Internet of things New Paradigm Shift in Computing

Paradigm shift in Computing Industry over period of time:

Mainframe–> Personal Computer, (PC based Application software ) –> Web Computing (Web servers, Internet, web application) –> devices (Mobile/ Mobility )/IP TV , notebook /ipad —>
For next shift there lot of possibility Like surface computing might eliminate Screen requirement or Ipad/laptop requirement, IP TV interacting with human interactions with gesture to camera , and devices projecting screen on any surface. Many devices which are coming in the industry would certainly require Ubiquitous Access. And All devices will have agent to take informed decisions (Like once fridge know milk is empty it could connect to internet and ask your access to credit card or confirmation (workflow software configured) it can order retailer.(So like Internet of Things)
So Internet of things is not only these devices that will interact with other home system, devices but also get data with wired or wireless sensors inside Home.
more about it can be read at :


New age application development :

CMS are integrated with SIP servers for PSTN phone to Digital phone and Softphone conversion. More details:

All these will increase focus on the development Internet of Things with sensor network generating huge video,audio, image and text data collected from sensor has to move ubiquitous from one system to another. For this to happen internet infrastructure will be utilized using cluster computing of Hadoop, Hive, HBase. for data analysis and storage. When sensor nodes , devices , Home appliances access and interact with this data ubiquitously  at same time interact , under transaction using internet infrastructure Possibility of Internet of things is only conclusion it can derive.
Read more on hadoop:

Relation to cloud here 3V have actually now became 5V variability and value new 2V +addition to existing 3V Volume, variety and velocity being old 3V.                                  Read more:

External links for reference:,,

Oracle Web centre:


Map reduce:
acebook API:
inkedin API:
witter API:

Approach to Best collaboration Management system

Collaboration tools integrated offering (course grain integration using ) integration tools like TIBCO, Oracle BPEL, : Components to be integrated:
1. Content management system CMS  (SharePoint, Joomla, drupal) and
2. Document Management system like (liferay, Document-um, IBM file-net) can be integrated using flexible integration tools.

3. Communication platform like Windows Communication Foundation ,IBM lotus notes integrated with mail client and Social network like Facebook using Facebook API, LinkedIn API, twitter API ,skype API to direct plugin as well as data Analysis of Social networking platform unstructured data captured of the collaboration for the project discussion.
soft-phone using Skype offering recording conversation facility for later use.

Oracle Web centre:
4. Integrated Project specific Wikki/Sharepoint/other CMS pages integrated with PMO site Artefacts, Enterprise Architecture Artefacts.
5. seamless integration to Enterprise Search using Endeca or Microsoft FAST for discovery of document, information, answers from indexed,tagged repository of data.
6. Structured and Unstructured data : hosted on Hadoop clusters using Map-reduce algorithm to Analyse data, consolidate data using Hadoop Hive, HBase and mining to discover hidden information using data mining library in Mahout for unstructured data.
Structured data kept in RDBMS clusters like RAC rapid application clusters.
7. Integrated with Domain specific Enterprise resource planning ERP packages the communication, collaboration,Discovery, Search layer.
8. All integrated with mesh up architecture providing real-time information maps of resource located and information of nearest help.
9. messaging and communication layer integrated with all on-line company software.
10.Process Orchestration and integration Using Business Process Management tool BPM tool, PEGA BPM, Jboss BPM , windows workflow foundation depending landscape used.
11. Private cloud integration using Oracle cloud , Microsoft Azure, Eucalyptus, open Nebula integrated with web API other web platform landscape.
12. Integrated BI system with real time information access by tools like TIBCO spotfire which can analyse real time data flowing between integrated systems.
Data centre API and virtualisation plaform can also throw in data for analysis to hadoop cluster.
External links for reference:,,,

Oracle Web centre:


Map reduce:
acebook API:
inkedin API:
witter API:

Strategies For Software Services/product Companies next decade




These requirement are going to stay for next decade:Strategy-Small1Where can Software services/product firms lay emphasis for next stage of development. Or the areas which will see maximum amount of work coming in future..

Or What areas of knowledge should software companies develop manpower on:
1. Game development and Gamification:


2-7. Each of the Seven areas in development:


As you read you realize software which can take advantage of multiple processor available on the devices None of sotware present in market today is written to take advantage of this fact. It may be possible an new language may come up to take benefit of this fact of we can still use old java/C++ threads more offen or we can distribute load on server by more specific COM/ DCOM or Distributed Common Request broker Architecture CORBA to processor level at server.. We have virtual switches and VM ware or Zen virtualisation which can exploit maximum benefit from it.
8. More virtualised network stack: this I wrote 2 yrs back still valid to quote here:

private and public cloud new API will emerge:

9. from SDLC V model to Agile and now to lean Agile ..use of six sigma to control process is just one part of mathematics being used for quality control but there would be new data model which will be tested based to mathematical modelling like probability distributions new model industry specific models would keep emerging.
like how for security project how security user stories are plugged into model
or read

10.  BI would be Everyware:
parallelism , map reduce algorithm and cloud

Next generation Application development

The Next generation application development will not only take care of utilizing 50 or 100+ processors which will be available in you laptop or desktop or mobile but by using parallel processing available at clients
I covered 7 points last article this is part -2 of
also Next genration ERP read first:
8. More pervasive BI eating App: Business Intelligence application development will go deeper in organisation Hierarchy
Oraganisation Hirearchyfrom more strategic level BI  and Middle management level to more pervasive  transactional processing level , and Office automation System level BI (shown in diagram as knowledge level or operational level.)

