Prof. Daniel Hendler

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Exploiting locality in lease-based replicated transactional memory via task migration

Danny Hendler, Alex Naiman, Sebastiano Peluso, Francesco Quaglia, Paolo Romano, Adi Suissa

We present LILAC-TM, the first locality-aware Distributed Software Transactional Memory (DSTM) implementation. LILAC-TM is a fully decentralized lease-based replicated DSTM. It employs a novel self-optimizing lease circulation scheme based on the idea of dynamically determining whether to migrate transactions to the nodes that own the leases required for their validation, or to demand the acquisition of these leases by the node that originated the transaction. Our experimental evaluation establishes that LILAC-TM provides significant performance gains for distributed workloads exhibiting data locality, while typically incurring little or no overhead for non-data local workloads.

Publication language English
Pages 121-133
Publication status Published - 01.12.2013

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science
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Link to publication in Scopus