Publications


2014

Trekking through Siberia: Managing Cold Data in a Memory-Optimized Database [PDF]
Ahmed Eldawy, Justin Levandoski, and Per-Åke Larson
To appear in Proceedings of the the International Conference on Very Large Databases, VLDB 2014, Hangzou, China, September 2014.

Indexing on Modern Hardware: Hekaton and Beyond
Justin Levandoski, David Lomet, Sudipta Sengupta, Adrian Birka, and Cristian Diaconu
To appear in Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2014, Snowbird, Utah, June 2014.

2013

LLAMA: A Cache/Storage Subsystem for Modern Hardware [PDF]
Justin Levandoski, David Lomet, and Sudipta Sengupta
In Proceedings of the International Conference on Very Large Databases, VLDB 2013, Trento, Italy, August 2013.

The Bw-Tree: A B-tree for New Hardware Platforms [PDF] [PPTX]
Justin Levandoski, David Lomet, and Sudipta Sengupta
In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 2013.

Identifying Hot and Cold Data in Main-Memory Databases [PDF] [PPTX]
Justin Levandoski, Per-Åke Larson, and Radu Stoica
In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 2013.

Flexible and Extensible Preference Evaluation in Database Systems [PDF]
Justin Levandoski, Ahmed Eldawy, Mohamed E. Khalefa, and Mohamed F. Mokbel
To appear in ACM Transactions on Database Systems, TODS

The Bw-Tree: A Latch-Free B-Tree for Log-Structured Flash Storage [PDF]
Justin Levandoski, and Sudipta Sengupta
In IEEE Data Engineering Bulletin, June, 2013.

Ranking and New Database Architectures
Justin Levandoski
To appear in Proceedings of the International Workshop on Ranking in Databases, DBRank 2013, co-located with VLDB 2013, Trento, Italy, August 2013 (Invited Paper).

LARS*: An Efficient and Scalable Location-Aware Recommender System [PDF]
Mohamed Sarwat, Justin Levandoski, Ahmed Eldawy, and Mohamed F. Mokbel
To appear in IEEE Transactions on Knowledge and Data Engineering, TKDE

2012

LARS: A Location-Aware Recommender System [PDF] [PPTX]
Justin J. Levandoski, Mohamed Sarwat, Ahmed Eldawy, and Mohamed F. Mokbel
In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2012, Washington D.C., April 2012. Selected for TKDE special issue on the best papers of ICDE 2012.

RecStore: An Extensible and Adaptive Framework for Online Recommender Queries inside a Database Engine
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. Mokbel, and Michael D. Ekstrand
In Proceedings of the International Conference on Extending Database Technology, EDBT 2012, Berlin, Germany, March 2012.

Sindbad: A Location-based Social Networking System
Mohamed Sarwat, Jie Bao, Ahmed Eldawy, Justin J. Levandoski, and Mohamed F. Mokbel
In Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2012,
Scottsdale, AZ, May 2012 (demo paper).


The Anatomy of Sindbad: A Location-Aware Social Networking System [PDF] [Video]
Mohamed Sarwat, Jie Bao, Ahmed Eldawy, Justin J. Levandoski, Amr Magdy, Mohamed F. Mokbel
In Proceedings of the ACM SIGSPATIAL International Workshop on Location-Based Social Networks, LBSN 2012 ,
Redondo Beach, CA, May 2012 (invited paper).


2011

RecBench: Benchmarks for Evaluating Performance of Recommender System Architectures [PDF]
Justin J. Levandoski, Michael D. Ekstrand, Michael J. Ludwig, Ahmed Eldawy, Mohamed F. Mokbel and John T. Riedl
In Proceedings of the International Conference on Very Large Databases, VLDB 2011, Seattle, WA, September 2011.

Deuteronomy: Transaction Support for Cloud Data [PDF]
Justin J. Levandoski, David B. Lomet, Mohamed F. Mokbel and Kevin Keliang Zhao
In Proceedings of the Biennial Conference on Innovating Data Systems Research, CIDR 2011, Asilomar, CA, January 2011.

StreamRec: A Real-Time Recommender System [PDF]
Badrish Chandramouli, Justin J. Levandoski, Ahmed Eldawy and Mohamed F. Mokbel
In Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2011, Athens (demo paper).

