Publications by Raja Appuswamy

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

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

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, Raja Appuswamy, Matthaios Alexandros Olma, 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, Periklis Chrysogelos, Panagiotis Sioulas

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, Raja Appuswamy, Renata Borovica-Gajic

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, Manolis Karpathiotakis, Danica Porobic, Raja Appuswamy

2017

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

Anastasia Ailamaki, Raja Appuswamy, Renata Borovica-Gajic

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, Raja Appuswamy, Renata Borovica-Gajic

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

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

Anastasia Ailamaki, Raja Appuswamy, Utku Sirin

ACM Press2016