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Architecture | Web Services | SOA | Grid Computing
Grid Computing
Virtual Management Console
This console is a generic virtual machine management tool that seamlessly manages virtual machines created by different hyper-visors on different platforms. It simplifies management of virtual machines in a heterogeneous data center. The tool has a generic service interface for creating, managing and monitoring virtual machines, which may also be used for programmatic access to these virtual machines. As the standards for storing and accessing virtual machines evolve, this tool can leverage emerging standards to provide a feature-rich management platform. Grid Workflow Manager
Applications in the Life Sciences, Energy and Finance sectors need extensive computing resources. Many applications also require business-level workflow definitions to interact with the underlying heterogeneous grid infrastructure wherein jobs comprising the workflow can be distributed across the infrastructure. Infosys' Grid Workflow Manager allows users to submit jobs through the workflow. It provides an interface to specify relationships among different jobs to be submitted to the grid infrastructure. The workflow allows integration of applications with enterprise entities such as web services, multiple data sources and business processes. Virtualization and load balancing result in improved efficiency. Grid Operating System – A virtual execution container for grid The Grid OS provides a virtual execution container for executing grid tasks, providing isolation and ensuring minimal performance loss due to enhanced capability to provision compute resources to grid tasks. By using a package repository to build custom virtual execution domains, it reduces instantiation time substantially and prevents unwanted services from operating in the virtual domain. Grid OS is a light weight operating system that offers the benefits of virtualization to the grid environment. Grid jobs are run on virtual machine instances rather than the physical server. Embracing Grid and Virtualization technologies is imperative to realize the true potential of SOA
Shubhashis Sengupta, Hariprasad Nellitheertha and Srikanth Sundarrajan
There is a palpable sense of anticipation about SOA - the “new face” of enterprise computing and IT services paradigm. Lot of debate is going on the important SOA issues like application models, service granularity, interfaces, re-use economics etc. The story that is left untold is how some of the so called esoteric technologies like Grid and virtualization make true SOA realizable in practice; well, almost. This article appears in the SETLabs Briefings on ‘Service Oriented Architecture ’ (Jan - Mar, 2007).
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An Analysis of Application Migration to Grid Environment
Enterprises implementing grid computing have reported dramatic improvements in performance and scalability for certain categories of applications. However, actual improvement in the performance of an application to be migrated to grid is not apparent before code re-write. Hence, a systematic analysis of the benefits of deploying a legacy application on to a grid can be very useful. This research note describes a framework for such an analysis. Dynamic integration of heterogeneous enterprise data – a grid based approach
Swapnil Srikanth Bagul, Dheepak R.A., Nilesh Ranade,
D J Acharya, Shubhashis Sengupta
Business decisions require information to be available at the right time and at the right place. This necessitates information retrieval and query processing from distributed and heterogeneous data sources. Here, we discuss how service-oriented data grid technology can be leveraged to create a scalable information integration platform operating near real time. This concept is being implemented in a framework called GRADIENT. Integration of Scheduling and Replication in Data Grids
Anirban Chakrabarti, Dheepak R.A., Shubhashis Sengupta
Accepted in HiPC 2004 conference, Bangalore, India (www.hipc.org
).Data Grids seek to harness geographically distributed resources for large-scale data-intensive problems. Such problems involve loosely coupled jobs and large data sets distributed remotely.
(
The paper you are trying to access is not available as a free download. Please contact us to know more about how you can obtain a copy of the same.)Performance modeling for the Grid
Sengupta S.
As Grid computing gets mainstream, more applications are getting Grid enabled to achieve high performance. However, running on Grid does not automatically ensure uniform speedup and scalability for an application.
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