4 Search Results for "Ramalhete, Pedro"

Document
DOI: 10.4230/LIPIcs.OPODIS.2025.17
Recoverable Lock-Free Locks

Authors: Hagit Attiya, Panagiota Fatourou, Eleftherios Kosmas, and Yuanhao Wei

Published in: LIPIcs, Volume 361, 29th International Conference on Principles of Distributed Systems (OPODIS 2025)

Abstract
This paper presents the first transformation that introduces both lock-freedom and recoverability. Our transformation starts with a lock-based implementation, and provides a recoverable, lock-free substitution to lock acquire and lock release operations. The transformation supports nested locks for generality and ensures recoverability without jeopardising the correctness of the lock-based implementation it is applied on.
Cite as

Hagit Attiya, Panagiota Fatourou, Eleftherios Kosmas, and Yuanhao Wei. Recoverable Lock-Free Locks. In 29th International Conference on Principles of Distributed Systems (OPODIS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 361, pp. 17:1-17:19, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{attiya_et_al:LIPIcs.OPODIS.2025.17,
  author =	{Attiya, Hagit and Fatourou, Panagiota and Kosmas, Eleftherios and Wei, Yuanhao},
  title =	{{Recoverable Lock-Free Locks}},
  booktitle =	{29th International Conference on Principles of Distributed Systems (OPODIS 2025)},
  pages =	{17:1--17:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-409-3},
  ISSN =	{1868-8969},
  year =	{2026},
  volume =	{361},
  editor =	{Arusoaie, Andrei and Onica, Emanuel and Spear, Michael and Tucci-Piergiovanni, Sara},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2025.17},
  URN =		{urn:nbn:de:0030-drops-251905},
  doi =		{10.4230/LIPIcs.OPODIS.2025.17},
  annote =	{Keywords: recoverable computing, NVM, lock, lock-freedom}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2024.6
DULL: A Fast Scalable Detectable Unrolled Lock-Based Linked List

Authors: Ahmed Fahmy and Wojciech Golab

Published in: LIPIcs, Volume 324, 28th International Conference on Principles of Distributed Systems (OPODIS 2024)

Abstract
Persistent memory (PM) has emerged as a promising technology that enables data structures to preserve their consistent state after recovering from system failures. Detectable data structures have been proposed to detect the response of the last operation of a crashed process. Various lock-free detectable and recoverable concurrent data structures have been developed in the literature. However, designing detectable lock-based structures is challenging due to the need to preserve the correctness properties of the underlying locks, such as mutual exclusion and deadlock-freedom, across failures. Therefore, lock-based detectable and persistent data structures are not as common as lock-free structures. In this work, we introduce DULL: a fast, scalable and Detectable Unrolled Lock-based Linked list. This paper presents the design and implementation of DULL, along with an evaluation of its recoverability and scalability. Experimental Results show that DULL is several-fold faster than the competition in all workloads that involve updates. Moreover, as opposed to some of the previous works, our algorithm is scalable when the multiprocessor is oversubscribed. DULL is a demonstration of the feasibility of using lock-based data structures with detectability in PM environments. We believe that DULL opens up new research directions for designing and analyzing detectable lock-based data structures.
Cite as

Ahmed Fahmy and Wojciech Golab. DULL: A Fast Scalable Detectable Unrolled Lock-Based Linked List. In 28th International Conference on Principles of Distributed Systems (OPODIS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 324, pp. 6:1-6:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{fahmy_et_al:LIPIcs.OPODIS.2024.6,
  author =	{Fahmy, Ahmed and Golab, Wojciech},
  title =	{{DULL: A Fast Scalable Detectable Unrolled Lock-Based Linked List}},
  booktitle =	{28th International Conference on Principles of Distributed Systems (OPODIS 2024)},
  pages =	{6:1--6:25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-360-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{324},
  editor =	{Bonomi, Silvia and Galletta, Letterio and Rivi\`{e}re, Etienne and Schiavoni, Valerio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2024.6},
  URN =		{urn:nbn:de:0030-drops-225429},
  doi =		{10.4230/LIPIcs.OPODIS.2024.6},
  annote =	{Keywords: detectability, lock-based, mutual exclusion, linked list, fault-tolerance, persistent memory, concurrency}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2024.5
RMR-Efficient Detectable Objects for Persistent Memory and Their Applications

