Infosys delivers concept-to-market software engineering services across the engineering value chain. Our blog will discuss the latest trends in software product engineering, outsourcing, technologies, and address business challenges.

February 18, 2010

True Integration with VSTS 2010

Microsoft (India) conducted the "VSTS 2010 Launch" session at the Infosys Bangalore campus this week to familiarize the software community with VSTS 2010 before the official launch (planned in April, 2010). The session included a keynote followed by an intensive hands-on demonstration of the various facilities that are on offer in the latest edition of Visual Studio Team System Suite. There were a number of features on demo, but what was of special importance was the support for the architect community in this release.

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Posted by Suraj Nair at 05:11 AM | | Comments (2) | TrackBacks (0)

February 03, 2010

Globalization and the Japanese Software Industry

Japanese products in the manufacturing sector have most often than not withstood intense competition from competitors all around the world. Except for the recent glitch, Japanese cars have been the most sought after the world over for various engineering attributes like performance, reliability, design etc. But, unfortunately, the same cannot be said about the Japanese software industry – though there are efforts currently underway to change the structure of this industry.

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Posted by Suraj Nair at 06:27 AM | | Comments (1) | TrackBacks (0)

January 28, 2010

Internationalization and Performance considerations

Almost always, during the design discussion of any Internationalization project, one of the questions asked by the client is, “So, will Internationalization have any impact on the performance of the application?”. No matter what you think, there is no denying the fact that Internationalization does have a performance impact on the application, whether it is big or small. There may be situations where the business benefits of Internationalization will outweigh the performance criteria and in such situations it makes sense to go ahead with Internationalization even at the cost of some amount of performance degradation. However a good design can help you in avoiding severe performance hits.

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Posted by Aviraj Singh at 06:54 AM | | Comments (0) | TrackBacks (0)

January 27, 2010

Handling Data in Enterprise Mashups

Mashups are always ever-green, hence gets the attention from all the stakeholders, be it a creator of the mashup or the user of  the mashup. Thanks to Google Maps which has taken the popularity to next level. A Typical mashup application comprises of a web application that combines data or functionality from two or more external sources to create a new service. The term Mashup implies easy, fast integration, frequently using open APIs and data sources. An example of a mashup is the use of cartographic data to add location information to real estate data, thereby creating a new and distinct web API that was not originally provided by either source. These mashups have also got its foot into enterprise business and the termed coined is “Enterprise Mashups”. Here in addition to just data the process also comes into picture. If the enterprise is SOA enabled then we can directly use the BPM engine for process orchestration. Enterprise Mash up consists of:

 

  •  Web services

     

  •  RSS Feeds

     

  •  Platform services in a cloud 

     

  •  Data

     

  •  Client Application 

     

 

In this blog, I will quickly touch upon on Data part of the mash-ups. Data in Enterprise Mashups can be in the form of:

 

  • XML data residing in RSS feeds or in webservices.

     

  • DB data

     

  • Unstructured data

     

  • JSON

     

In Mashups the processing of data is a dynamic activity hence the time taken to process the data may increase the overall execution of the mashup application. To tackle this problem distributed computing can be applied on different kinds of data as mentioned above.

 

For XML and JSON data, the parallel parsers can be used to create the Mash up. This could be multithreaded or use Multicore architecture of Intel chip at hardware level http://www.intel.com/cd/software/products/asmo-na/eng/406212.htm. On other hand we can use hadoop’s HDFS and MapReduce for un-structured data.
Hadoop is a framework based on java that supports distributed computing scale very well for data intensive applications. Hadoop Distributed File System (HDFS) is the primary storage system used by Hadoop applications. HDFS creates multiple replicas of data blocks and distributes them on compute nodes throughout a cluster to enable reliable, extremely rapid computations. MapReduce is a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes http://wiki.apache.org/hadoop/. One good example of an enterprise mashup is “CRM-gadget” http://www.programmableweb.com/tag/enterprise , which searches new account or validate accounts on oracle on demand over Google local search.  This mashup can tap the potential of Hadoop HDFS and Mapreduce and reduce the time to search the accounts. 

 

 To conclude, we need to build POCs and see the dynamic dissection/split of data on parallel/distributed nodes to achieve almost linear speed-up. This will in-turn reduce the total time of executing an Enterprise Mashup application.

 

 

Posted by Jayanti Vemulapati at 02:12 PM | | Comments (0) | TrackBacks (0)

January 24, 2010

Google File System

The Google File System (GFS) is a scalable distributed file system designed and developed by Google for distributed data intensive applications. GFS was born out of the need to meet the rapidly growing data processing needs of Google. The design of the GFS shared many of the same goals (e.g. concurrency, scalability, availability and reliability) as previous distributed file systems, but differed from earlier file systems to meet the demands of application workloads and technological environment at Google. Almost a decade later, most of Google’s applications rely on GFS to store and process data. Although Google has not published the GFS code, the design of GFS is discussed in detail, in a paper (titled “The Google File System”) published by Google engineers. To explore more about the design of GFS, one needs to read the original paper present at http://labs.google.com/papers/gfs.html.

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Posted by Manjunath Ballur at 10:29 AM | | Comments (0) | TrackBacks (0)

January 11, 2010

Is Big Bang the right approach to Internationalization?

Over the years our project teams have matured in the way they handle the implementation of an Internationalization project, however things were not always so smooth. There were times when the project was tested and delivered to the client, but it refused to work on the client’s machines. The offshore team just couldn’t figure out the reason for this to happen. A lot of fire fighting effort was then required to get things back on track and take corrective actions. Most of the problems were due to wrong planning, lack of technical understanding and incorrect assumptions. Things are pretty much streamlined now with an i18n Center of Excellence (CoE), i18n frameworks, analysis tools, POC’s and best practices in place. Here I am going to recollect my earliest Internationalization experience and what we learnt from it.

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Posted by Aviraj Singh at 09:12 AM | | Comments (0) | TrackBacks (0)

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