Abdul H. Quamar  Abdul H. Quamar photo       

contact information

Research Staff Member
Almaden Research Center, San Jose, CA, USA
  +1dash408dash927dash2836

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Professional Associations

Professional Associations:  ACM SIGMOD

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More information:  LinkedIn  |  Google Scholar  |  DBLP  |  Curriculum Vitae


2016

The Quill Distributed Analytics Library and Platform
Chandramouli, Badrish and Fernandez, Raul Castro and Goldstein, Jonathan and Eldawy, Ahmed and Quamar, Abdul
Technical Report, Technical report, Microsoft Research (MSR-TR-2016-25). http://aka. ms/quill-tr
Abstract

NScale: neighborhood-centric large-scale graph analytics in the cloud
Quamar, Abdul and Deshpande, Amol and Lin, Jimmy
The VLDB Journal—The International Journal on Very Large Data Bases 25(2), 125--150, Springer-Verlag New York, Inc., 2016
Abstract

NScaleSpark: subgraph-centric graph analytics on Apache Spark
Quamar, Abdul and Deshpande, Amol
Proceedings of the 1st ACM SIGMOD Workshop on Network Data Analytics, pp. 5, 2016
Abstract

Quill: efficient, transferable, and rich analytics at scale
Chandramouli, Badrish and Fernandez, Raul Castro and Goldstein, Jonathan and Eldawy, Ahmed and Quamar, Abdul
Proceedings of the VLDB Endowment 9(14), 1623--1634, VLDB Endowment, 2016
Abstract


2015

BUILDING EFFICIENT AND COST-EFFECTIVE CLOUD-BASED BIG DATA MANAGEMENT SYSTEMS
Quamar, Abdul
Ph.D. Thesis, Computer Science, University of Maryland, 2015
Abstract


2014

SWORD: workload-aware data placement and replica selection for cloud data management systems
Kumar, K Ashwin and Quamar, Abdul and Deshpande, Amol and Khuller, Samir
The VLDB Journal 23(6), 845--870, Springer, 2014
Abstract

NScale: neighborhood-centric analytics on large graphs
Quamar, Abdul and Deshpande, Amol and Lin, Jimmy
Proceedings of the VLDB Endowment 7(13), 1673--1676, VLDB Endowment, 2014
Abstract


2013

Scalable progressive analytics on big data in the cloud
Chandramouli, Badrish and Goldstein, Jonathan and Quamar, Abdul
Proceedings of the VLDB Endowment 6(14), 1726--1737, VLDB Endowment, 2013
Abstract

SWORD: scalable workload-aware data placement for transactional workloads
Quamar, Abdul and Kumar, K Ashwin and Deshpande, Amol
Proceedings of the 16th International Conference on Extending Database Technology, pp. 430--441, 2013
Abstract

Scaling transactional workloads on the cloud
Quamar, Abdul
Master's Thesis Report, Computer Science, University of Maryland, 2013
Abstract


2012

Neighborhood Cache for mobile ad-hoc networks.
Quamar, Abdul and Bhattacharjee, Souvik
Technical Report, Databases, Computer Science, University of Maryland, 2012


2011

Graph Partitioning using Parallel Clustering for Improving Performance of Distributed Databases
Quamar, Abdul and Mondal, Jayanta and Elsaka, Ethar
Technical Report, High Performance Computing, Computer Science, University of Maryland, 2011


2010

Predicting Dense Regions in Dynamic Graphs
Kayyoor, Ashwin and Quamar, Abdul
Technical Report, Machine Learning, Computer Science, University of Maryland, 2010