Abstract: An electronic shopping cart of a user is presented in a first interface during checkout, such as one allowing scrolling through representations of items in a shopping list in a first direction. On selection of an item, a second interface is displayed of a “shelf” for the selected item, the shelf including related items such as might be located on a same shelf as the selected result in a retail location. The second interface may allow scrolling in a second direction perpendicular to the first direction. Items in the second interface may be selected and either added to the electronic shopping cart or used to replace the selected item.

Abstract: Executable code of an application package is decompiled to provide a decompiled application package. Features of the application package are identified based on content of the decompiled application package. A set of wrapper logic components are selected from among a library of wrapper logic components based on the features of the application package. The decompiled application package is disassembled to provide disassembled code. Wrapper program hooks are inserted into the disassembled code to provide modified disassembled code. The modified disassembled code is assembled to provide modified assembled code. The wrapper logic components of the set are combined with the modified assembled code to form a wrapped application package including executable code from the modified assembled code and executable code from the wrapper logic components of the set that intercept calls by the executable code from the modified assembled code.

Abstract: Techniques for managing software licensing cost information are disclosed. In one embodiment, license data including licensing cost information associated with a product may be obtained. A license key for the product may be generated by encrypting the license data using an encryption key. The license key and a decryption key may be provided to a management tool associated with a client device. The management tool may be enabled to decrypt the license key using the decryption key to track the licensing cost information associated with the product.

Abstract: This disclosure relates generally to computer resource management over multiple cloud platforms, and more particularly to a system and method for provisioning of application environment and deployment of application across hybrid cloud platform. In one embodiment, a method is provided for provisioning an application environment across a hybrid cloud platform. The method comprises generating a platform independent provisioning template based on at least one of a resource specification and a configuration data. The platform independent provisioning template is compatible with multiple cloud platforms.

Abstract: Methods and systems are directed to allocating costs of storage arrays to logical disks. A fully loaded cost of storage of a storage area network (“SAN”) is calculated based on capital and operational expenditures of the SAN. Data is stored in the SAN in logical groups partitioned into logical disks. The unit rates of the logical groups are calculated from the capacities and utilization of the storage arrays that form the SAN. The unit rate of a logical disk is the unit rate the logical group to which the logical disk belongs. The storage cost of each logical disk is calculated from the unit rate of the logical disk and the utilized capacity of the logical disk. Methods also calculate cost of unallocated capacities of the logical disks, storage arrays, and the SAN, in order to evaluate efficient use of the SAN storage resources.

Abstract: Methods and apparatus to select virtualization environments are disclosed. An example apparatus includes a logic circuit, a workload analyzer to determine characteristics of a virtualized application, a score generator to compare the characteristics of the virtualized application to a plurality of virtualization environment types to determine scores for each of the plurality of virtualization environment types, the scores based on rules that identify different scores for combinations of characteristics and virtualization environment types, and a workload deployer to deploy the virtualized application using one of the plurality of virtualization environment types based on the scores.

Abstract: A method includes performing operations on a processor of an application analysis computer. The operations include receiving reports from user terminals containing identifiers for operational states of an application being processed by the user terminals and containing state performance metrics. Each of the state performance metrics indicates a measurement of performance for a corresponding identified one of the operational states of the application being processed by one of the user terminals. The operations further include, for each of the operational states of the application identified in the reports, generating a rule for acceptable performance of the operational state of the application based on the state performance metrics of the operational state reported by the user terminals. The operations further include storing in a repository the rules associated with identifiers for corresponding ones of the operational states of the application. Related operations by a user terminal are disclosed.

Abstract: Systems and techniques are described for generating test cases. In one example, a manual test of code is performed. The manual test uses proxy code to detect at least one input to the code and a data transfer between the code and other code. The data transfer includes an input to the other code and an output from the other code. A file is generated that includes the at least one input to the code, the input to the other code, the output from the other code, and data that specifies that the manual test of the code resulted in an expected output. A mock test automates the manual test of the code based at least in part on the file.

Abstract: Methods and apparatus to select virtualization environments are disclosed. An example method includes determining, via a processor, characteristics of a virtualized application that is awaiting deployment, analyzing, via the processor, the characteristics of the virtualized application to select a subset of virtualization environments that are capable of executing the virtualized application, the subset of virtualization environments selected from a set of virtualization environments of different virtualization environment types used in the datacenter, comparing, via the processor, the characteristics of the virtualized application to the virtualization environments of the subset of virtualization environments to determine scores for the virtualization environments, and deploying the virtualized application in the virtualization environment based on the scores.

Abstract: This disclosure presents computational systems and methods that allocate cost of resources of a cluster of server computers used by virtual machines in a virtual data center. In one aspect, a fair unit rate is computed based on the larger of a measured average utilization or an expected utilization of a cluster resource of server computers within a physical data center by virtual machines. The fair unit rate is a cost per unit of resource used over a period of time and is used to compute an allocated cost of the virtual machine usage of the cluster resource.

