Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	September 2012
Genre:	EDV / Informatik
	academic cloud infrastructure / advanced cloud data analysis techniques / Cloud Computing / COMPUTERS / Distributed Systems / Cloud Computing / data analytics optimization / multidimensional database systems / parallel data processing / real-time scheduling algorithms / resource allocation strategies mehr...
ISBN:	9781466507821
EAN-Code:	9781466507821
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 229 mm / B 152 mm / D
Gewicht:	590 gr
Seiten:	232
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The book delineates many concepts, models, methods, algorithms, and software used in cloud computing. After a general introduction to the field, the text covers resource management, including scheduling algorithms for real-time tasks and practical algorithms for user bidding and auctioneer pricing. It next explains approaches to data analytical query processing, including pre-computing, data indexing, and data partitioning. Applications of MapReduce, a new parallel programming model, are then presented. The authors also discuss how to optimize multiple group-by query processing and introduce a MapReduce real-time scheduling algorithm. A useful reference for studying and using MapReduce and cloud computing platforms, this book presents various technologies that demonstrate how cloud computing can meet business requirements and serve as the infrastructure of multidimensional data analysis applications.