Abstract: Systems and methods for increasing a user's task performance and personal wellbeing resulting from caring for indoor plants are disclosed. Internet-of-Things sensors and devices monitor measurements relating to environmental factors and a user's care patterns associated with designated indoor plants. User-performance sensors and devices measure the user's wellbeing and the user's task performance, both in caring for the plants and in other productivity-driven tasks. Recommendations for the plant care and prescriptions for the users are generated using machine-learning models and provided to the user through notifications to alter the user's behavior in a desirable way, both in plant care and in real-world task performance.

Abstract: A system and method for reordering storage levels in a virtualized environment includes identifying a virtual machine (VM) to be transitioned and determining a new storage level order for the VM. The new storage level order reduces a VM live state during a transition, and accounts for hierarchical shared storage memory and criteria imposed by an application to reduce recovery operations after dynamic resource allocation actions. The new storage level order recommendation is propagated to VMs. The new storage level order applied in the VMs. A different storage-level order is recommended after the transition.

Abstract: A system and method for reordering storage levels in a virtualized environment includes identifying a virtual machine (VM) to be transitioned and determining a new storage level order for the VM. The new storage level order reduces a VM live state during a transition, and accounts for hierarchical shared storage memory and criteria imposed by an application to reduce recovery operations after dynamic resource allocation actions. The new storage level order recommendation is propagated to VMs. The new storage level order applied in the VMs. A different storage-level order is recommended after the transition.

Abstract: A system and method for reordering storage levels in a virtualized environment includes identifying a virtual machine (VM) to be transitioned and determining a new storage level order for the VM. The new storage level order reduces a VM live state during a transition, and accounts for hierarchical shared storage memory and criteria imposed by an application to reduce recovery operations after dynamic resource allocation actions. The new storage level order recommendation is propagated to VMs. The new storage level order applied in the VMs. A different storage-level order is recommended after the transition.

Abstract: A technique is provided for creating virtual units in a computing environment. A virtual system definition is received by a processor that is utilized to create the virtual units for a virtual system. Relationship constraints between the virtual units in the virtual system are received by the processor. The relationship constraints between the virtual units include a communication link requirement between the virtual units and/or a location requirement between the virtual units. The virtual units in the virtual system are deployed by the processor according to the relationship constraints between virtual units.

Abstract: Described herein are methods, systems, apparatuses and products for cost-aware replication of intermediate data in dataflows. An aspect provides receiving at least one measurement indicative of a reliability cost associated with executing a dataflow; computing a degree of replication of at least one intermediate data set in the dataflow based on the reliability cost; and communicating at least one replication factor to at least one component of a system responsible for replication of the at least one intermediate data set in the dataflow; wherein the at least one intermediate data set is replicated according to the replication factor. Other embodiments are disclosed.

Abstract: A system and method for reordering storage levels in a virtualized environment includes identifying a virtual machine (VM) to be transitioned and determining a new storage level order for the VM. The new storage level order reduces a VM live state during a transition, and accounts for hierarchical shared storage memory and criteria imposed by an application to reduce recovery operations after dynamic resource allocation actions. The new storage level order recommendation is propagated to VMs. The new storage level order applied in the VMs. A different storage-level order is recommended after the transition.

Abstract: A method and structure for processing an application program on a computer. In a memory of the computer executing the application, an in-memory cache structure is provided for normally temporarily storing data produced in the processing. An in-memory storage outside the in-memory cache structure is provided in the memory, for by-passing the in-memory cache structure for temporarily storing data under a predetermined condition. A sensor detects an amount of usage of the in-memory cache structure used to store data during the processing. When it is detected that the amount of usage exceeds the predetermined threshold, the processing is controlled so that the data produced in the processing is stored in the in-memory storage rather than in the in-memory cache structure.

Abstract: A method, system and computer program product for storing data in memory. An example system includes at least one multistage application configured to generate intermediate data in a generating stage of the application and consume the intermediate data in a subsequent consuming stage of the application. A runtime profiler is configured to monitor the application's execution and dynamically allocate memory to the application from an in-memory data grid.

Abstract: A technique is provided for creating virtual units in a computing environment. A virtual system definition is received by a processor that is utilized to create the virtual units for a virtual system. Relationship constraints between the virtual units in the virtual system are received by the processor. The relationship constraints between the virtual units include a communication link requirement between the virtual units and/or a location requirement between the virtual units. The virtual units in the virtual system are deployed by the processor according to the relationship constraints between virtual units.

Abstract: A method and structure for processing an application program on a computer. In a memory of the computer executing the application, an in-memory cache structure is provided for normally temporarily storing data produced in the processing. An in-memory storage outside the in-memory cache structure is provided in the memory, for by-passing the in-memory cache structure for temporarily storing data under a predetermined condition. A sensor detects an amount of usage of the in-memory cache structure used to store data during the processing. When it is detected that the amount of usage exceeds the predetermined threshold, the processing is controlled so that the data produced in the processing is stored in the in-memory storage rather than in the in-memory cache structure.

Abstract: Described herein are methods, systems, apparatuses and products for cost-aware replication of intermediate data in dataflows. An aspect provides receiving at least one measurement indicative of a reliability cost associated with executing a dataflow; computing a degree of replication of at least one intermediate data set in the dataflow based on the reliability cost; and communicating at least one replication factor to at least one component of a system responsible for replication of the at least one intermediate data set in the dataflow; wherein the at least one intermediate data set is replicated according to the replication factor. Other embodiments are disclosed.

Abstract: A system and method for reordering storage levels in a virtualized environment includes identifying a virtual machine (VM) to be transitioned and determining a new storage level order for the VM. The new storage level order reduces a VM live state during a transition, and accounts for hierarchical shared storage memory and criteria imposed by an application to reduce recovery operations after dynamic resource allocation actions. The new storage level order recommendation is propagated to VMs. The new storage level order applied in the VMs. A different storage-level order is recommended after the transition.

Abstract: A method, system and computer program product for storing data in memory. An example system includes at least one multistage application configured to generate intermediate data in a generating stage of the application and consume the intermediate data in a subsequent consuming stage of the application. A runtime profiler is configured to monitor the application's execution and dynamically allocate memory to the application from an in-memory data grid.

Abstract: A method, system and computer program product for distributing intermediate data of a multistage computer application to a plurality of computers. In one embodiment, a data manager calculates data usage demand of generated intermediate data. A computer manager calculates a computer usage, which is the sum of all data usage demand of each stored intermediate data at the computer. A scheduler selects a target computer from the plurality of computers for storage of the generated intermediate data at such that a variance of the computer usage demand across the plurality of computers is minimized.

Abstract: A method, system and computer program product for distributing intermediate data of a multistage computer application to a plurality of computers. In one embodiment, a data manager calculates data usage demand of generated intermediate data. A computer manager calculates a computer usage, which is the sum of all data usage demand of each stored intermediate data at the computer. A scheduler selects a target computer from the plurality of computers for storage of the generated intermediate data at such that a variance of the computer usage demand across the plurality of computers is minimized.

Abstract: A method for cloning a running component from a first machine to a second machine is provided. The method includes: iteratively coping a state of the running component from the first machine to the second machine to generate a copy of the running component on the second machine; assigning the copy of the running component on the second machine an external address that is distinct from an internal address; and mapping communications to and from the copy of the running component based on the distinct external address and the internal address.