Euro-Par 2001 Parallel Processing: ProceedingsKosch, H., Sampaio, P.R.F., Hameurlain, A., Brunie, L.: Topic 05 parallel and distributed databases, data mining and knowledge discovery. In: Sakellariou, R., Keane, J.A., Gurd, J.R., Freeman, L. (eds.) Euro-Par 2001. LNCS, vol...
(combinatorial, scientific, engineering, data analysis, and visualization) that use parallel and distributed computing concepts. Papers submitted to this track are expected to incorporate innovations that originate in specific target application areas, and contribute novel methods and approaches that address...
Talia, D., Larriba-Pey, J.L., Kargupta, H., Pacitti, E. (2008). Topic 5: Parallel and Distributed Databases. In: Luque, E., Margalef, T., Benítez, D. (eds) Euro-Par 2008 – Parallel Processing. Euro-Par 2008. Lecture Notes in Computer Science, vol 5168. Springer, Berlin, ...
Parallel and Distributed Processing and Applications, pages 845-852.Stewart A.; Gabarr´o J.; Clint M.; Harmer T.; Kilpatrick P.; Perrott R.: Managing Grid Computations: An Orc-Based Approach. In M. Guo et al, editors, Parallel and Distributed Processing and Applications (ISPA 2006), ...
The 22nd IEEE International Symposium on Parallel and Distributed Processing with Applications (IEEE ISPA 2024) is a forum for presenting leading work on parallel and distributed computing and networking, including architecture, compilers, runtime systems, applications, reliability, security, parallel progra...
The shell segment mini-Cubes and their aggregate Cuboids are dynamically constructed from these shell segment mini-Cubes through the data grid orparallel and distributed processing system. 提出一种高维Cube的划分和并行分布式处理方法PHD_Cube,将高维Cube分割成若干个低维立方体mini-Cube,利用数据网格技术和并行...
and, viewed as such, WSNs are unique in being constrained to an unprecedented extent compared to the predominant distributed computing platforms (e.g., the Web over the Internet). The constraint we focus on in this paper is that of depletable energy stocks for mote-level WSNs, i.e., WSNs...
Distributed Data-Parallel Programs from Sequential Data Processing in CloudMany-task computinghighthroughput computingloosely coupled applicationscloud computingMap-Reduce are a programming model that enables easy development of scalable parallel applications to process vast amounts of data on large clusters ...
Special issue on Keeping up with Technology: Teaching Parallel, Distributed and High-Performance Computing select article Exploring data science workflows: A practice-oriented approach to teaching processing of massive datasets Research articleAbstract only ...
Synonyms Scalable decision support systems High performance data warehousing Definition To support the burgeoning data volumes now encountered in decision support environments, parallel and distributed data warehouses are being deployed with greater frequency. Having evolved from haphazard and often poorly ...