Abstract: An OS API mapping computer operates to identify a set of OS APIs of a first OS version not present in a second OS version. OS APIs of the second OS version are identified that satisfy a defined rule for compatibility with the set of OS APIs of the first OS version not present in the second OS version. An OS APIs replacement list is generated that maps individual ones of the set of OS APIs of the first OS version, to corresponding ones of the OS APIs of the second OS version that satisfy the defined rule. A set is identified of OS APIs of an application that are in the OS APIs replacement list among the set of OS APIs of the first OS version. A plugin is generated based on the OS APIs of the second OS version mapped to the set of application OS APIs.

Abstract: Systems and techniques are described for generating test cases. A described technique includes monitoring a manual test of a code portion. The monitoring can include identifying one or more performed operations performed during the manual test. A seed file can be generated that includes data describing the one or more performed operations. A mock test can be generated for the code portion using the seed file. The mock test can include one or more mock operations that match the one or more performed operations. The mock test can be performed on the code portion, including performing the one or more mock operations using the code portion.

Abstract: A method includes performing operations on a processor of an application analysis computer. The operations include receiving state performance metrics reported by user terminals via a data network. Each of the state performance metrics indicating a measurement of performance of one of a plurality of operational states of an application processed by one of the user terminals. The operations further include determining when one of the state performance metrics reported by one of the user terminals violates a rule for acceptable operational state performance of the application, and communicating a response message to the one of the user terminals responsive to the determination that the one of the state performance metrics violates the rule. Related operations by a user terminal are disclosed.

Abstract: The present disclosure is related to methods, systems, and machine-readable media for allocating cost of disk usage to a linked clone virtual machine (VM). A determination can be made as to a number of disks used by a linked clone VM, among the disks in a software defined data center, over a time period. In some examples, a cost for a total usage of the number of disks over the time period can be allocated to the linked clone VM, regardless of whether the total usage over the time period includes usage by other VMs. In some examples, a cost for a total usage of the number of disks over the time period can be allocated to the linked clone VM, in proportion to the number of VMs that use the disk regardless of relative usage of the disk by each of the number of VMs.

Abstract: Methods and apparatus to select virtualization environments are disclosed. An example method includes determining, via a processor, characteristics of a virtualized application that is deployed in an existing virtualization environment. analyzing, via the processor, the characteristics of the virtualized application to select a subset of virtualization environments that are capable of executing the virtualized application, the subset of virtualization environments selected from a set of virtualization environments of different virtualization environment types used in the datacenter, comparing, via the processor, the characteristics of the virtualized application to the virtualization environments of the subset of virtualization environments to determine scores for the virtualization environments, and migrate the virtualized application from the existing virtualization environment to a new virtualization environment based on the scores.

Abstract: Systems and methods for controlling a clearance between a rotor and a stator of a steam turbine during transient operations rely upon heating or cooling a shell support structure of the steam turbine that supports the stator of the steam turbine. Selectively heating or cooling the shell support structure makes it possible for thermal growth/contraction rates and magnitudes of the shell support structure to better match the thermal growth/contraction rates and magnitudes of a bearing support structure of the steam turbine during transient operations. As a result, the clearance between the rotor and the stator of the steam turbine can be maintained.

Abstract: Methods and systems are directed to allocating costs of storage arrays to logical disks. A fully loaded cost of storage of a storage area network (“SAN”) is calculated based on capital and operational expenditures of the SAN. Data is stored in the SAN in logical groups partitioned into logical disks. The unit rates of the logical groups are calculated from the capacities and utilization of the storage arrays that form the SAN. The unit rate of a logical disk is the unit rate the logical group to which the logical disk belongs. The storage cost of each logical disk is calculated from the unit rate of the logical disk and the utilized capacity of the logical disk. Methods also calculate cost of unallocated capacities of the logical disks, storage arrays, and the SAN, in order to evaluate efficient use of the SAN storage resources.

Abstract: Methods and systems of determining an optimum power-consumption profile for virtual machines running in a data center are disclosed. In one aspect, a power-consumption profile of a virtual machine and a unit-rate profile of electrical power cost over a period are received. The methods determine an optimum power-consumption profile based on the power-consumption profile and the unit-rate profile. The optimum power-consumption profile may be used reschedule the virtual machine over the period.

Abstract: Methods and systems allocate storage costs to virtual machines (“VMs”) in a virtual data center. Methods calculate a datastore-base rate based on datastore utilized-storage capacity in each LD and each LD-base rate when the datastore utilized-storage capacity and each LD-base rate are available. Datastore total cost is calculated by multiplying the datastore-base rate by the datastore utilized-storage capacity. Methods also use graph based methods to calculate datastore-base rates when the datastore utilized-storage capacity is unknown for each LD. The datastore-base rate associated with each datastore may then be used to calculate a VM storage cost of each VM hosted by a datastore.

Abstract: A power distribution unit having a power supply inputs including mains, secondary, generator, and renewable can be configured to measure how much power is drawn from each of the power supply inputs over a time period and to provide data to a unit rate of power engine indicating the same. A cost information engine can be configured to provide cost information, applicable over the time period, for each of the power supply inputs to the unit rate of power engine. The unit rate of power engine can be configured to compute the unit rate of power consumed in the data center over the time period based on the power drawn from each of the power supply inputs and the cost information.