Abstract: Event-based data transfer scheduling using elastic network optimization criteria is provided. Bandwidth optimization criteria corresponding to different types of data transfer event scenarios are maintained, and based on recognizing a data transfer event scenario, a bandwidth optimization criteria is selected based on a type of the data transfer event scenario. A schedule for transferring data from a source to a target across the elastic network is determined according to the selected bandwidth optimization criteria, and the elastic network is used in transferring the data to the target storage location, where the using includes dynamically configuring elastic network bandwidth allocation from an elastic network service provider and initiating transfer of the data to the target storage location according to the schedule.

Abstract: Data transfer using flexible dynamic elastic network service provider relationships is provided. A relationship is dynamically established with an elastic network service provider of multiple available elastic network service providers to transfer a portion of the set of data to the target. Peering policies for each of the multiple elastic network service providers are checked, where a respective peering policy for each elastic network service provider includes respective bandwidth pricing information. Based on the bandwidth pricing information for each of the plurality of elastic network service providers, an elastic network service provider and a schedule are selected to use in transferring the portion to the target. The elastic network service provider is used in transferring the portion to the target, which includes dynamically configuring elastic network bandwidth allocation from the elastic network service provider and initiating transfer of the portion to the target according to the selected schedule.

Abstract: Controlled transfer of data over an elastic network is provided and includes analyzing properties of a set of data for transfer from a source storage location to a target storage location across an elastic cloud computing network as part of a staged transfer of the set of data, assigning transfer queue weightings to data subsets of the set of data based on weighting parameters, the transfer queue weightings dictating order of transfer of the data subsets from the source storage location to the target storage location, and controlling transfer of the data subsets from the source storage location to the target storage location consistent with the transfer queue weightings assigned to the data subsets, the controlling transfer including controlling, based on costs to transfer the data subsets, bandwidth allocation of the elastic cloud computing network and a transfer schedule for the data subsets.

Abstract: Dynamic quality of service for storage I/O port allocation is provided by obtaining indications of anticipated demand on a plurality of storage ports of a storage device of a data center, the anticipated demand being at least in part for storage input/output supporting transfer of data to or from a network, and dynamically adjusting storage port allocations based on the indications of anticipated demand and on real-time evaluation of workloads being serviced by the plurality of storage ports.

Abstract: An approach is provided for managing an allocation of a bandwidth of a dedicated channel in a network being utilized by an application performing a replication of data from a first to a second storage resource. Checks of parameters specified by the application are determined. The parameters include, but are not limited to, average compression ratio, compression ratio trend, throughput, throughput trend, and round trip time. Respective high and low threshold values for the parameters are determined. At least one of the checks of the parameters is executed, which determines a violation of a threshold value for one of the parameters. If the violation of the high threshold value is determined, an increase in the bandwidth is triggered. If the violation of the low threshold value is determined, a decrease in the bandwidth is triggered.

Abstract: A mechanism is provided for bandwidth-efficient virtual machine image delivery. Responsive to a request to generate a virtual machine (VM) in a node using an existing virtual machine image (VMI) file, a set of file chunks that constitute the VMI file is identified. The set of file chunks are retrieved from within a set of distributed nodes by establishing an optimized plan for retrieving the set of file chunks in a bandwidth-efficient manner. Responsive to retrieving the set of file chunks from within the distributed nodes, the set of file chunks are reassembled into the VMI file for generation of the VM.

Abstract: A mechanism is provided for bandwidth-efficient virtual machine image delivery. Responsive to a request to generate a virtual machine (VM) in a node using an existing virtual machine image (VMI) file, a set of file chunks that constitute the VMI file is identified. The set of file chunks are retrieved from within a set of distributed nodes by establishing an optimized plan for retrieving the set of file chunks in a bandwidth-efficient manner. Responsive to retrieving the set of file chunks from within the distributed nodes, the set of file chunks are reassembled into the VMI file for generation of the VM.

Abstract: An approach is provided for establishing a private network connection between source and target cloud data centers (CDCs). Requirements of the private network connection are received. Network service providers (NSPs) providing a network service to the source and target CDCs are determined. Performance information of respective NSPs is determined. Performance information of NSP(s) are determined to satisfy the requirements. One of the NSP(s) is selected based on the corresponding performance information optimally satisfying the requirements. First and second connection endpoints of the private network connection are generated in the source and target CDCs, respectively. Based on the first and second connection endpoints and responsive to a request from the target CDC to the selected NSP to attach the target CDC to the private network connection, the private network connection is established.

Abstract: A computer implemented method provisions optical wavelength connections. A set of applications is grouped to form a set of application groups. A single optical connection having a bandwidth is established through a management plane for each of the set of application groups. A set of persistent upper layer connections is then established for each of the set of application groups. The underlying optical connection is adjusted while preserving the state of the upper layer protocols.

Abstract: Network resources are provisioned within an application broker according to aggregated requests in an optical network. Resource requests are sorted to form sorted resource requests. The sorted resource requests are sorted according to destinations of the resource requests. The sorted resource requests are aggregated to form aggregated resource requests. Resource allocation is requested for each of the aggregated resource requests from a network border controller based on requirements of the set of set of aggregated resource requests. A set of allocated resources is received from the network border controller. The set of allocated resources is based on requirements of the aggregated resource requests. For each of the aggregated resource requests, network transmissions network receptions are executed utilizing associated allocated resources.

