Comparative Analysis Between Grid And Cloud Computing
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Comparative analysis between Grid and Cloud computing
Seminar paper from the year 2013 in the subject Computer Science - Technical Computer Science, Lovely Professional University, Punjab (School of Computer Science), course: MTech C.S.E, language: English, abstract: Cloud computing is the current most trendy and social technology that has been launched on the network world which can also be called as a reincarnation or evolution of Grid computing, so the Clouds are considered as a new generation of Grid computing. These Clouds consist of data centres which are owned by individual institute, organisations or companies. The homogeneity within each data centre in the infrastructure is the main feature for the cloud computing compared to grid computing. Cloud Computing has become another most used word on internet after Web 2.0. There are many definitions for Cloud computing and there seems to be no consensus on what a Cloud is. Cloud Computing is not a completely new concept, it has intricate connection to the relatively new but thirteen year established Grid Computing paradigm and other relevant technologies such as utility computing, cluster computing, and distributed systems when we go through the structure and working of a Cloud.
Grid and Cloud Computing
Author: Katarina Stanoevska
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-11-04
In today’s dynamic business environment, IT departments are under permanent pressure to meet two divergent requirements: to reduce costs and to support business agility with higher flexibility and responsiveness of the IT infrastructure. Grid and Cloud Computing enable a new approach towards IT. They enable increased scalability and more efficient use of IT based on virtualization of heterogeneous and distributed IT resources. This book provides a thorough understanding of the fundamentals of Grids and Clouds and of how companies can benefit from them. A wide array of topics is covered, e.g. business models and legal aspects. The applicability of Grids and Clouds in companies is illustrated with four cases of real business experiments. The experiments illustrate the technical solutions and the organizational and IT governance challenges that arise with the introduction of Grids and Clouds. Practical guidelines on how to successfully introduce Grids and Clouds in companies are provided.
Grids, Clouds and Virtualization
Author: Massimo Cafaro
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-09-14
Research into grid computing has been driven by the need to solve large-scale, increasingly complex problems for scientific applications. Yet the applications of grid computing for business and casual users did not begin to emerge until the development of the concept of cloud computing, fueled by advances in virtualization techniques, coupled with the increased availability of ever-greater Internet bandwidth. The appeal of this new paradigm is mainly based on its simplicity, and the affordable price for seamless access to both computational and storage resources. This timely text/reference introduces the fundamental principles and techniques underlying grids, clouds and virtualization technologies, as well as reviewing the latest research and expected future developments in the field. Readers are guided through the key topics by internationally recognized experts, enabling them to develop their understanding of an area likely to play an ever more significant role in coming years. Topics and features: presents contributions from an international selection of experts in the field; provides a thorough introduction and overview of existing technologies in grids, clouds and virtualization, including a brief history of the field; examines the basic requirements for performance isolation of virtual machines on multi-core servers, analyzing a selection of system virtualization technologies; examines both business and scientific applications of grids and clouds, including their use in the life sciences and for high-performance computing; explores cloud building technologies, architectures for enhancing grid infrastructures with cloud computing, and cloud performance; discusses energy aware grids and clouds, workflows on grids and clouds, and cloud and grid programming models. This useful text will enable interested readers to familiarize themselves with the key topics of grids, clouds and virtualization, and to contribute to new advances in the field. Researchers, undergraduate and graduate students, system designers and programmers, and IT policy makers will all benefit from the material covered.