Lecture Notes in Computer Science 5401, 2008Causality tracking mechanisms, such as vector clocks and version vectors, rely on mappings from globally unique identifiers to integer counters. In a system with a well known set of entities these ids can be preconfigured and given distinct positions in a vector or distinct names in a mapping. Id management is more problematic in dynamic systems, with large and highly variable number of entities, being worsened when network partitions occur. Present solutions for causality tracking are not appropriate to these increasingly common scenarios. In this paper we introduce Interval Tree Clocks, a novel causality tracking mechanism that can be used in scenarios with a dynamic number of entities, allowing...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Causality plays a central role as a building block in solving important problems in distributed sys...
Causality plays a central role as a building block in solving important problems in distributed sys...
Tracking causality should not be ignored. It is important in the design of many distributed algorith...
Vector clocks are the appropriate mechanism used to track causality among the events produced by a d...
Lecture Notes in Computer Science 8460, 2014In cloud computing environments, data storage systems of...
Having small-sized logical clocks with high causal-ordering accuracy is useful, especially where (i)...
International audienceIn cloud computing environments, data storage systems often rely on optimistic...
Version vectors (VV) are used pervasively to track dependencies between replica versions in multi-ve...
A system of vector clocks is strongly consistent and it captures the happened before relations among...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Causality plays a central role as a building block in solving important problems in distributed sys...
Causality plays a central role as a building block in solving important problems in distributed sys...
Tracking causality should not be ignored. It is important in the design of many distributed algorith...
Vector clocks are the appropriate mechanism used to track causality among the events produced by a d...
Lecture Notes in Computer Science 8460, 2014In cloud computing environments, data storage systems of...
Having small-sized logical clocks with high causal-ordering accuracy is useful, especially where (i)...
International audienceIn cloud computing environments, data storage systems often rely on optimistic...
Version vectors (VV) are used pervasively to track dependencies between replica versions in multi-ve...
A system of vector clocks is strongly consistent and it captures the happened before relations among...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...
Dynamic techniques are a scalable and effective way to analyze concurrent programs. Instead of analy...