Abstract: Mechanisms for performing all-to-all comparisons on architectures having limited storage space are provided. The mechanisms determine a number of data elements to be included in each set of data elements to be sent to each processing element of a data processing system, and perform a comparison operation on at least one set of data elements. The comparison operation comprises sending a first request to main memory for transfer of a first set of data elements into a local memory associated with the processing element and sending a second request to main memory for transfer of a second set of data elements into the local memory. A pair wise comparison computation of the all-to-all comparison of data elements operation is performed at approximately a same time as the second set of data elements is being transferred from main memory to the local memory.

Abstract: A mobile device indexing system includes a plurality of edge nodes in communication with each other across a communication network and a plurality of mobile devices configured to communicate with the edge nodes. Each mobile device has both computing and communication functionalities. A separate mobile device index is maintained at each one of the plurality of edge nodes. Each mobile device index is a geographical spatio-temporal index having entries for a unique set of mobile devices derived from the plurality of mobile devices. Each unique set contains only mobile devices registered to the edge node associated with that mobile device index.

Abstract: A method of transmitting information to a receiving computer systems includes determining in a processing unit of a computer whether a receiving computer system can receive the information without converting a local format of the information into a canonical format of the information, if it is determined that the receiving computer system cannot receive the information without converting the local format into the canonical format, then converting the local format to the canonical format and transmitting the information to the receiving computer system, and if it is determined that the receiving computer system can receive the information without converting the local format into the canonical format, then transmitting the information to the receiving computer system.

Abstract: A common infrastructure collects diverse data and information from large numbers of mobile devices and traditional sensors at Internet scale to support multiple different applications simultaneously. The infrastructure includes a backend phenomenon layer that provides high level abstractions to applications such that they can express their data and information needs in a declarative fashion and coordinate the data collection and processing activities for all applications. An edge layer that manages devices, receives collection requirements from the backend layer, configures and instructs devices for data collection, and conducts aggregation and primitive processing of the data. This layer contains network edge nodes, such as base stations in a cellular network. Each node manages a set of local data generating networked devices. The device agent data layer using common agents on the data generating networked devices receives data collection instructions from the edge layer, performs data collection.

Abstract: A common infrastructure collects diverse data and information from large numbers of mobile devices and traditional sensors at Internet scale to support multiple different applications simultaneously. The infrastructure includes a backend phenomenon layer that provides high level abstractions to applications such that they can express their data and information needs in a declarative fashion and coordinate the data collection and processing activities for all applications. An edge layer that manages devices, receives collection requirements from the backend layer, configures and instructs devices for data collection, and conducts aggregation and primitive processing of the data. This layer contains network edge nodes, such as base stations in a cellular network. Each node manages a set of local data generating networked devices. The device agent data layer using common agents on the data generating networked devices receives data collection instructions from the edge layer, performs data collection.

Abstract: A common infrastructure collects data from a plurality of mobile devices and traditional sensors at Internet scale to respond to natural language queries received at different applications. The infrastructure includes a semantic interpreter to translate the natural language query to a data request specification that is processed by the data collection system. The data collection system includes a phenomenon layer that expresses data and information needs in a declarative fashion and coordinates data collection and processing for queries. An edge layer manages devices, receives collection requirements from the backend layer, configures and instructs devices for data collection, and conducts aggregation and primitive processing of data. This layer contains network edge nodes, such as base stations in a cellular network. Each node manages a set of local data generating networked devices.

Abstract: A common infrastructure collects data from a plurality of mobile devices and traditional sensors at Internet scale to respond to natural language queries received at different applications. The infrastructure includes a semantic interpreter to translate the natural language query to a data request specification that is processed by the data collection system. The data collection system includes a phenomenon layer that expresses data and information needs in a declarative fashion and coordinates data collection and processing for queries. An edge layer manages devices, receives collection requirements from the backend layer, configures and instructs devices for data collection, and conducts aggregation and primitive processing of data. This layer contains network edge nodes, such as base stations in a cellular network. Each node manages a set of local data generating networked devices.

Abstract: A method, information processing system, and computer program product manage virtual workspace migration. A set of information associated with a user is analyzed. A future virtual workspace demand associated with the user is predicted based on the analyzing. At least a portion of at least one virtual workspace associated with the user is migrated from a first location to at least a second location based on the future virtual workspace demand that has been predicted.

Abstract: A method for generating network traffic includes receiving packet header information and an optional packet payload. The received packet header information is arranged in accordance with a predetermined format. A packet of data including the packet payload and a packet header is formatted in accordance with the arranged header information. The predetermined format specifies a particular order in which packet headers are to be arranged.

Abstract: Network resources are provisioned within an application broker according to aggregated requests in an optical network. Resource requests are sorted to form sorted resource requests. The sorted resource requests are sorted according to destinations of the resource requests. The sorted resource requests are aggregated to form aggregated resource requests. Resource allocation is requested for each of the aggregated resource requests from a network border controller based on requirements of the set of set of aggregated resource requests. A set of allocated resources is received from the network border controller. The set of allocated resources is based on requirements of the aggregated resource requests. For each of the aggregated resource requests, network transmissions network receptions are executed utilizing associated allocated resources.