Extending Grids with Cloud Resource Management for Scientific Computing Seminar Report

Introduction to Extending Grids with Cloud Resource Management for Scientific Computing Seminar Topic:

Extending Grids with Cloud Resource Management for Scientific Computing explains about using  super computers, scientific computing is constant to the next levels such as cluster computing, Meta computing. Grid computing gained the high popularity in the field of scientific computing. Scientific computing is a traditional high work load.

Today in this generation cloud computing is emerging as the paradigm for the next generation of large scale scientific computing, the cloud computing has the four main advantages they are

  1. The cloud cannot buy their own hardware they promote the concept of leasing remote resources which frees from permanent maintenance costs and eliminate the burden of hardware.
  2. Cloud technology reduces cost of installation by removing extra hardware applications that need to be added to super computer but fulfills recruitment. To the resources needed. Through the new concept of “scaling-by credit card”.
  3. The concept of hardware virtualization can represent a significant breakthrough automatic and scalable deployment of complex scientific software.
  4. The provision of resources through business relationships contains specialized data Centre companies in offering reliable services which existing grid infrastructure fail to deliver. For scientific applications there exist several integrated environments for transparent programming and high performance.

Background concepts:

There are several workflow execution middle wares for grid computing, it is used to support the new type of cloud infrastructure.


ASKALON is a grid application. In this the user composes workflow application at a high level of abstraction using a UML graphical modeling tool. The abstract workflow is given in a XML form to the ASKALON middleware services for transparent execution on to the grid.


It is used for the provisioning services through internet which are built like utilities. The most popular interpretation of cloud computing is infrastructure as a service (iaas).  Iaas provides modern hardware facilities to customers that pay only for what you use effectively.

Virtualization in (iaas) is distributed, automatic, scalable, deployment, installation and maintenance software. 

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