International Business Machines Corporation

Ramendra K Sahoo

Myung Mun Bae

Jose Eduardo Moreira

Anees Abdul Shaikh

Debanjan Saha

Adam J Oliner

Manish Satyapal Gupta

Sambit Sahu

Yaoping Ruan

Zon-Yin Shae

Raymond Byars Jennings, Iii

Nikolaos Anerousis

Hai Huang

Hani Talal Jamjoom

Krishna Kummamuru

Anuradha Bhamidipaty

Milton H Hernandez

Karthik Visweswariah

Krishnan Sugavanam

Dirk Hoenicke

Hao Yu

Shailabh Nagar

Marc B Dombrowa

Hani Talal Jamjoon

Virendra K Varshneya

Debanjan Saba

Techniques for creating a nomenclature to represent one or more groups within a process are provided. The techniques include obtaining a process, wherein the process comprises one or more groups, and creating a nomenclature to represent the one or more groups, wherein the nomenclature facilitates usability of the process in at least one of an operation and design environment. Techniques are also provided for generating a database of one or more processes, wherein each process is represented by a nomenclature.

Method for creating a process nomenclature

A plurality of base templates is generated. Each of the base templates models a corresponding process. A plurality of instances of each of the base templates is instantiated. Each of the plurality of instances corresponds to an application of the corresponding process to a particular environment. Each of the instances of each of the base templates is annotated, based, in each case, upon observation of functioning of the instance in the particular environment.

System and method for dynamic structuring of process annotations

Method, apparatus and computer program product are configured to perform computer monitoring activities; to collect information regarding computer system status during the computer monitoring activities; to detect a problem in dependence on the information collected during the computer monitoring activities; and to determine whether to launch a diagnostic probe when the problem is detected. The monitoring activities may be performed on a periodic or event-driven basis. The determination whether to launch a diagnostic probe is based on a rule included in a hierarchy of rules. The hierarchy of rules is based on problem tickets; system logs; and computer system configuration information.

Method, apparatus and computer program product for rule-based directed problem resolution for servers with scalable proactive monitoring

A system for discovering business processes from noisy activities logs from various activities performed during the execution of the process. Activities are observed from the noisy activity logs that may include text from manually entered activity logs, chat scripts, emails, voice transcripts, desktop captures, and tool logs, wherein the noisy activity logs are received from multiple person/tool actors with each of the actors performing one or more activities related to one/more business tasks. Extracting information from the noisy activity logs to capture activity based information, and then analyzing similar activities and finding possible paths in the similar activities. The results are used to build a process graph based on the similar activities and the possible paths in the similar activities.

System for discovering business processes from noisy activities logs

The structure attributes and unstructured attributes of a ticket are used to generate a problem signature. For structured attributes, correlation between field values is determined and fields with the highest weight are identified. For unstructured attributes, data mining techniques are applied to generate a plurality of keywords with a ranking for each ticket by identifying keywords, and commonly used acronyms and corpus variances. The set of structured attributes and the plurality of keywords from unstructured attributes form the signature of a given problem ticket.

Method for extracting signature from problem records through unstructured and structured text mapping, classification and ranking

A plurality of equivalent representations of a process are identified. The process has a plurality of tasks. Each of the representations specifies a different order of the tasks. The plurality of equivalent representations are consolidated into a single representation. The single representation captures, in at least one flexible order grouping, at least two of the tasks that may be performed in more than one order. At least one constraint is specified for the at least one flexible order grouping. Techniques for merging two or more flexible representations are also provided.

System and method for constructing flexible ordering to improve productivity and efficiency in process flows

A system for predicting an occurrence of a critical even in a computer cluster includes: a control system that includes an event log, a system parameter log, a memory for storing information related to occurrences of critical events, and a processor. The processor implements a hybrid prediction system; loads the information from the event log and the system performance log into a Bayesian network model; uses the Bayesian network model to predict a future critical event; makes future scheduling and current data migration selections; and adapts the Bayesian network model by feeding the scheduling and data migration selections.

Hybrid event prediction and system control

In a multi node information processing system, a method for scheduling jobs, includes steps of: determining node-related performance parameters for a plurality of nodes; determining a ranking for each node based on the node related performance parameters for each node; and ordering each nodes by its ranking for job scheduling.

