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Sandeep Gopisetty

Researcher at IBM

Publications -  64
Citations -  1138

Sandeep Gopisetty is an academic researcher from IBM. The author has contributed to research in topics: Cloud computing & Storage area network. The author has an hindex of 20, co-authored 62 publications receiving 1112 citations.

Papers
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Patent

Server consolidation using virtual machine resource tradeoffs

TL;DR: In this article, a virtual machine is assigned to a target physical server based on a plurality of virtualization parameters for maximizing utility of virtual machines and physical servers in server consolidation using virtual machine resource tradeoffs.
Patent

Remote data protection in a networked storage computing environment

TL;DR: In this article, a data protection approach is disclosed for protecting data at both the file system level and application level, which can be used to restore the state of a computer file system to that of a given point in time.
Patent

Apparatus, system, and method for interaction with multi-attribute system resources as groups

TL;DR: In this paper, an apparatus, system, and method for interacting with multi-attribute managed resources as groups is described. But the method is not described in detail and it is assumed that each set of managed resources in a set comprises the same value for the target attribute.
Patent

End-to end provisioning of storage clouds

TL;DR: In this article, an integrated provisioning framework that automates the process of provisioning storage resources, end-to-end, for an enterprise storage cloud environment is presented. But, it does not address the problem of workload requirements and configuration for available system resources.
Patent

Data lifecycle management within a cloud computing environment

TL;DR: In this paper, a set of policies can be defined that allow for automatic valuation of the data and migration of data between different storage tiers before a policy set is deployed, it can be assessed to determine effects it will have on cost, performance, and data location based on data characteristics and access patterns.