Publications by Ippokratis Pandis

Characterization of the Impact of Hardware Islands on OLTP

Anastasia Ailamaki, Pinar Tözün, Ippokratis Pandis, Danica Porobic, Miguel Sérgio De Oliveira Branco

Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and processor caches, which causes variability in the communication costs. Unfortunately, database sys ...

Springer Verlag2016

Eliminating unscalable communication in transaction processing

Anastasia Ailamaki, Frederick Ryan Johnson, Ippokratis Pandis

Multicore hardware demands software parallelism. Transaction processing workloads typically exhibit high concurrency, and, thus, provide ample opportunities for parallel execution. Unfortunately, because of the characteristics of the application, transacti ...

Springer Verlag2014

From A to E: Analyzing TPC’s OLTP Benchmarks -- The obsolete, the ubiquitous, the unexplored

Anastasia Ailamaki, Pinar Tözün, Dorde Jevdic, Ippokratis Pandis, Ilknur Cansu Kaynak

Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even though TPC-E has already been around for six years, it has not gained the popularity of its predecessor TPC-C: all the published results for TPC-E use a single database ...

2013

Toward Scalable Transaction Processing -- Evolution of Shore-MT

Anastasia Ailamaki, Frederick Ryan Johnson, Pinar Tözün, Ippokratis Pandis

Designing scalable transaction processing systems on modern multicore hardware has been a challenge for almost a decade. The typical characteristics of transaction processing workloads lead to a high degree of unbounded communication on multicores for conv ...

VLDB Endowment2013

Scalable and Dynamically Balanced Shared-Everything OLTP with Physiological Partitioning

Anastasia Ailamaki, Frederick Ryan Johnson, Pinar Tözün, Ippokratis Pandis

Scaling the performance of shared-everything transaction processing systems to highly-parallel multicore hardware remains a challenge for database system designers. Recent proposals alleviate locking and logging bottlenecks in the system, leaving page latc ...

2013

Scalability of write-ahead logging on multicore and multisocket hardware

Anastasia Ailamaki, Radu Ioan Stoica, Frederick Ryan Johnson, Manoussos Gavriil Athanassoulis, Ippokratis Pandis

The shift to multi-core and multi-socket hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommodate simultaneous requests, a multitude of synchronization ba ...

2012

OLTP on Hardware Islands

Anastasia Ailamaki, Pinar Tözün, Ippokratis Pandis, Danica Porobic, Miguel Sérgio De Oliveira Branco

Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and to the processor caches, which causes variability in the communication costs. Unfortunately, datab ...

2012

A Data-oriented Transaction Execution Engine and Supporting Tools

Anastasia Ailamaki, Frederick Ryan Johnson, Pinar Tözün, Ippokratis Pandis, Danica Porobic, Dimitrios Karampinas, Miguel Sérgio De Oliveira Branco

Conventional OLTP systems assign each transaction to a worker thread and that thread accesses data, depending on what the transaction dictates. This thread-to-transaction work assignment policy leads to unpredictable accesses. The unpredictability forces e ...

2011

PLP: Page Latch-free Shared-everything OLTP

Anastasia Ailamaki, Frederick Ryan Johnson, Pinar Tözün, Ippokratis Pandis

Scaling the performance of shared-everything on-line transaction processing to highly-parallel multicore hardware remains a great challenge for database system designers. Developments in OLTP technology remove locking and logging from being scalability bot ...

2011

Aether: A scalable approach to logging

Anastasia Ailamaki, Radu Ioan Stoica, Frederick Ryan Johnson, Manoussos Gavriil Athanassoulis, Ippokratis Pandis

The shift to multi-core hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommodate simultaneous requests, a multitude of synchronization barriers serialize ...

2010

Data-Oriented Transaction Execution

Anastasia Ailamaki, Frederick Ryan Johnson, Ippokratis Pandis

While hardware technology has undergone major advancements over the past decade, transaction processing systems have remained largely unchanged. The number of cores on a chip grows exponentially, following Moore's Law, allowing for an ever-increasing numbe ...

2010

Shore-MT: A Scalable Storage Manager for the Multicore Era

Anastasia Ailamaki, Babak Falsafi, Frederick Ryan Johnson, Ippokratis Pandis

Database storage managers have long been able to efficiently handle multiple concurrent requests. Until recently, however, a computer contained only a few single-core CPUs, and therefore only a few transactions could simultaneously access the storage manag ...

ACM2009

Improving OLTP Scalability Using Speculative Lock Inheritance

Anastasia Ailamaki, Frederick Ryan Johnson, Ippokratis Pandis

Transaction processing workloads provide ample request level concurrency which highly parallel architectures can exploit. However, the resulting heavy utilization of core database services also causes resource contention within the database engine itself a ...

2009

An Analysis of Database System Performance on Chip Multiprocessors

Anastasia Ailamaki, Babak Falsafi, Frederick Ryan Johnson, Ippokratis Pandis

Prior research shows that database system performance is dominated by off-chip data stalls, resulting in a concerted effort to bring data into on-chip caches. At the same time, high levels of integration have enabled the advent of chip multiprocessors and ...

2007

Database Servers on Chip Multiprocessors: Limitations and Opportunities

Anastasia Ailamaki, Babak Falsafi, Frederick Ryan Johnson, Ippokratis Pandis

Prior research shows that database system performance is dominated by off-chip data stalls, resulting in a concerted effort to bring data into on-chip caches. At the same time, high levels of integration have enabled the advent of chip multiprocessors and ...

2007

To Share or Not To Share?

Anastasia Ailamaki, Babak Falsafi, Frederick Ryan Johnson, Ippokratis Pandis

Intuitively, aggressive work sharing among concurrent queries in a database system should always improve performance by eliminating redundant computation or data accesses. We show that, contrary to common intuition, this is not always the case in practice, ...

2007