A state-of-the-art survey of cloud manufacturing

Abstract

Given the complexity and heterogeneity in Cloud computing scenarios, the mod-eling approach has widely been employed to investigate and analyze the energy consumption of Cloud applications, by abstracting real-world objects and processes that are difficult to observe or understand directly. It is clear that the abstraction sacrifices, and usually does not need, the complete reflection of the reality to be modeled. Consequently, current energy consumption models vary in terms of purposes, assumptions, application characteristics and environmental conditions, with possible overlaps between different research works. There-Email addresses: zheng.li@eit.lth.se (Zheng Li), selome@cs.umu.se (Selome Tesfatsion), saeed.bastani@eit.lth.se (Saeed Bastani), ahmeda@cs.umu.se (Ahmed Ali-Eldin), raj.ranjan@ncl.ac.uk (Rajiv Ranjan), fore, it would be necessary and valuable to reveal the state-of-the-art of the existing modeling efforts, so as to weave different models together to facilitate comprehending and further investigating application energy consumption in the Cloud domain. By systematically selecting, assessing and synthesizing 76 relevant studies, we rationalized and organized over 30 energy consumption models with unified notations. To help investigate the existing models and facilitate future modeling work, we deconstructed the runtime execution and deployment environment of Cloud applications, and identified 18 environmental factors and 12 workload factors that would be influential on the energy consumption. In particular, there are complicated trade-offs and even debates when dealing with the combinational impacts of multiple factors.

QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups

“…As a promising new paradigm, CMfg has drawn extensive attentions from industrial community and academia [26][27][28][29]. Notable efforts have been expended on the investigation of the following: (1) concept and architecture [30], (2) enabling technologies [31][32][33][34], and (3) application prototype platform [35][36][37].…”

A state-of-the-art study of cloud manufacturing

“…Cloud manufacturing needs collaboration between different technologies in order to improve its abilities to accomplish complex, large-scale manufacturing services and responsibilities [36]the state of the art means that modular systems and multi-layer structures are the most popular plan to build the cloud manufacturing platform or system framework. The control of services within cloud manufacturing is deemed to be a significant matter, as it needs efficient managing and adjusting to the resources and abilities manufacturing accomplish on-demand services through the cloud [37], integration of resources and abilities can happen between various clouds, as Zhang et al [22] identify, there may be two types of clouds (general clouds and Private clouds) and therefore resources interact depending on the industry requirements. Comrade networks and large exploitation usually impede their capacity to develop and to successfully manage critical manufacturing businesses, e.g.…”

Functional requirements for production Internet (Ψ)

“…Although the recent concept of cloud manufacturing hypothetically provides a significant potential to support the development of Production Internet, it still remains rather a research topic, being discussed at high level, mostly form architectural and technological point of view (e.g. [4]). …”