Publications de Raja Appuswamy

A system design for elastically scaling transaction processing engines in virtualized servers

Anastasia Ailamaki, Hillel Avni, Raja Appuswamy, Angelos Christos Anadiotis

Online Transaction Processing (OLTP) deployments are migrating from on-premise to cloud settings in order to exploit the elasticity of cloud infrastructure which allows them to adapt to workload variations. However, cloud adaptation comes at the cost of re ...

ASSOC COMPUTING MACHINERY2020

Taster: Self-Tuning, Elastic and Online Approximate Query Processing

Anastasia Ailamaki, Matthaios Alexandros Olma, Raja Appuswamy, Odysseas Papapetrou

Current Approximate Query Processing (AQP) engines are far from silver-bullet solutions, as they adopt several static design decisions that target specific workloads and deployment scenarios. Offline AQP engines target deployments with large storage budget ...

IEEE2019

Hardware-conscious Hash-Joins on GPUs

Anastasia Ailamaki, Manolis Karpathiotakis, Raja Appuswamy, Panagiotis Sioulas, Periklis Chrysogelos

Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...

IEEE2019

The Five-Minute Rule 30 Years Later and Its Impact on the Storage Hierarchy

Anastasia Ailamaki, Renata Borovica-Gajic, Raja Appuswamy

ASSOC COMPUTING MACHINERY2019

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

Anastasia Ailamaki, Manolis Karpathiotakis, Raja Appuswamy, Periklis Chrysogelos

Modern server hardware is increasingly heterogeneous as hardware accelerators, such as GPUs, are used together with multicore CPUs to meet the computational demands of modern data analytics workloads. Unfortunately, query parallelization techniques used by ...

2019

The Case For Heterogeneous HTAP

Anastasia Ailamaki, Danica Porobic, Manolis Karpathiotakis, Raja Appuswamy

2017

The Five minute Rule Thirty Years Later and its Impact on the Storage Hierarchy

Anastasia Ailamaki, Renata Borovica-Gajic, Raja Appuswamy

2017

Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads

Anastasia Ailamaki, Danica Porobic, Raja Appuswamy, Angelos Christos Anadiotis, Mustafa Kamil Iman

2017

Cheap Data Analytics using Cold Storage Devices

Anastasia Ailamaki, Renata Borovica-Gajic, Raja Appuswamy

Enterprise databases use storage tiering to lower capital and operational expenses. In such a setting, data waterfalls from an SSD-based high-performance tier when it is "hot" (frequently accessed) to a disk-based capacity tier and finally to a tape-based ...

Assoc Computing Machinery2016

Raja Appuswamy

Graph Chatbot

A system design for elastically scaling transaction processing engines in virtualized servers

Taster: Self-Tuning, Elastic and Online Approximate Query Processing

Hardware-conscious Hash-Joins on GPUs

The Five-Minute Rule 30 Years Later and Its Impact on the Storage Hierarchy

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

The Case For Heterogeneous HTAP

The Five minute Rule Thirty Years Later and its Impact on the Storage Hierarchy

Analyzing the Impact of System Architecture on the Scalability of OLTP Engines for High-Contention Workloads

Cheap Data Analytics using Cold Storage Devices

OLTP on a server-grade ARM: power, throughput and latency comparison

DBMS Data Loading: An Analysis on Modern Hardware

More Than A Network: Distributed OLTP on Clusters of Hardware Islands