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Dive into the research topics where Kavitha Manivannan is active.

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Featured researches published by Kavitha Manivannan.


symposium on operating systems principles | 2011

Windows Azure Storage: a highly available cloud storage service with strong consistency

Brad Calder; Ju Wang; Aaron W. Ogus; Niranjan Nilakantan; Arild E. Skjolsvold; Sam McKelvie; Yikang Xu; Shashwat Srivastav; Jiesheng Wu; Huseyin Simitci; Jaidev Haridas; Chakravarthy Uddaraju; Hemal Khatri; Andrew James Edwards; Vaman Bedekar; Shane Mainali; Rafay Abbasi; Arpit Agarwal; Mian Fahim ul Haq; Muhammad Ikram ul Haq; Deepali Bhardwaj; Sowmya Dayanand; Anitha Adusumilli; Marvin McNett; Sriram Sankaran; Kavitha Manivannan; Leonidas Rigas

Windows Azure Storage (WAS) is a cloud storage system that provides customers the ability to store seemingly limitless amounts of data for any duration of time. WAS customers have access to their data from anywhere at any time and only pay for what they use and store. In WAS, data is stored durably using both local and geographic replication to facilitate disaster recovery. Currently, WAS storage comes in the form of Blobs (files), Tables (structured storage), and Queues (message delivery). In this paper, we describe the WAS architecture, global namespace, and data model, as well as its resource provisioning, load balancing, and replication systems.


Archive | 2012

Assignment of resources in virtual machine pools

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Hemal Khatri


Archive | 2012

Paas hierarchial scheduling and auto-scaling

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Ii Marvin Mcnett; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2013

Decoupling paas resources, jobs, and scheduling

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2012

Platform as a service job scheduling

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2013

PRICING OF RESOURCES IN VIRTUAL MACHINE POOLS

Bradley Gene Calder; Ju Wang; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2012

Auto-scaling of pool of virtual machines based on auto-scaling rules of user associated with the pool

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2012

Migration of task to different pool of resources based on task retry count during task lease

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Mcnett Ii Marvin; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri


Archive | 2013

Preisgestaltung von ressourcen in virtuellen maschinenpools

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Ii Marvin Mcnett; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Hemal Khatri


Archive | 2013

Entkopplung von paas-ressourcen, -aufgaben und -planungen

Bradley Gene Calder; Ju Wang; Vaman Bedekar; Sriram Sankaran; Ii Marvin Mcnett; Pradeep Kumar Gunda; Yang Zhang; Shyam Antony; Kavitha Manivannan; Arild E. Skjolsvold; Hemal Khatri

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