Faisal Nawab

*****For a complete list of my publications and work please visit my personal homepage http://www.nawab.me or view my Resume*****

About me: I am a Computer Science Ph.D. student at UC Santa Barbara's Distributed Systems Lab (DSL). I work at the intersection of Big Data management and distributed cloud computing systems to advance the area of Global-Scale Data Management. Also, I have worked in collaboration with HP Labs and Microsoft Research to build data management designs on emerging memory hardware technology. I have published in leading venues such as VLDB, SIGMOD, ICDE, EDBT, CIDR, and others.

Projects and publications

Global-Scale Data Management: This line of work studies and design
transaction processing protocols for geo-replicated data. The large latency
between datacenters is a challenge to performance. This invites designing new
protocols that target geo-replication.
[20] COP: Planning Conflicts for Faster Parallel Transactional Machine Learning
(EDBT 2017)
[19] The Challenges of Global-scale Data Management
(SIGMOD 2016 Tutorial) [pptx]
DB-Risk: The Game of Global Database Placement
(SIGMOD 2016 Demo) [demo]
[17] Minimizing Commit Latency of Transactions in Geo-Replicated Data Stores
(SIGMOD 2015)
[16] Chariots : A Scalable Shared Log for Data Management in Multi-Datacenter Cloud Environments
(EDBT 2015)
[15] Mind your Ps and Vs: A perspective on the challenges of big data management and privacy concerns
(BigComp 2015)
[14] Message Futures: Fast Commitment of Transactions in Multi-datacenter Environments.
(CIDR 2013)
[13] Low-Latency Multi-Datacenter Databases using Replicated Commits.
(VLDB 2013)
[12] Managing Geo-replicated Data in Multi-datacenters.
(Springer Databases in Networked Information Systems 2013)
[11] Serializability, not Serial: Concurrency Control and Availability in Multi-Datacenter Datastores.
(VLDB 2012)

Data processing on emerging memory technology:
In collaboration with HP Labs, I worked on designing data stores for
non-volatile memory architectures. I studied the implications of emerging
flush-on-fail CPU technology on the durability cost of transactions. Also, as
an intern in MSR Redmond I worked on the Time-Split Bw-tree (TSBw-tree) that integrates
the algorithms of the Time-split B-tree within the lock-free implementation of the Bwtree.
[10] High Performance Temporal Indexing on Modern Hardware
(ICDE 2015)
[9] Procrastination Beats Prevention: Timely Sufficient Persistence for Efficient Crash Resilience
(EDBT 2015)
[8] Zero-Overhead NVM Crash Resilience.
(FAST 2015 WiP Session +
Poster session)
[7] Zero-Overhead NVM Crash Resilience
(NVMW 2015)

Fair resource allocation for Wireless Mesh Networks: This project
tackles the problem of unfairness in Wireless Mesh Networks, where TCP flows
experience different performance characteristics depending on their location in
the network. A MAC-layer solution is developed to transparently improve TCP
fairness. The proposed MAC layer, called TMAC, uses a timestamp-ordering
technique to achieve fairness.
[6] Fair Packet Scheduling in Wireless Mesh Networks.
(Elsevier Journal of Ad Hoc Networks 2014)
[5] MAC-Layer Protocol for TCP Fairness in Wireless Mesh Networks.
(ICCC 2012)
[4] TMAC: Timestamp-ordered MAC for CSMA/CA Wireless Mesh Networks.
(ICCCN 2011)
[3] TMAC: Timestamp-Ordered MAC Protocol for Wireless Mesh Networks.
(MS Thesis 2011)

Other work on large-scale data processing
[2] Graph Summarization for Geo-correlated Trends Detection in Social Networks
(SIGMOD 2016 Undergraduate Research Poster Competition)
[1] MaaT: Effective and scalable coordination of distributed transactions in the cloud.
(VLDB 2014)

PhD Student