Anticlimax
发表于 2025-3-30 11:50:20
http://reply.papertrans.cn/24/2381/238069/238069_51.png
新手
发表于 2025-3-30 14:39:47
Replica-Based High-Performance Tuple Space Computingable solutions to the challenging problems of data distribution and locality in large-scale high performance computing. In particular, . allows the programmer to specify and coordinate the replication of shared data items and the desired consistency properties. The programmer can hence exploit such
勉强
发表于 2025-3-30 17:13:24
Investigating Fluid-Flow Semantics of Asynchronous Tuple-Based Process Languages for Collective Adapf adaptive and context-aware coordination, among which the promising pheromone-based interaction paradigm. System modelling in the context of such a paradigm may be facilitated by the use of languages in which adaptive interaction is decoupled in time and space through asynchronous buffered communic
说笑
发表于 2025-3-30 20:52:15
http://reply.papertrans.cn/24/2381/238069/238069_54.png
很是迷惑
发表于 2025-3-31 01:45:10
Comingle: Distributed Logic Programming for Decentralized Mobile Ensemblesare written as a single declarative program (in a system-centric way) rather than in the traditional node-centric manner, where separate communicating code is written for each participating node. Comingle is based on committed-choice multiset rewriting and is founded on linear logic. We describe a p
聚集
发表于 2025-3-31 07:48:12
Dynamic Choreographies at runtime is even harder..We present ., a language for programming distributed applications that are free from deadlocks and races by construction. A . program describes a whole distributed application as a unique entity (choreography). . allows the programmer to specify which parts of the applica
名次后缀
发表于 2025-3-31 12:56:12
http://reply.papertrans.cn/24/2381/238069/238069_57.png
GROSS
发表于 2025-3-31 13:49:27
A Fixpoint-Based Calculus for Graph-Shaped Computational Fieldsputational fields are particularly appealing for allowing components to join and leave with little or no overhead. In our approach, the space topology is represented by a graph-shaped field, namely a network with attributes on both nodes and arcs, where arcs represent interaction capabilities betwee