Tamer Eldeeb

dblp:326/9273 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 2 first-author · 3 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
YearPublicationVenuePosition
2026 Rosé: Flexible Replication With Strong Semantics For Partitioned Databases
Ioannis Zarkadas, Kelly Kostopoulou, Thomas Graham, Philip A. Bernstein, Asaf Cidon, Tamer Eldeeb
CIDR7
2024 Chablis: Fast and General Transactions in Geo-Distributed Systems
Tamer Eldeeb, Philip A. Bernstein, Asaf Cidon
CIDR1
2024 Cloud Actor-Oriented Database Transactions in Orleans
abstract
Microsoft Orleans is a popular open source distributed programming framework and platform which invented the virtual actor model, and has since evolved into an actor-oriented database system with the addition of database abstractions such as ACID transactions. Properties of Orleans' virtual actor model imply that any ACID transaction mechanism for operations spanning multiple actors must support distributed transactions on top of pluggable cloud storage drivers. Unfortunately, distributed transactions usually perform poorly in this environment, partly because of the high performance and contention overhead of performing two-phase commit (2PC) on slow cloud storage systems. In this paper we describe the design and implementation of ACID transactions in Orleans. The system uses two primary techniques to mask the high latency of cloud storage and enable high transaction throughput. First, Orleans pioneered the use of a distributed form of early lock release by releasing all of a transaction's locks during phase one of 2PC, and by tracking commit dependencies to implement cascading abort. This avoids blocking transactions while running 2PC and enables a distributed form of group commit. Second, Orleans leverages reconnaissance queries to prefetch the state of all actors involved in a transaction from cloud storage prior to running the transaction and acquiring any locks, thus ensuring no locks are held while blocking on high latency cloud storage in most cases.
Tamer Eldeeb, Sebastian Burckhardt, Reuben Bond, Asaf Cidon, Philip A. Bernstein
Proc. VLDB Endow.1
2023 Chardonnay: Fast and General Datacenter Transactions for On-Disk Databases
Tamer Eldeeb, Xincheng Xie, Philip A. Bernstein, Asaf Cidon
OSDI1