Publications de Raja Appuswamy

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

Anastasia Ailamaki, Angelos Christos Anadiotis, Raja Appuswamy, 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

Hardware-conscious Hash-Joins on GPUs

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

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

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

Anastasia Ailamaki, Periklis Chrysogelos, Manolis Karpathiotakis, Raja Appuswamy

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

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

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

Scaling the Memory Power Wall with DRAM-Aware Data Management

Anastasia Ailamaki, Raja Appuswamy, Matthaios Alexandros Olma

Improving the energy efficiency of database systems has emerged as an important topic of research over the past few years. While significant attention has been paid to optimizing the power consumption of tradition disk-based databases, little attention has ...

ACM2015

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Raja Appuswamy

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

Hardware-conscious Hash-Joins on GPUs

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

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

Cheap Data Analytics using Cold Storage Devices

Scaling the Memory Power Wall with DRAM-Aware Data Management

Putting the Pieces Together: The Construction of a Reliable Virtualizing Object-Based Storage Stack

Graph Chatbot

Chattez avec Graph Search

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

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

Cheap Data Analytics using Cold Storage Devices

Scaling the Memory Power Wall with DRAM-Aware Data Management

Putting the Pieces Together: The Construction of a Reliable Virtualizing Object-Based Storage Stack

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

Hardware-conscious Hash-Joins on GPUs