International Business Machines Corporation

Tapan Kumar Nayak

Akshat Verma

Gargi Banerjee Dasgupta

Pradipta De

Arjun R Akula

Gaargi B Dasgupta

Ravi Kothari

Balaji Viswanathan

Shivali Agarwal

Upendra Sharma

Shripad Jayant Nadgowda

Rohit Jain

Aritra Sen

Ankit Garg

Applications in a data center can be consolidated by identifying different combinations of software executing on hardware. The software can include a set of applications that execute upon a set of servers. The different combinations can have different arrangements of applications running on different ones of the servers. For each of the different combinations, a licensing cost, an operating cost, and a total cost can be calculated. The total cost of operation for each of the configurations can be calculated by summing the licensing costs, the operating costs adjusted for the cost savings for complementary workload patterns, and migration costs for adjusting a current configuration of the applications and servers to arrive at the configuration. The total cost results per configuration can be reported to a user for at least a set of the configurations.

Application placement among a set of consolidation servers utilizing license cost and application workload profiles as factors

Methods, systems, and computer program products for structured representation and classification of noisy and unstructured tickets are provided herein. A method includes correlating one or more items of problem incident text data from a given problem incident identifier with items of event text data to generate items of correlated text data within the given problem incident identifier; applying a syntactic grammar to the items of correlated text data to identify in the given problem incident identifier (i) one or more domain-dependent concepts and (ii) one or more domain-independent concepts; parsing noisy and/or unstructured text from the given problem incident identifier based on analysis of (i) the domain-dependent concepts and (ii) the domain-independent concepts; and classifying the given problem incident identifier by classifying features derived from text of the given problem incident identifier subsequent to said parsing of said noisy and/or unstructured text from the given problem incident identifier.

Structured representation and classification of noisy and unstructured tickets in service delivery

Methods, systems, and computer program products for analyzing tickets using discourse cues in communication logs are provided herein. A computer-implemented method includes analyzing a plurality of communication logs associated with a query related to an information technology issue to determine one or more discourse relationships between the plurality of communication logs; generating a hierarchical structure representing the plurality of communication logs and the one or more determined discourse relationships; associating the query with one or more classified queries by (i) determining one or more patterns in the hierarchical structure and (ii) comparing the one or more determined patterns to patterns associated with multiple historical hierarchical structures associated with classified queries; and determining one or more information technology issue categories applicable to the query based on said associating.

Analyzing tickets using discourse cues in communication logs

Techniques for virtual machine placement in a datacenter are provided. The techniques include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized.

Virtual machine placement for minimizing total energy cost in a datacenter

Techniques for minimizing storage power consumption are provided. The techniques include generating one or more physical storage volumes and one virtual storage volume for each physical storage volume, creating a mapping from virtual storage volumes to physical storage volumes, determining input/output (I/O) access behavior of one or more applications using statistical analysis, and re-mapping the virtual to physical volume mapping based on the determined I/O access behavior of the one or more applications to minimize storage power consumption while meeting a required performance.

Minimizing storage power consumption

A system and computer program product for virtual machine placement in a datacenter include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized.

Embodiments of the invention provide power savings via performing application workload consolidation to servers using off-peak values for application workload demand. Embodiments of the invention are designed to achieve significant power savings while containing performance risk associated with server consolidation.

Systems and methods for using workload characteristics for sizing and placement for power-aware consolidation

A device and method for efficient hoarding content set on a mobile client prior to disconnection of the mobile client from a network. The content set to be hoarded on the mobile client and a respective schedule for hoarding the content set on the mobile client are dynamically computed by considering various real times factors such as file utilities, device capabilities and network connectivity that affect the performance of the mobile client and the hoarding process.

Method and system for hoarding content on mobile clients

A method and system for method for replicating object consisting of creating a group of objects at a first location; transmitting the group of objects from a first location to a second location over a network coupling the first location to the second location, such that the number of transmissions is minimized receiving the group of objects at the second location; and storing the group of objects at the second location. The objects are preferably data objects and are collated into group based on a probability score is computed for each data object centered on an access pattern. Advantages include minimizing the number of transmission of the group of objects thereby reducing network traffic and failure of operation during replication of the objects.

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New Delhi, India

Tapan Kumar Nayak