Abstract: A computer-implemented method includes identifying a set of anomalies during a runtime of a first set of replica application containers. The computer-implemented method further includes determining a root cause of the set of anomalies based, at least in part, on comparing uniform resource identifier (URI) requests generated by each replica application container in the set of replica application containers. The computer-implemented method further includes determining a first set of URI requests can be dropped, wherein each URI request in the first set of URI requests includes the root cause of the set of anomalies. The computer-implemented method further includes dropping the first set of URI requests during the runtime of the first set of replica application containers. A corresponding computer system and computer program product are also disclosed.

Abstract: A computer-implemented method includes identifying a set of anomalies during a runtime of a first set of replica application containers. The computer-implemented method further includes determining a root cause of the set of anomalies based, at least in part, on comparing uniform resource identifier (URI) requests generated by each replica application container in the set of replica application containers. The computer-implemented method further includes determining a first set of URI requests can be dropped, wherein each URI request in the first set of URI requests includes the root cause of the set of anomalies. The computer-implemented method further includes dropping the first set of URI requests during the runtime of the first set of replica application containers. A corresponding computer system and computer program product are also disclosed.

Abstract: Optimization of mobile telecommunications service during a power outage at one or more base stations, wherein optimization includes identifying one or more of a plurality of base stations to which non-emergency electrical power has been interrupted; determining an initial number of users in areas corresponding to the one or more of the plurality of base stations; generating a user location probability model and a user call probability model; scheduling initial battery power operation for the plurality of base stations; monitoring user calls and user movement after the battery power operation has started; updating the user location probability model and the user call probability model based on the monitoring; and updating battery power operation scheduling for the plurality of base stations.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

Abstract: Optimization of mobile telecommunications service during a power outage at one or more base stations, wherein optimization includes identifying one or more of a plurality of base stations to which non-emergency electrical power has been interrupted; determining an initial number of users in areas corresponding to the one or more of the plurality of base stations; generating a user location probability model and a user call probability model; scheduling initial battery power operation for the plurality of base stations; monitoring user calls and user movement after the battery power operation has started; updating the user location probability model and the user call probability model based on the monitoring; and updating battery power operation scheduling for the plurality of base stations.

Abstract: Optimization of mobile telecommunications service during a power outage at one or more base stations, wherein optimization includes identifying one or more of a plurality of base stations to which non-emergency electrical power has been interrupted; determining an initial number of users in areas corresponding to the one or more of the plurality of base stations; generating a user location probability model and a user call probability model; scheduling initial battery power operation for the plurality of base stations; monitoring user calls and user movement after the battery power operation has started; updating the user location probability model and the user call probability model based on the monitoring; and updating battery power operation scheduling for the plurality of base stations.

Abstract: A computer-implemented method is provided for container sharing and scheduling in an environment having a plurality of nodes. The method includes deploying a container management service system that manages a list of layered images. The list specifies one or more container attributes for each layered image stored at the nodes. The method includes selecting, by a processor-based scheduler of the container management system based on the list of layered images, a given one of the nodes which (i) includes image layers residing in a container and (ii) communicates with one or more candidate nodes that include one or more missing image layers. The candidate nodes are determined from among the nodes based on one or more availability criterion. The method includes pulling the one, or more missing image layers horn the candidate nodes and copying the one or more missing image layers to the given one of the nodes.

Abstract: A computer-implemented method is provided for container sharing and scheduling in an environment having a plurality of nodes. The method includes deploying a container management service system that manages a list of layered images. The list specifies one or more container attributes for each layered image stored at the nodes. The method includes selecting, by a processor-based scheduler of the container management system based on the list of layered images, a given one of the nodes which (i) includes image layers residing in a container and (ii) communicates with one or more candidate nodes that include one or more missing image layers. The candidate nodes are determined from among the nodes based on one or more availability criterion. The method includes pulling the one or more missing image layers from the candidate nodes and copying the one or more missing image layers to the given one of the nodes.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

Abstract: A method for scheduling a deployment in a first server and a second server identifies a succeeding task out of tasks deployed in the first server. The succeeding task is a task required to wait for an end of a preceding task. The preceding task is one of tasks deployed in the second server. The method sets a wait task in a process of the deployment in the first server. The wait task is a task to wait for an execution timing of the succeeding task. The method decides an execution timing of the wait task on a basis of an overlapping time of a first download task and a second download task. The first download task is one of the tasks deployed in the first server. The second download task is one of the tasks deployed in the second server.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

Abstract: Optimization of mobile telecommunications service during a power outage at one or more base stations, wherein optimization includes identifying one or more of a plurality of base stations to which non-emergency electrical power has been interrupted; determining an initial number of users in areas corresponding to the one or more of the plurality of base stations; generating a user location probability model and a user call probability model; scheduling initial battery power operation for the plurality of base stations; monitoring user calls and user movement after the battery power operation has started; updating the user location probability model and the user call probability model based on the monitoring; and updating battery power operation scheduling for the plurality of base stations.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

Abstract: A method for emergency communication includes encoding a message for visual display including a message to field and a message from field. The visual display is revealed to a reading device in communication with a broadcast center, which stores the visual display. The messages are decoded and sorted from visual displays at the broadcast center. On an index channel, a time and channel number for when a message body of the message will be broadcast on a message channel is broadcasted. The message body is broadcasted on the message channel.

Abstract: A method for scheduling a deployment in a first server and a second server identifies a succeeding task out of tasks deployed in the first server. The succeeding task is a task required to wait for an end of a preceding task. The preceding task is one of tasks deployed in the second server. The method sets a wait task in a process of the deployment in the first server. The wait task is a task to wait for an execution timing of the succeeding task. The method decides an execution timing of the wait task on a basis of an overlapping time of a first download task and a second download task. The first download task is one of the tasks deployed in the first server. The second download task is one of the tasks deployed in the second server.

Abstract: Optimization of mobile telecommunications service during a power outage at one or more base stations, wherein optimization includes identifying one or more of a plurality of base stations to which non-emergency electrical power has been interrupted; determining an initial number of users in areas corresponding to the one or more of the plurality of base stations; generating a user location probability model and a user call probability model; scheduling initial battery power operation for the plurality of base stations; monitoring user calls and user movement after the battery power operation has started; updating the user location probability model and the user call probability model based on the monitoring; and updating battery power operation scheduling for the plurality of base stations.

Abstract: Systems and methods for predicting execution paths of at least one target program of a plurality of programs that are run in parallel are described. In one method, execution flows of programs are generated. In addition, the programs are executed to obtain debug logs from the programs. Further, communication messages transmitted between the execution flows are identified from the debug logs. A deduction that at least one conditional branch was taken in at least one given execution flow of the first execution flows by the target program is made based on the communication messages. Based on the deduction, at least one conditional branch that was not taken is removed from the given execution flow. In addition, modified execution flows that were modified in accordance with the removal are output to indicate predicted execution paths of the target program.

Abstract: Optimization of mobile telecommunications service during a power outage at one or more base stations, wherein optimization includes identifying one or more of a plurality of base stations to which non-emergency electrical power has been interrupted; determining an initial number of users in areas corresponding to the one or more of the plurality of base stations; generating a user location probability model and a user call probability model; scheduling initial battery power operation for the plurality of base stations; monitoring user calls and user movement after the battery power operation has started; updating the user location probability model and the user call probability model based on the monitoring; and updating battery power operation scheduling for the plurality of base stations.