORS - Applications in a data center can be consolidated by identifying different combinations of software executing on hardware. The software can include a set of applications that execute upon a set of servers. The different combinations can have different arrangements of applications running on different ones of the servers. For each of the different combinations, a licensing cost, an operating cost, and a total cost can be calculated. The total cost of operation for each of the configurations can be calculated by summing the licensing costs, the operating costs adjusted for the cost savings for complementary workload patterns, and migration costs for adjusting a current configuration of the applications and servers to arrive at the configuration. The total cost results per configuration can be reported to a user for at least a set of the configurations. | 12-27-2012 |
20130174146 | DYNAMICALLY SCALING MULTI-TIER APPLICATIONS IN A CLOUD ENVIRONMENT - A predicted workload of a multi-tier application is determined for a defined period of time. A change in application capacity is determined for the predicted workload. A scaling strategy is dynamically selected for the change in application capacity, in which the scaling strategy including vertical scaling and horizontal scaling. | 07-04-2013 |
20130174149 | DYNAMICALLY SCALING MULTI-TIER APPLICATIONS IN A CLOUD ENVIRONMENT - A predicted workload of a multi-tier application is determined for a defined period of time. A change in application capacity is determined for the predicted workload. A scaling strategy is dynamically selected for the change in application capacity, in which the scaling strategy including vertical scaling and horizontal scaling. | 07-04-2013 |
20130263120 | Virtual machine placement framework - A virtual machine placement framework is described to enable a data center operator to develop a placement scheme to satisfy its particular constraints while simultaneously optimizing resource utilization. To generate a placement solution, the virtual machine placement problem is first characterized as a “bin packing” problem. The framework provides simple interface tools and processing modules, and a pluggable architecture for receiving placement algorithms. To generate a solution, an administrator creates an XML representation that abstracts physical entities (e.g., data center, subnet, rack, physical server, and the like) into a hierarchical tree of bins. The administrator also defines a set of “rules” that govern (direct) the placement of the virtual machines by placing constraints on the placement scheme. Using the hierarchical tree and the rules, the framework is executed to generate a placement as a solution to a bin packing problem, preferably on a layer-by-layer basis. | 10-03-2013 |
20130305092 | Problem Determination and Diagnosis in Shared Dynamic Clouds - A method, an apparatus and an article of manufacture for problem determination and diagnosis in a shared dynamic cloud environment. The method includes monitoring each virtual machine and physical server in the shared dynamic cloud environment for at least one metric, identifying a symptom of a problem and generating an event based on said monitoring, analyzing the event to determine a deviation from normal behavior, and classifying the event as a cloud-based anomaly or an application fault based on existing knowledge. | 11-14-2013 |
20130305093 | Problem Determination and Diagnosis in Shared Dynamic Clouds - Techniques for problem determination and diagnosis in a shared dynamic cloud environment. A method includes monitoring each virtual machine and physical server in the shared dynamic cloud environment for at least one metric, identifying a symptom of a problem and generating an event based on said monitoring, analyzing the event to determine a deviation from normal behavior, and classifying the event as a cloud-based anomaly or an application fault based on existing knowledge. | 11-14-2013 |
20140047436 | IMAGE INSTANCE MAPPING - A method and system for image instance mapping is provided. The method includes receiving from change agents on virtual machine instances periodic monitoring data indicating changes for each virtual machine instance. The periodic monitoring data is analyzed and unique updates are applied to the virtual machine instances. High level semantic updates to the virtual machine instances are identified and updates associated with a golden master image are tracked. High level semantic updates to the golden master image are identified and in response, a version tree configured to track drift of each virtual machine instance with respect to golden master image is maintained. | 02-13-2014 |
20140146055 | USE OF SNAPSHOTS TO REDUCE RISK IN MIGRATION TO A STANDARD VIRTUALIZED ENVIRONMENT - During a process of migrating a source system into a standardized virtual environment, virtual machine instances of the source system executing in a hypervisor are snapshotted as virtual machine images in an operational repository of the hypervisor. The virtual machine images in the operational repository are short-term snapshots. From time to time during the migration process, long-term snapshots of the source system are created by checking given ones of the virtual machine images from the hypervisor operational repository into an image library as image objects. | 05-29-2014 |
20140149492 | ADJUSTMENT TO MANAGED-INFRASTRUCTURE-AS-A-SERVICE CLOUD STANDARD - An arbitrary customer instance is transferred from a customer environment to a target managed-infrastructure-as-a-service cloud environment as a transferred image. An image adjustment plan, capturing at least one adjustment required to render the transferred image compliant with standards of the target managed-infrastructure-as-a-service cloud environment, is formulated. The image adjustment plan is executed to adjust the transferred image to obtain an adjusted image compliant with standards of the target managed-infrastructure-as-a-service cloud environment. The adjusted image is on-boarded into the managed-infrastructure-as-a-service cloud environment as a standard image thereof. | 05-29-2014 |
20140208314 | Automatically Propagating Updates in a Data Center - Techniques, systems, and articles of manufacture for automatically propagating updates in a data center. A method includes dividing multiple virtual machines in a data center into one or more equivalence classes, wherein each equivalence class is based on a signature corresponding to an offline, online and/or manual update, automatically creating an offline and/or online virtual machine manifest for a first virtual machine of the multiple virtual machines based on one or more file system changes during the offline, online and/or manual update for the first virtual machine, wherein said manifest is applicable to each additional virtual machine in the same equivalence class as the first virtual machine, and applying the offline and/or online virtual machine manifest for the first virtual machine to the remaining multiple virtual machines in the same equivalence class to automatically update the remaining multiple virtual machines in the same equivalence class. | 07-24-2014 |
20140245292 | Automated Application Reconfiguration - Techniques, systems, and articles of manufacture for automated application reconfiguration. A method includes identifying, for each of one or more configuration files in a pre-configured source virtual machine, a corresponding configuration file in a target virtual machine, identifying one or more mis-configured and/or missing points of variability in the one or more identified configuration files in the target virtual machine based on information derived from the one or more configuration files in the source virtual machine, and reconfiguring the target virtual machine by replacing each identified mis-configured point of variability with a given value based on the information derived from the one or more configuration files in the source virtual machine, and adding each identified missing point of variability at a given location with a given value and a given format based on the information derived from the one or more configuration files in the source virtual machine. | 08-28-2014 |
20150058054 | Modularly Managed Service Platform - A service method and associated system is provided. The method includes generating event types for events and services associated with the events. Virtual or physical machines associated with the services are provisioned and a message associated with a first event is published. The message is routed to a queue of a second service and the second service is notified of the message. The services are enabled and a selection for a sub-set of the services is received. The selection is enabled. | 02-26-2015 |
20150067283 | Image Deduplication of Guest Virtual Machines - Methods, systems, and articles of manufacture for image deduplication of guest virtual machines are provided herein. A method includes implementing a shared image file on a host server, transparently consolidating multiple duplicate blocks across multiple virtual machines on the shared image file, and creating a merged data path for the multiple virtual machines via the shared image file based on the multiple consolidated duplicate blocks. | 03-05-2015 |