An Overview of the CareDB Context and Preference-Aware Database System [PDF]
Justin J. Levandoski, Mohamed E. Khalefa, and Mohamed F. Mokbel
In IEEE Data Engineering Bulletin, 2011.

PrefJoin: An Efficient Preference-aware Join Operator [PDF] [PPTX]
Mohamed E. Khalefa, Mohamed F. Mokbel and Justin J. Levandoski
In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2011, Hannover, Germany, April 2011.

The CareDB Context and Preference-Aware Database System
Justin J. Levandoski, Mohamed E. Khalefa and Mohamed F. Mokbel
In Proceedings of the International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases, PersDB 2011, co-located with VLDB 2011, Seattle, WA, September 2011 (invited paper).

Personalization, Socialization, and Recommendations in Location-based Services 2.0
Mohamed F. Mokbel, Jie Bao, Ahmed Eldawy, Justin J. Levandoski and Mohamed Sarwat
In Proceedings of the International Workshop on Personalized Access, Profile Management, and Context Awareness in Databases, PersDB 2011, co-located with VLDB 2011, Seattle, WA, September 2011.

2010

CareDB: A Context and Preference-Aware Location-Based Database System [PDF] [Poster] [Video]
Justin J. Levandoski, Mohamed F. Mokbel and Mohamed E. Khalefa
In Proceedings of the International Conference on Very Large Databases, VLDB 2010, Singapore, September 2010 (demo paper).

Preference Query Evaluation Over Expensive Attributes [PDF] [PPTX]
Justin J. Levandoski, Mohamed F. Mokbel and Mohamed E. Khalefa
In Proceedings of the International Conference on Information and Knowledge Management, CIKM 2010, Toronto, Candada, October 2010 (full paper, acceptance rate 13.4%).

Skyline Query Processing for Uncertain Data [PDF]
Mohamed E. Khalefa, Mohamed F. Mokbel and Justin J. Levandoski
In Proceedings of the International Conference on Information and Knowledge Management, CIKM 2010, Toronto, Candada, October 2010 (short paper, acceptance rate 31.3%).

On Producing High and Early Result Throughput in Multi-join Query Plans [PDF]
Justin J. Levandoski Mohamed E. Khalefa and Mohamed F. Mokbel
To appear in IEEE Transactions on Knowledge and Data Engineering, IEEE TKDE, 2010.

A Demonstration of FlexPref: Extensible Preference Evaluation inside the DBMS Engine [PDF] [Poster]
Justin J. Levandoski, Mohamed F. Mokbel and Mohamed E. Khalefa
In Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2010, Indianapolis, IN, June 2010 (demo paper).

FlexPref: A Framework for Extensible Preference Evaluation in Database Systems [PDF] [Poster] [PPTX]
Justin J. Levandoski, Mohamed F. Mokbel and Mohamed E. Khalefa
In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2010, Long Beach, CA, March 2010 (full paper, acceptance rate 12.5%)

CareDB: A Context and Preference-Aware Location-Based Database System [PDF]
Justin J. Levandoski
In Proceedings of the ICDE Ph.D. Workshop 2010, Long Beach, CA, March 2010.
Includes $1,000 travel fellowship sponsored by NSF grant IIS-0956600.


2009

RDF Data-Centric Storage [PDF]
Justin J. Levandoski and Mohamed F. Mokbel
In Proceedings of the IEEE International Conference on Web Services, ICWS 2009, Los Angeles, CA, July 2009 (full paper, acceptance rate 18%)

Toward Context and Preference-Aware Location-Based Services [PDF]
Mohamed F. Mokbel and Justin J. Levandoski
In Proceedings of the International ACM Workshop on Data Engineering for Wireless and Mobile Access, MobiDE 2009, co-located with SIGMOD2009, Providence, RI, June 2009

2008

PermJoin: An Efficient Algorithm for Producing Early Results in Multi-join Query Plans [PDF] [Poster]
Justin J. Levandoski, Mohamed E. Khalefa and Mohamed F. Mokbel
In Proceedings of the IEEE International Conference of Data Engineering, ICDE 2008, Cancun, Mexico, April 2008 (short paper, acceptance rate 31%).

Skyline Query Processing for Incomplete Data [PDF]
Mohamed E. Khalefa, Mohamed F. Mokbel and Justin J. Levandoski
In Proceedings of the IEEE International Conference of Data Engineering, ICDE 2008, Cancun, Mexico, April 2008 (full paper, acceptance rate 12.1%).