Globalization and the Japanese Software Industry
Continue reading "Globalization and the Japanese Software Industry" »
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 03, 2010
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.
Continue reading "Internationalization and Performance considerations" »
January 27, 2010
Handling Data in Enterprise Mashups
- 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
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.
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.
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.
Continue reading "Is Big Bang the right approach to Internationalization?" »
December 31, 2009
Deciding Optimal Unicode Solution for Globalization Database
The concept of Globalization and the estimation model has been explained very well by Aviraj Singh in his post Effort estimation for a Globalization project. Being a database person I always look at it from a different perspective, giving a bit extra weightage to database. There are lots of granular intricacies that one has to think of before deciding the solution for supporting Unicode data in databases. It can be achieved though Unicode database i.e. Upgrading database character set to one that supports UTF-8 encoded characters as SQL datatypes like CHAR/VARCHAR2 etc. Another option can be Unicode Datatype i.e. to support multilingual data only for certain columns by using Unicode national character set to store multilingual data in SQL NCHAR datatype attributes , without making any changes to database character set. The most confusing and key decision for Globalization project is whether one should opt for Unicode database or Unicode data types for supporting multiple languages in database. This is a key decision for the success of any Globalization project and will also have a considerable impact on effort estimations. An incorrect choice at this stage can lead to a lot of rework and end hour surprises.
Continue reading "Deciding Optimal Unicode Solution for Globalization Database" »
December 30, 2009
Google Public DNS
A month ago, Google announced the release of Google Public DNS (Domain Name System), which is a free DNS resolution service. DNS is used to translate human friendly computer names into IP addresses. When a user types the name of a website, the Domain Name Servers convert this name into an IP address, and this IP address is used by your machine to send requests. A DNS network contains a set of servers which maintain a cache of domain name to IP address mappings. Usually these Domain Name Servers are maintained by your Internet Service Providers (ISP). With Public DNS service, Google wants to provide an alternative to your ISP’s service. Public DNS leverages the existing infrastructure used by Google’s search engine, which uses crawlers to scan through millions of websites. The DNS information cached by these web crawlers is used by Public DNS. Already a company by name Open DNS offers a similar popular DNS resolution service.
December 11, 2009
Don’t think local, think locale
Imagine yourself going to Japan to open a restaurant. Your market research says that your burgers are going to sell like hot cakes there, so you have planned a major investment there and drawn up plans for expansions. You land at the Narita airport and are absolutely clueless on how to get out of there. You look around and find that all directions and signs in Japanese. You try to ask for directions but all you get is blank stares because no one understands English. Somehow you manage to find your way out and get busy with your work. After a lot of hard work, you finally open your restaurant but you don’t find many people walking in. Your business goes dry and it’s difficult to survive with so much local competition around. What is really going wrong? Didn’t your market research say that you are bound to succeed?
December 09, 2009
Green Computing and Virtualization
While contemplating about the importance of virtualization in achieving green computing standards especially in organizations hosting data centers, I came across an interesting article here on how energy emissions from data centers can be used to warm homes in Scandinavian countries.
December 08, 2009
Testing Cycles and Product Stability
Years of experience in software development have not helped reduce anxiety levels whenever a project enters the 'Testing' phase of the Software Development Life Cycle. It feels the same as one would feel when parents accompanied you to school to collect your academic results at the end of term examinations. There is always the anxiety of whether the output of the design and coding phase will be able to successfully sustain the test case bombardment. Besides, you would also be anxious to know if there are enough test cases to traverse all paths of the software while testing functionality and QoS parameters - so as to be confident that all loose ends are covered. An even more difficult pill to swallow is a situation where you realize that a number of your tests are failing, and you will have to get back to the customer with the bad news and request an extension. But even after that, how do you gurantee that your product will be defect free ? How do you gurantee that you have not introduced defects unknowingly while fixing the known ones ? Experts would ofcourse recommend a 'thorough peer code review' - but even after that, you would still need a 'tested and passed' certificate before the software is passed to the customer for his acceptance tests.
