• Publications
  • Influence
Modeling and performance analysis of large scale IaaS Clouds
TLDR
We develop a scalable stochastic analytic model for performance quantification of Infrastructure-as-a-Service (IaaS) Cloud. Expand
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Link layer multicasting with smart antennas: No client left behind
TLDR
This paper utilizes smart beamforming antennas to improve multicast performance in wireless LANs. Expand
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A scalable availability model for Infrastructure-as-a-Service cloud
TLDR
In this paper, we show a scalable method for availability analysis of large scale IaaS cloud using analytic models. Expand
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End-to-End Performability Analysis for Infrastructure-as-a-Service Cloud: An Interacting Stochastic Models Approach
TLDR
We propose a general analytic model based approach for an end-to-end perform ability analysis of a cloud service. Expand
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Scalable Analytics for IaaS Cloud Availability
TLDR
A scalable, stochastic model-driven approach to quantify the availability of a large-scale IaaS cloud, where failures are typically dealt with through migration of physical machines among three pools: hot (running), warm (turned on, but not ready), and cold (turned off). Expand
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Biting Off Safely More Than You Can Chew: Predictive Analytics for Resource Over-Commit in IaaS Cloud
  • R. Ghosh, V. Naik
  • Computer Science
  • IEEE Fifth International Conference on Cloud…
  • 24 June 2012
TLDR
In this paper, to estimate the risks associated with over-commit, we describe a mechanism based on the statistical analysis of the aggregate resource usage behavior of a group of workloads. Expand
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Power-performance trade-offs in IaaS cloud: A scalable analytic approach
TLDR
We develop a scalable analytic model for joint analysis of performance and power consumption for a class of Infrastructure-as-a-Service (IaaS) clouds with tiered service offerings. Expand
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CoMICon: A Co-Operative Management System for Docker Container Images
TLDR
We present CoMICon, a system for co-operative management of Docker images among a set of nodes. Expand
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A novel deep learning architecture for sentiment classification
TLDR
We proposed a hybrid deep learning architecture, which is a hybrid of a two layered Restricted Boltzmann Machine and a Probabilistic Neural Network. Expand
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Enkephalinase inhibitors: potential agents for the management of pain.
Management of acute and chronic pain has always been a key area of clinical research. Enkephalinase inhibitors (EIs) seem to be promising as therapeutic agents having antinociceptive action. TheyExpand
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