Authors: Sahil Dhoked, Ahmed Fahmy, Wojciech Golab, and Neeraj Mittal

Published in: LIPIcs, Volume 324, 28th International Conference on Principles of Distributed Systems (OPODIS 2024)

Abstract
We describe a novel construction of arbitrary read-modify-write (RMW) primitives in a persistent shared memory model with process failures. Our construction uses blocking synchronization, in the form of recoverable mutual exclusion (RME), and is optimal in terms of the widely studied remote memory reference (RMR) complexity measure. The implemented objects tolerate either system-wide or independent process crashes, depending on the RME lock used, and also provide detectability for resolving the outcome of operations interrupted by failures. We prove that our construction is RMR-optimal using a reduction back to the RME problem. Our proof technique introduces a novel algorithmic style that enables solving challenging synchronization problems using a common execution path for both the system-wide and independent failure models, which previously required separate analyses, and relies only on a suitable implementation of the detectable base objects in each model to achieve RMR efficiency. Experiments demonstrate that our construction outperforms prior wait-free and lock-free algorithms on a multiprocessor with Intel Optane persistent memory.
Cite as

Sahil Dhoked, Ahmed Fahmy, Wojciech Golab, and Neeraj Mittal. RMR-Efficient Detectable Objects for Persistent Memory and Their Applications. In 28th International Conference on Principles of Distributed Systems (OPODIS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 324, pp. 5:1-5:26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@InProceedings{dhoked_et_al:LIPIcs.OPODIS.2024.5,
  author =	{Dhoked, Sahil and Fahmy, Ahmed and Golab, Wojciech and Mittal, Neeraj},
  title =	{{RMR-Efficient Detectable Objects for Persistent Memory and Their Applications}},
  booktitle =	{28th International Conference on Principles of Distributed Systems (OPODIS 2024)},
  pages =	{5:1--5:26},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-360-7},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{324},
  editor =	{Bonomi, Silvia and Galletta, Letterio and Rivi\`{e}re, Etienne and Schiavoni, Valerio},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2024.5},
  URN =		{urn:nbn:de:0030-drops-225417},
  doi =		{10.4230/LIPIcs.OPODIS.2024.5},
  annote =	{Keywords: persistent memory, synchronization, recoverability, fault tolerance, detectability, scalability, RMR complexity, theory, mutual exclusion}
}
Document
DOI: 10.4230/LIPIcs.OPODIS.2022.5
EEMARQ: Efficient Lock-Free Range Queries with Memory Reclamation

Authors: Gali Sheffi, Pedro Ramalhete, and Erez Petrank

Published in: LIPIcs, Volume 253, 26th International Conference on Principles of Distributed Systems (OPODIS 2022)

Abstract
Multi-Version Concurrency Control (MVCC) is a common mechanism for achieving linearizable range queries in database systems and concurrent data-structures. The core idea is to keep previous versions of nodes to serve range queries, while still providing atomic reads and updates. Existing concurrent data-structure implementations, that support linearizable range queries, are either slow, use locks, or rely on blocking reclamation schemes. We present EEMARQ, the first scheme that uses MVCC with lock-free memory reclamation to obtain a fully lock-free data-structure supporting linearizable inserts, deletes, contains, and range queries. Evaluation shows that EEMARQ outperforms existing solutions across most workloads, with lower space overhead and while providing full lock freedom.
Cite as

Gali Sheffi, Pedro Ramalhete, and Erez Petrank. EEMARQ: Efficient Lock-Free Range Queries with Memory Reclamation. In 26th International Conference on Principles of Distributed Systems (OPODIS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 253, pp. 5:1-5:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{sheffi_et_al:LIPIcs.OPODIS.2022.5,
  author =	{Sheffi, Gali and Ramalhete, Pedro and Petrank, Erez},
  title =	{{EEMARQ: Efficient Lock-Free Range Queries with Memory Reclamation}},
  booktitle =	{26th International Conference on Principles of Distributed Systems (OPODIS 2022)},
  pages =	{5:1--5:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-265-5},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{253},
  editor =	{Hillel, Eshcar and Palmieri, Roberto and Rivi\`{e}re, Etienne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2022.5},
  URN =		{urn:nbn:de:0030-drops-176253},
  doi =		{10.4230/LIPIcs.OPODIS.2022.5},
  annote =	{Keywords: safe memory reclamation, lock-freedom, snapshot, concurrency, range query}
}
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