How it will affect architecture of Enterprise product Read SAP HANA
Understanding Management aspect to little contrary view but related.. there will be need for more deeper strategic Information system to make more unstructured decision making.

pervasive BI bound to eat up Application development market also fulled by in-memory products like cognos TM1, SAP HANA etc..but also changes, cross functional innovation happening at enterprise level.
read :

As with these products no need for separate Database for datawarehouse and for operational systems. This unification of Operational data store ODS and data warehouse DW. on reporting level both Business intelligence BI and operational reporting will be accessing same database and that will be using in Memory technology.

9. Bigdata as everyone knows is Hot: more unstructured data than structured data today present for you is like open laboratory to experiment. More of it will find place in strategic management system and Management Information system.
read more details:

Read Application in security for metadata analysis :

10. Application security will be important as never before: its already there .
The intensity can be gauged from fact that changes in top 10 OWASP list is happening as never before and positions are changing in terms of top most risk ranking.

list before:

2010 A2 was Cross site Scripting XSS but 2013 at ranking to of perceived risk is Broken Authentication and session management. Changes do happen but here ranking and no of incident changing fast because momentum is fast.
11. More will continue when I find time next time….

New Breed of App development is here

Here are reasons Why next generation app will be totally different:
1. – In few years we will be seeing ending dominance of physical routers, switches , firewall to virtual soft switches, virtual routers , software defined routers and switches. More open routing technology would be program driven rather than configuration on boxes.
Companies like application firewall maker Palo Alto Networks and virtual programmable router maker nicira have huge role to play.

its also affected by trends in Network technology
2. – in next year we will see 20+ processors on single machine making parallel processing one of important requirement. Huge software would be re written to meet this requirement.

3. The changes in business and systems are occurring very fast as system and getting more understood and cross functional due to intense competition Where only innovation can make you stay ahead of curve: Read more reasons why?

4. Cloud will increase innovation to change way we think about software:
Software As service SAAS, PAAS, IAAS going to make more deeper innovation as defined in above article (
How innovation on cloud will be much quicker read :

5. Laptop will never go (large screen requirement) but Mobile will be mass platform:
As we can move we can see virtually wearable shirts made of graphene with storage and data streamed on walls .. as when we want we can just grab wall data to graphene shirts..
Read more about Graphene:
surfaces will keep emerging we would see virtually display in air without any device but what it would be added with augmented reality and virtual reality.
we can in future just stream data to wall and program on wall outside our house.
6. Internet of things : where Machine to machine transfer of information and data and semantic web will make possible more intelligent feedback to user by all devices based on user need. so when you pick up milk from shelf next time. your fridge will search for you and alert you on latest offer of cheapest milk from various retailer.
And it will be displayed on fridge itself.. not only that it would order for you when its empty if you configure so. it will calculate you calorie consumed by family of fridge item and send updates to doctor monitoring you and display return messages from doctors.
7. Sensors will be everywhere and huge and Ubiquity will rule :

Classifying Ubiquitious data, images into Emotion for target Advertisement campaign

Title: Classifying Ubiquitious data, images into Emotion for target Advertisement campaign

(get data from IP TV, youtube , and sensor network, correlate them with image processing data from image sensor for better ubiquity and targeted advertisement campaign

Objectives: Better Ubiquity and targeted advertisement by classifying images from CCTV other sensors at home like IPTV using image processing and correlating them with Advertisement campaign

Description of Project :

Advertisement campaign software today are basing there advertisement based on the cloud data at datacentres of gmail, YouTube etc.. But there is huge explosion of sensor data which was being generated by image sensors like CCTV on shopping malls, accepted webcam advertisement, gesture recognition,  also the data from ubiquitous systems like home sensors internet of things

The data feeds from huge no of sensor at home as well the live IP TV were widening of eye pupil represent interest in particular advertisement on TV adv captured As TRP rating. Here people can get subsidised TV connection is they allow a webcam to record there sensor data which can be allowed for running Image processing algorithm on to classify different facts like emotions based on was reaction to adv running on TV or classification of interest. Which can be quantized and correlated with online data to find targeted  advertisement campaign.

As Win win deal daily user can get feed of his emotion statistics throughout day will help him/her think about his responses throughout day and can be shown in behavioural software platform.

Also he and correlate and see trends of population in local area suppose limerick.

We are going to use cloud computing /hadoop to process image data and classify them using machine learning algorithms. And correlate with word interest feed from twitter or facebook to show trends.

Trends in technology 2013

There are few trends which I discussed early here I just want to point best available site giving trend information.

1. Electronic signature will grow this point is very valid also came in market reserach.

2 Companies will focus on being remarkable: This point I found wonderful: I want to qualify this point further Leadership will be most important thing for next atleast 5 yrs..Every company will look out for Steave Jobs, bill gates,jack walsh and warren buffet.

As the competition increase it cycles becoming short..the effect of vision of visionary leader is seen in company in just 5 yrs span. Earlier it was 50 yrs then became 25 its range is 5 yrs…i will say actually 3 yrs..So this point is very important.

3. Democratization of Education: increasingly educational resources are now available to everyone and poor through youtube, thorough other sites…Future even PHD student will be working and simultaneously doing PHD work at night..or free time…may take 7 -10 yrs but these PHD will change face of world as they will be more practical and dedicated.

Gartner Hype cycle for emerging technology predicts few unknown trends..










3. Biggest trend to me in authentication mechanism will open up new padora box as Iris technology is now considered unstable:

“Their research involved taking iris codes that had been created from real eye scans as well as synthetic iris images created wholly by computers and modifying the latter until the synthetic images matched real iris images. The researchers used a genetic algorithm to achieve their results.”

it takes about 5-10 minutes to produce an iris image that matches an iris code.

It will definitely change bio metric market since iris is considered most accurate technology. Will iris technology stand up to this technology only time will tell.. still its most secure technology but its need to adjust…if it cannot then with this attack its almost use less. anyone wear lens can fool technology then to impersonate another person.