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 Ph.D. student in the Computer Science Department at UC Santa Barbara and a member of the Distributed Systems Lab (DSL). I work at the intersection of data management and distributed systems in the area of Global-Scale Data Management. Also, I have worked in collaboration with HP Labs and Microsoft Research in the area of data management on emerging hardware technology.

Research Statement - Teaching Statement - C.V.

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.

[21] Multi-Representation Based Data Processing Architecture for IoT Applications

(ICDCS 2017)

[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