Method for using a priority queue to perform job scheduling on a cluster based on node rank and performance

The notion of controlling, using and monitoring remote resources in a distributed data processing system through the use of proxy resource managers and agents is extended to provide failover capability so that resource coverage is preserved and maintained even in the event of either temporary or longer duration node failure. Mechanisms are provided for consistent determination of resource status. Mechanisms are also provided which facilitate the joining of nodes to a group of nodes while still preserving remote resource operations. Additional mechanisms are also provided for the return of remote resource management to the control of a previously failed, but now recovered node, even if the failure had resulted in a node reset.

Scalable method of continuous monitoring the remotely accessible resources against node failures for very large clusters

A method for implementing large scale parallel file I/O processing includes steps of: separating processing nodes into compute nodes specializing in computation and I/O nodes (computer processors restricted to running I/O daemons); organizing the compute nodes and the I/O nodes into processing sets, the processing sets including: one dedicated I/O node corresponding to a plurality of compute nodes. I/O related system calls are received in the compute nodes then sent to the corresponding I/O nodes. The I/O related system calls are processed through a system I/O daemon residing in the I/O node. The plurality of compute nodes are evenly distributed across participating processing sets. Additionally, for collective I/O operations, compute nodes from each processing set are assigned as I/O aggregators to issue I/O requests to their corresponding I/O node, wherein the I/O aggregators are evenly distributed across the processing set. Additionally, a file domain is partitioned using a collective buffering technique wherein data is aggregated in memory prior to writing to a file; portions of the partitioned file domain are assigned to the processing sets.

Method for providing high performance scalable file I/O through persistent file domain and functional partitioning

A system and method for managing clustered computer resources, and more particularly very large scale clusters of computer resources by a semi-hierarchical n level, n+1 tier approach. The top level consists of the controller nodes. A first tier is defined at the top level. At a last level, at which the cluster of controlled nodes is found, a last tier is defined. Additional levels of controller or controlled nodes may exist between the top and bottom levels. At least one intermediate tier is introduced between two of the levels and comprises at least one proxy or a plurality of proxies. A proxy is a process or set of processes representing processes of the clustered computer resources. Proxies can run either on controller nodes or on the controlled nodes or controlled node clusters to facilitate administration of the controlled nodes.

Semi-hierarchical system and method for administration of clusters of computer resources

An improved method and apparatus for time stamping events occurring on a large scale distributed network uses a local counter associated with each processor of the distributed network. Each counter resets at the same time globally so that all events are recorded with respect to a particular time. The counter is stopped when a critical event is detected. The events are masked or filtered in an online or offline fashion to eliminate non-critical events from triggering a collection by the system monitor or service/host processor. The masking can be done dynamically through the use of an event history logger. The central system may poll the remote processor periodically to receive the accurate counter value from the local counter and device control register. Remedial action can be taken when conditional probability calculations performed on the historical information indicate that a critical event is about to occur.

Hardware/software based indirect time stamping methodology for proactive hardware/software event detection and control

A hybrid method of predicting the occurrence of future critical events in a computer cluster having a series of nodes records system performance parameters and the occurrence of past critical events. A data filter filters the logged to data to eliminate redundancies and decrease the data storage requirements of the system. Time-series models and rule based classification schemes are used to associate various system parameters with the past occurrence of critical events and predict the occurrence of future critical events. Ongoing processing jobs are migrated to nodes for which no critical events are predicted and future jobs are routed to more robust nodes.

Hybrid method for event prediction and system control

Scalable method of continuous monitoring the remotely accessible resources against the node failures for very large clusters

Briefly, according to the invention in an information processing system including a plurality of information processing nodes, a request for checkpointing by an application includes node health criteria (or parameters). The system has the authority to grant or deny the checkpointing request depending on the system health or availability. This scheme significantly improves not only the system performance, but also the application running time as the system. By skipping a checkpoint the application can use the same time to run the application instead of spending extra time for checkpointing.

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Mohegan Lake, NY, United States of America

Ramendra K Sahoo