Kniha Resource Management for Big Data Platforms Florin Pop

Resource Management for Big Data Platforms

Algorithms, Modelling, and High-Performance Computing Techniques

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 8-11 dní
149.73
Serving as a flagship driver towards advance research in the area of Big Data platforms and applicat...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2018
Stránok
516
EAN
9783319831558
Enbook ID
20118932
Hmotnosť
1083
Rozmery
155 x 235 x 28

Kompletný popis

Serving as a flagship driver towards advance research in the area of Big Data platforms and applications, this book provides a platform for the dissemination of advanced topics of theory, research efforts and analysis, and implementation oriented on methods, techniques and performance evaluation. In 23 chapters, several important formulations of the architecture design, optimization techniques, advanced analytics methods, biological, medical and social media applications are presented. These chapters discuss the research of members from the ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet). This volume is ideal as a reference for students, researchers and industry practitioners working in or interested in joining interdisciplinary works in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers to grasp the key concerns and their potential solutions.

Mohlo by vás zaujímať

Media in the Middle East

Zubaidah Abdul Jalil
113.42

Girl Dinner

BLAKE OLIVIE
20.40
13.63

Carbon Inequality

Dario Kenner
71.62

Morality as a Religion

W. R. Washington Sullivan
22.56
15.20
13.63
13.04

Topology Optimization

Martin Ph. Bendsoe
139.72
19.71
276.89

SUMMER THOUGHTS

EINOJUHA RAUTAVAARA
14.32

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

Nemoj zajebat!

Jens Lapidus
23.54
30.11
34.63
13.24
64.06
46.89

Bumblebee Fighter

Janik Hartelt
14.51

El contrabandista

Alfonso Cordal Rodriguez
9.02
13.14