scholarly journals Verifying strong eventual consistency in distributed systems

2017 ◽  
Vol 1 (OOPSLA) ◽  
pp. 1-28 ◽  
Author(s):  
Victor B. F. Gomes ◽  
Martin Kleppmann ◽  
Dominic P. Mulligan ◽  
Alastair R. Beresford
Keyword(s):  
Distributed Systems ◽  
Eventual Consistency

scholarly journals A Review of Polyglot Persistence in the Big Data World

Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 141 ◽  
Author(s):  
Pwint Phyu Khine ◽  
Zhaoshun Wang
Keyword(s):  
Big Data ◽  
Distributed Systems ◽  
Query Language ◽  
Point Of View ◽  
Data Systems ◽  
Data Intensive ◽  
Soft State ◽  
Eventual Consistency ◽  
Big Data Systems ◽  
The Relationship

The inevitability of the relationship between big data and distributed systems is indicated by the fact that data characteristics cannot be easily handled by a standalone centric approach. Among the different concepts of distributed systems, the CAP theorem (Consistency, Availability, and Partition Tolerant) points out the prominent use of the eventual consistency property in distributed systems. This has prompted the need for other, different types of databases beyond SQL (Structured Query Language) that have properties of scalability and availability. NoSQL (Not-Only SQL) databases, mostly with the BASE (Basically Available, Soft State, and Eventual consistency), are gaining ground in the big data era, while SQL databases are left trying to keep up with this paradigm shift. However, none of these databases are perfect, as there is no model that fits all requirements of data-intensive systems. Polyglot persistence, i.e., using different databases as appropriate for the different components within a single system, is becoming prevalent in data-intensive big data systems, as they are distributed and parallel by nature. This paper reflects the characteristics of these databases from a conceptual point of view and describes a potential solution for a distributed system—the adoption of polyglot persistence in data-intensive systems in the big data era.

scholarly journals Traquest Model

2021 ◽  
Vol 25 (2) ◽  
pp. 435-468
Author(s):  
Dániel Balázs Rátai ◽  
Zoltán Horváth ◽  
Zoltán Porkoláb ◽  
Melinda Tóth
Keyword(s):  
Distributed Systems ◽  
Network Capacity ◽  
Acid Properties ◽  
Essential Properties ◽  
Concurrency Model ◽  
Eventual Consistency

Atomicity, consistency, isolation and durability are essential properties of many distributed systems. They are often abbreviated as the ACID properties. Ensuring ACID comes with a price: it requires extra computing and network capacity to ensure that the atomic operations are done perfectly, or they are rolled back. When we have higher requirements on performance, we need to give up the ACID properties entirely or settle for eventual consistency. Since the ambiguity of the order of the events, such algorithms can get very complicated since they have to be prepared for any possible contingencies. Traquest model is an attempt for creating a general concurrency model that can bring the ACID properties without sacrificing a too significant amount of performance.

Managing evolution in distributed systems

1989 ◽  
Vol 4 (6) ◽  
pp. 321 ◽  
Author(s):  
Jeff Kramer ◽  
Jeff Magee ◽  
Morris Sloman
Keyword(s):  
Distributed Systems

The use of GMB in the design of robust software for distributed systems

1989 ◽  
Vol 4 (5) ◽  
pp. 268 ◽  
Author(s):  
Geoffrey F. Carpenter ◽  
Andrew M. Tyrrell
Keyword(s):  
Distributed Systems
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