Name: Trust Aware Meta Heuristic Workflow scheduling in Scalable Cloud (en Inglés)
Price: 57.93 USD
Availability: InStock
Author: Gupta, Punit ; Gaur, Navaditya
ISBN: 9786200497536

portada Trust Aware Meta Heuristic Workflow scheduling in Scalable Cloud (en Inglés)

Trust Aware Meta Heuristic Workflow scheduling in Scalable Cloud (en Inglés)

Formato

Libro Físico

Autor

Punit Gupta

Navaditya Gaur

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.4 cm

Peso

0.11 kg.

ISBN13

9786200497536

Categorías

Tecnología de la información: cuestiones generales

Trust Aware Meta Heuristic Workflow scheduling in Scalable Cloud (en Inglés)

Punit Gupta (Autor) · Navaditya Gaur (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Trust Aware Meta Heuristic Workflow scheduling in Scalable Cloud (en Inglés)"

Cloud computing is a virtualized shared pool of hardware. It is playing a prominent role in service-oriented computing paradigm. Service-oriented computing is a subset of utility computing. There are various features of utility-based computing. Utility computing paradigm includes cloud computing and grid computing. It provides hardware and application software as a service. Efficient resource management is one of the claiming concern in scalable shared pool of blade servers. The shared pool of servers places in different time zone. In scalable cloud aura, trust-based dependent tasks scheduling is the prominent affair. Specifically we focus on dependent tasks provisioning. The performance metrics include execution time, failure probability, and reliability. The performance metrics are measured using the trust aware Max-Min and trust aware Min-Min scheduling. The proposed trust aware Min-Min scheduling, and trust aware Max-Min techniques outperform the Min-Min, and Max-Min approaches. The performance metrics are measured using various types of tasks. The failure probability, Reliability, and execution time measure the level of trust of the TMax-Min and TMin-Min techniques.