Essays about: "State Backends"
Found 5 essays containing the words State Backends.
-
1. External Streaming State Abstractions and Benchmarking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Distributed data stream processing is a popular research area and is one of the promising paradigms for faster and efficient data management. Application state is a first-class citizen in nearly every stream processing system. Nowadays, stream processing is, by definition, stateful. READ MORE
-
2. Comparison of State Backends for Modern Stream Processing System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Distributed Stream Processing is a very popular computing paradigm used invarious modern computer systems. An important aspect of distributed streamprocessing systems is how they deal with computation state bigger than thesystem memory. READ MORE
-
3. Resolution Independent Path Rendering of Dynamic Geometry
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Vector graphics rendering is the subject of a large number of research papers. However, many of them lack results regarding animated vector graphics despite its importance in many fields. In this thesis the resolution independent rendering of animated graphics is studied. READ MORE
-
4. FlinkNDB : Guaranteed Data Streaming Using External State
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Apache Flink is a stream processing framework that provides a unified state management mechanism which, at its core, treats stream processing as a sequence of distributed transactions. Flink handles failures, re-scaling and reconfiguration seamlessly via a form of a two-phase commit protocol that periodically commits all past side effects consistently into the state backends. READ MORE
-
5. Efficient Storage Backends for IoT Data : Consistent global state for input and coordination data in the Internet of Things
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Storing information is at the core of almost every Internet-of-Things (IoT) middleware, which poses challenges relating to scalability, fault-tolerance and correctness. This is even more relevant for a subset of IoT platform architectures that use a database abstraction to connect IoT components and treat data that represents physical state, control output, or inferred information in a uniform manner. READ MORE