International Business Machines Corporation

Anindya Neogi

Akshat Verma

Manoj Kumar Agarwal

Gautam Kar

Ajay Mohindra

Manish Satyapal Gupta

Anca Sailer

Ravi Kothari

Gargi Banerjee Dasgupta

Raghavendra Singh

Parviz Kermani

Priti P Patil

Rohit Pradeep Shetty

Sameep Mehta

Vinayaka D Pandit

Gyana Ranjan Parija

Sriram Raghavan

Geetha Adinarayan

Deepak A Deshpande

Vinay G Rajagopal

Karen Appleby

Ramesh Baskaran

Qi Cheng Li

Nataraj Nagaratnam

Shao Chun Li

Kaushal Kiran Kapadia

Balaji Viswanathan

Girish Bhimrao Chafle

Atri Mandal

Magesh Rajamani

Rose Catherine Kanjirathinkal

Animesh Nandi

Bharat Krishnamurthy

Suriya Subramanian

Aritra Sen

Sai Dattathrani

Rahul Prabhakar Kulkarni

Computer-implemented method for searching for information related to an incident generated in a server system, a system and a computer program product. The method includes extracting context information from a current ticket describing the incident, the context information including a first expression describing a symptom of the incident and indicating at least one component of the server system associated with the symptom; determining a data source which generates data in which the information related to the incident is to be searched for at least according to the at least one component; and using the first expression describing the symptom and a second different expression describing the symptom as keywords to search for the information related to the incident in the data.

Search for information related to an incident

Methods and arrangements for efficiently mining a control flow graph from execution logs of a distributed system. Using at least one text clustering technique, two text clusters are generated from the plurality of execution logs. At least one approximate template is generated based on the at least two text clusters. At least one refined template is created via refining the at least one approximate template using multimodal sequencing. The control flow graph is created based on the at least one refined template. An anomaly is detected in the control flow graph.

Scalable and accurate mining of control flow from execution logs across distributed systems

An expert system extracts events associated with executing an application from log files generated by various topological resources in a distributed computing environment. The events are plotted as plot points on a time series graph. Patterns are identified in the plot points that are associated with application problems, along with the computing environment configurations both before the problem and after the problem was resolved. The difference in the configurations represents a corrective action for the application problem, and the expert system links the corrective action to the pattern. When a pattern repeats in conjunction with another application problem, the corrective action is identified as a possible solution to the new problem. A confidence level associated with the pattern/corrective action may be increased when a user accepts the corrective action and may be decreased when a user rejects the corrective action.

Identifying solutions to application execution problems in distributed computing environments

Identity context-based access control is implemented by generating an identity context expression from user identity data. In particular, users are clustered based on combinations of one or more attributes. These clusters comprise one or more identity context(s). Preferably, an intersection of attribute sets of each user in the cluster is formed. In addition, an intersection of attribute sets of each user not in the cluster also is formed. If the attribute set that is common across the cluster of users is not a subset of the attribute set that is common across the rest of the users, then the attribute set forms a unique identity context expression. To reduce the number of roles used in role-based access control (RBAC), at least one role is replaced with an identity context expression. Run-time access control is then enabled.

Identity context-based access control

A system and method for managing dynamically allocated resources assigned to a service includes providing a service to be used by a plurality of sites in a federation. Usage information associated with the service is communicated to each of the plurality of sites. A disposition of the service is determined based on local policies and the usage information received from other sites by a service owner. The disposition of the service is updated across a plurality of sites in accordance with messages sent by the service owner to reduce resource usage.

Method and system for policy based lifecycle management of virtual software appliances

N applications are placed on M virtualized servers having power management capability. A time horizon is divided into a plurality of time windows, and, for each given one of the windows, a placement of the N applications is computed, taking into account power cost, migration cost, and performance benefit. The migration cost refers to cost to migrate from a first virtualized server to a second virtualized server for the given one of the windows. The N applications are placed onto the M virtualized servers, for each of the plurality of time windows, in accordance with the placement computed in the computing step for each of the windows.

Techniques for placing applications in heterogeneous virtualized systems while minimizing power and migration cost

Methods, systems, and articles of manufacture for leveraging social media to assist in troubleshooting are provided herein. A method includes extracting user-generated information pertaining to multiple failure scenarios from at least one social media data source; determining one or more causality relationships between a set of log entries associated with the multiple failure scenarios and the extracted user-generated information; identifying a similarity between the one or more determined causality relationships and information contained within a user query; and providing guidance to the user regarding resolving and/or obviating a failure associated with the user query based on said identified similarity.

Leveraging social media to assist in troubleshooting

In response to a performance parameter of a virtual machine (VM) exceeding a threshold, an operation to be performed relative to the VM is identified. A resource requirement of performing the operation is determined using a resource requirement thresholds hierarchy. The resource requirement thresholds hierarchy is usable for computing the resource requirement of the operation when the operation is performed at a specified level in a hierarchy within a virtualized environment where the VM is executing. A violation value resulting from performing the operation is determined using a violation value thresholds hierarchy. If the resource requirement and the violation value do not exceed a resource requirement threshold and a violation value threshold respectively, a first configuration of the VM is revised to a second configuration of the VM. The second configuration includes a result of performing the operation relative to the VM at the specified level in the hierarchy.

Hierarchical thresholds-based virtual machine configuration

A virtual machine placement framework is described to enable a data center operator to develop a placement scheme to satisfy its particular constraints while simultaneously optimizing resource utilization. To generate a placement solution, the virtual machine placement problem is first characterized as a 'bin packing' problem. The framework provides simple interface tools and processing modules, and a pluggable architecture for receiving placement algorithms. To generate a solution, an administrator creates an XML representation that abstracts physical entities (e.g., data center, subnet, rack, physical server, and the like) into a hierarchical tree of bins. The administrator also defines a set of 'rules' that govern (direct) the placement of the virtual machines by placing constraints on the placement scheme. Using the hierarchical tree and the rules, the framework is executed to generate a placement as a solution to a bin packing problem, preferably on a layer-by-layer basis.

Automated virtual machine placement planning using different placement solutions at different hierarchical tree levels

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New Delhi, India

Anindya Neogi