International Business Machines Corporation

William Francis Jerome

Maria Rene Ebling

Vijay Krishnarao Naik

John Arthur Pershing, Jr

Edith H Stern

Archan Misra

Sameh Afif Fakhouri

Vijay A Kumar

Liana Liyow Fong

Krishna Kummamuru

Tushar Deepak Chandra

Pradeep Varma

Barry Leiba

Iqbal Ismail Mohomed

Srirama Mandyam Krishnakumar

Ajay Raina

Chatschik Bisdikian

Chitra Dorai

Peter Richard Badovinatz

Mahmoud Naghshineh

Iqbal I Mohomed

John Joseph Edward Turek

Fred S Winegust

Ahmed-Sameh Afif Fakhouri

Peter B Badovinatz

Iqbal c/o Ibm Uk Ltd Ipl Mohomed

Methods and apparatus of adaptively transmitting data are provided. Data for transmission from one or more incoming data streams is determined in accordance with at least one characteristic of a respective one of the one or more data streams and at least one context external of the data stream. A compression technique for the data and a transmission strategy for the data are modified in accordance with the data determined for transmission.

Methods and apparatus for efficient and adaptive transmission of data in data collection networks

Methods and systems are provided for routing incoming customer service requests directly to the most appropriate destination within a call center without requiring customer knowledge of a specific telephone number or extension to call and without requiring the customer to select from a series of menus. The receiving location or inbound call center accepts a voice call from a customer. The incoming voice call includes an associated data stream. This data stream is processed by the inbound call center and is used to route the call to the appropriate destination or customer service representative, for example a specific person, a department, a subsidiary, an individual either working within a facility or working outside the facility, a subcontractor and combinations thereof. Additional functionality is provided by including additional data, e.g. data in addition to routing data, along with voice data.

Method and system for call to role

Techniques for selecting a new compression technique or altering the currently instantiated compression technique employed over a data stream in data collection system are provided. At least one change to at least one external contextual condition is detected. One or more modifications to a defined compression technique is generated, either independently or in conjunction with one or more modifications to the event processing operators that operate on the data stream and whose output provides the values that are compressed by the defined compression technique, in response to the at least one change to the at least one external contextual condition. The defined compression technique of the at least one client device is altered in accordance with the one or more modifications to form a modified compression technique through which the unmodified or processed data stream will be compressed before being sent to the server.

Adapting compression techniques over data based on context

Techniques are disclosed for localized adaptation of client devices based on correlation or learning at a remote server. For example, a method for modifying a behavior of a client device in a data collection system, wherein the client device collects data and transmits data to a server, includes the following steps. The client device transmits data to the server. The server uses at least a portion of the data received from the client device to generate information that represents a modification to a behavior of the client device. The server device transmits the generated information to the client device. The client device subsequently alters the behavior of the client device based on the information received from the server.

Method and apparatus for localized adaptation of client devices based on correlation or learning at remote server

A decision support system called Mounties that is designed for managing applications and resources using rule-based constraints in scalable mission-critical clustering environments. Mounties consists of four active service components: (1) a repository of resource proxy objects for modeling and manipulating the cluster configuration; (2) an event notification mechanism for monitoring and controlling interdependent and distributed resources; (3) a rule evaluation and decision processing mechanism; and (4) a global optimization service for providing decision making capabilities. The focus of this paper is on the design of the first three services that together connect and coordinate the distributed resources with the decision making component.

Decision based system for managing distributed resources and modeling the global optimization problem

Provides methods and apparatus for accessing and controlling services, such as home automation services, visually employing established wireless, cellular telecommunication technologies for voice communications. In example embodiments, users of personal portable devices connect to services over dial-up, wireless, cellular, circuit-switched voice telephone networks, receive and display listings of available services and use these listings to access and manipulate the services.

Pervasive, personal data interactivity over voice-grade circuit-switched cellular networks

A method of providing rapid business support of insured property using image analysis can include the step of receiving at least one digital image of damaged property. Damage can be automatically accessed for insurance purposes based upon the received images. An incident response can be automatically determined based at least in part upon the damage assessment. Incident responses can include, but are not limited to, tendering a claim payoff offer, referring a claim to a human agent, providing repair instructions, and/or arranging for a physical damage assessment of the damaged property.

Rapid business support of insured property using image analysis

An embodiment of the invention provides a method of managing a cluster of networked resources and resource groups using rule-based constraints. This method includes the step of building a globally optimal cluster configuration of the resources in accordance with the rule-based constraints and a current state of the resources, including identifying for each of the resources and resource groups an availability and quality of service, which are determined by dependencies among the resources and resource groups, resource equivalency, constraints on the resources and network policies. The method comprises the further steps of bringing the cluster of resources on-line in a systematic manner, given the current state of each of the resources and resource groups; and with the cluster of networked resources on-line, determining dynamic dependencies of and configuration infomration about the cluster of resources (i) statically at defined times and (ii) dynamically during cluster operation.

Managing a cluster of networked resources and resource groups using rule - base constraints in a scalable clustering environment

The number of instances of an application running in a computing environment are controlled by monitoring the current load on the application, and altering the current number of instances of the application based on results of the monitoring. The load may be monitored by monitoring the current number of instances of the application running in the computing environment. Where a maximum, minimum and/or initial number on startup, of instances of the application are specified, the altering is done based on comparing the current number to one or more of the specified numbers of instances.

Controlling a number of instances of an application running in a computing environment

Resources are checkpointed in order to save the state of the resources. The resources can then be brought back to the same running state, during a restart procedure, by making use of the saved state. The determination of when to take a checkpoint or when to restart a resource is made by an entity, such as a cluster manager, external to the entity initiating or taking the checkpoint or performing the restart. The decision to checkpoint/restart a resource is provided by the cluster manager to a resource manager associated with the resource. This communication is facilitated by interfaces to the cluster manager provided by the resource manager.

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William Francis Jerome