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Data synchronization-long a staple in le systems-is emerging as a signicant communications primitive. In a distributed system, data synchronization resolves di erences among distributed sets of information. In named data networking (NDN), an information-centric communications architecture, data synchronization between multiple nodes is widely used to support basic services, such as public key distribution,...
The ability to access and query data stored in multiple versions is an important asset for many applications, such as Web graph analysis, collaborative editing platforms, data forensics, or correlation mining. The storage and retrieval of versioned data requires a specific API and support from the storage layer. The choice of the data structures used to maintain versioned data has a fundamental impact...
It is expected that the first exascale supercomputer will be deployed within the next 10 years, but which programming model will allow easy development and yet scalable and efficient programs is still not known. One of the programming models considered to be feasible is the so-called partitioned global address space~(PGAS) model, which allows easy development by providing one common memory address...
This paper proposes a novel event detection algorithm in Cyber-Physical Systems that uses the concept of interrupts in embedded systems. An event is produced when a new entity emerges in an area. We use the term distributed interrupt due to the distributed nature of an emergent event. Our algorithm generates distributed interrupts using decentralized inter-node collaborations, computes interrupt latency...
In this paper, we focus on reducing bandwidth utilization and processing cost by minimizing the amount of internal data updates in a distributed data system. The considered system can be a distributed database, a mobile application, or a communication protocol. Our essential approach is to rely on frequent internal updates instead of immediate change notifications to synchronize inter-dependent data...
Sparse and unstructured computations are widely involved in scientific and engineering applications. It means that data arrays could be indexed indirectly through the values of other arrays or non-affine subscripts. Data access pattern would not be known until runtime. So far all the parallel computing strategies for this kind of irregular problem are single network topology oriented, which cannot...
As the complexity of modern systems grow, the level of abstraction of their descriptions must similarly increase, as evidenced by the growing shift towards Transaction Level Modeling (TLM). While these methodologies are useful in abstracting the complexity of the computation, their lack of a formal foundation for representing concurrency makes the modeling of complex communication patterns difficult...
The development of an open architecture for multimedia data integration and visualization in template based distributed applications is a challenge for the scientific researches. Because of characteristics of multimedia data, their management and querying techniques are unlike than those of traditional data. We can increase the potential use of multimedia data across various applications by storing...
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