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Anastasia Ailamaki

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Publications associées (179)

Adaptive Physical Design for Curated Archives

Anastasia Ailamaki, Debabrata Dash

We introduce AdaptPD, an automated physical design tool that improves database performance by continuously monitoring changes in the workload and adapting the physical design to suit the incoming workload. Current physical design tools are offline and requ ...

2009

Reactive NUCA: Near-Optimal Block Placement and Replication in Distributed Caches

Anastasia Ailamaki, Babak Falsafi, Michael Ferdman

Increases in on-chip communication delay and the large working sets of server and scientific workloads complicate the design of the on-chip last- level cache for multicore processors. The large working sets favor a shared cache design that maximizes the ag ...

2009

A New Look at the Roles of Spinning and Blocking

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

Database engines face growing scalability challenges as core counts exponentially increase each processor generation, and the efficiency of synchronization primitives used to protect internal data structures is a crucial factor in overall database performa ...

2009

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

Evaluating and Repairing Write Performance on Flash Devices

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

In the last few years NAND flash storage has become more and more popular as price per GB and capacity both improve at exponential rates. Flash memory offers significant benefits compared to magnetic hard disk drives (HDDs) and DBMSs are highly likely to u ...

2009

An Economic Model for Self-tuned Cloud Caching

Anastasia Ailamaki, Debabrata Dash

Cloud computing, the new trend for service infrastructures requires user multi-tenancy as well as minimal capital expenditure. In a cloud that services large amounts of data that are massively collected and queried, such as scientific data, users typically ...

2009

Temporal instruction fetch streaming

Anastasia Ailamaki, Babak Falsafi, Michael Ferdman

L1 instruction-cache misses pose a critical performance bottleneck in commercial server workloads. Cache access latency constraints preclude L1 instruction caches large enough to capture the application, library, and OS instruction working sets of these wo ...

2008

Middleware-based Database Replication: The Gaps Between Theory and Practice

George Candea, Emmanuel Cecchet, Anastasia Ailamaki

The need for high availability and performance in data management systems has been fueling a long running interest in database replication from both academia and industry. However, academic groups often attack replication problems in isolation, overlooking ...

2008

Middleware-based Database Replication: The Gaps Between Theory and Practice

George Candea, Emmanuel Cecchet, Anastasia Ailamaki

ACM2008

Temporal streams in commercial server applications

Anastasia Ailamaki, Babak Falsafi, Michael Ferdman

Commercial server applications remain memory bound on modern multiprocessor systems because of their large data footprints, frequent sharing, complex non-strided access patterns, and long chains of dependant misses. To improve memory system performance des ...

2008

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

An Analysis of Database System Performance on Chip Multiprocessors

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

2007

Mechanisms for store-wait-free multiprocessors

Anastasia Ailamaki, Babak Falsafi

Store misses cause significant delays in shared-memory multiprocessors because of limited store buffering and ordering constraints required for proper synchronization. Today, programmers must choose from a spectrum of memory consistency models that reduce ...

2007

Efficient Use of the Query Optimizer for Automated Database Design

Anastasia Ailamaki, Debabrata Dash

State-of-the-art database design tools rely on the query optimizer for comparing between physical design alternatives. Although it provides an appropriate cost model for physical design, query optimization is a computationally expensive process. The signif ...

2007

Scheduling threads for constructive cache sharing on CMPs

Anastasia Ailamaki, Babak Falsafi

In chip multiprocessors (CMPs), limiting the number of offchip cache misses is crucial for good performance. Many multithreaded programs provide opportunities for constructive cache sharing, in which concurrently scheduled threads share a largely overlappi ...

2007

Improving instruction cache performance in OLTP

Anastasia Ailamaki

Instruction-cache misses account for up to 40%; of execution time in online transaction processing (OLTP) database workloads. In contrast to data cache misses, instruction misses cannot be overlapped with out-of-order execution. Chip design limitations do ...

Association for Computing Machinery2006

Efficient query processing on unstructured tetrahedral meshes

Anastasia Ailamaki

Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to terabyte-scale data volumes [32, 10]. The most common way to discretize the app ...

2006

On Multidimensional Data and Modern Disks

Anastasia Ailamaki

With the deeply-ingrained notion that disks can efficiently access only one dimensional data, current approaches for mapping multidimensional data to disk blocks either allow efficient accesses in only one dimension, trading off the efficiency of accesses ...

USENIX Association2005

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