In recent years, we observe a growing interest focused on distributed computing systems. Both industry and academia require increasing computational power to process and analyze large amount of data, including significant areas like analysis of medical data, earthquake, or weather forecast. Since ...
computing infrastructureOne of information technology's most alluring promises lies in its potential for enabling knowledge work. The evolution of distributed computing has created an opportunity for knowledge workers to customize their rapidly evolving computing environment. In this new environment, highly ...
The state of the art in distributed query processing (e.g., modern network technology), a number of issues make distributed data processing still a complex undertaking: (1) distributed systems can become ... Kossmann,Donald - 《Acm Computing Surveys》 被引量: 1587发表: 2000年 Optimizing ...
Package: RevoScaleR > Distributed ComputingOn SLES 11 systems, there have been reports of threading interference between the Boost and MKL libraries. The value of consoleOutput that is set in the RxHadoopMR compute context when wait=FALSE determines whether or not consoleOutput is displayed when ...
K Hwang,H Jin,R Ho - International Symposium on High-performance Distributed Computing 被引量: 149发表: 2002年 Scalability issues in cloud computing The following topics are dealt with: ad hoc & sensor networks; agent based systems; autonomous computing; body area network; cloud computing; cluste...
1. A networked computer system comprising: a plurality of nodes, each node comprising: at least one processor; and a memory coupled to the at least one processor; a distributed database residing in the memory of the plurality of nodes; a distributed virtual network mechanism that includes a ...
Package: RevoScaleR > Distributed Computing On SLES 11 systems, there have been reports of threading interference between the Boost and MKL libraries. The value of consoleOutput that is set in theRxHadoopMRcompute context whenwait=FALSEdetermines whether or notconsoleOutputis displayed whenrxGetJobResu...
The huge data volume result in that today's processing and storage capabilities cannot meet the demands (He et al., 2017). And it is difficult to be handled by traditional computing models, such as distributed computing, cloud computing, etc. Cloud computing has been used as an efficient ...
Large Scale Data Management in Grid Systems: a Survey Today the grid computing, intended initially for the intensive computing, open towards the management of voluminous, heterogeneous, and distributed data on... A Hameurlain,F Morvan,ME Samad - International Conference on Information & Communication...
Software has been a key driver of computing since the 1980s. In a 2011 essay, “Software is Eating the World,” technologist and investor Marc Andreessen wrote that “we are in the middle of a dramatic and broad technological and economic shift in which software companies are poised to take...