• Publications
  • Influence
Solving Big Data Challenges for Enterprise Application Performance Management
TLDR
The experience and a comprehensive performance evaluation of six modern (open-source) data stores in the context of application performance monitoring as part of CA Technologies initiative are presented.
BE-tree: an index structure to efficiently match boolean expressions over high-dimensional discrete space
TLDR
A comprehensive evaluation is conducted to demonstrate the superiority of BE-Tree in comparison with state-of-the-art index structures designed for matching Boolean expressions.
Joint Learning of Local and Global Features for Entity Linking via Neural Networks
TLDR
This work introduces a novel framework based on convolutional neural networks and recurrent neural networks to simultaneously model the local and global features for entity linking and examines the entity linking systems on the domain adaptation setting that further demonstrates the cross-domain robustness of the proposed model.
Analysis and optimization for boolean expression indexing
TLDR
This work develops two novel cache-conscious predicate evaluation techniques, namely, lazy and bitmap evaluations, that also exploit the underlying discrete and finite space to substantially reduce BE-Tree's matching time by up to 75%.
Multi-query Stream Processing on FPGAs
TLDR
A multi-query event stream processing engine is at the core of a wide range of applications including real-time data analytics, algorithmic trading, targeted advertisement, and (complex) event processing.
Relevance Matters: Capitalizing on Less (Top-k Matching in Publish/Subscribe)
TLDR
BE*-Tree is presented, a novel indexing data structure designed for effective hierarchical top-k pattern matching, which as its by-product also reduces the operational cost of processing millions of patterns.
ResilientDB: Global Scale Resilient Blockchain Fabric
TLDR
It is shown that GeoBFT is not only sound and provides great scalability, but also outperforms state-of-the-art consensus protocols by a factor of six in geo-scale deployments.
RCC: Resilient Concurrent Consensus for High-Throughput Secure Transaction Processing
TLDR
This work proposes a RCC paradigm that can turn any primary-backup consensus protocol into a concurrent consensus protocol by running many consensus instances concurrently and achieves up to 2.75× higher throughput than other consensus protocols and can be scaled to 91 replicas.
CaSSanDra: An SSD boosted key-value store
TLDR
This paper extensively evaluates the benefits of using SSDs in commercialized key-value stores, investigates the performance of hybrid SSD-HDD systems and demonstrates the Benefits of SSD caching and the novel dynamic schema model.
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