Ubiquitous Computing is were everyone is moving now

Ubiquity in next frontier where software is moving what are important characteristics of ubiquitiy

If we see here how different stack are built over a period of time For instance: Oracle Stack from storage using sun technology and data base oracle in middleware: Oracle fusion middleware, Operating system solaris, and hypervisor..to ERP solutions like peoplesoft, Sielble, and Oracle financials and retail apps..On all these areas solutions should work across what was missing was communication piece for which also Oracle acquired lots of communication companies…Now Same way

Microsoft Stack: Windows OS server /networking , HyperV hypervisor,SQL server database, biztalk middleware,MSBI Bi, dynamics as ERP with financial/CRM etc module..there is PAAS which can leverage this all across Called Azure..now software are cutting these boundaries..

If we take definition of Ubiquitous computing it collective wisdom of moving toward miniaturization, inexpensive, seamlessly integrated and wireless networked devices working on all daily use items and objects like watch to fridge etc..same vision on which long back

all models of ubiquitous computing share a vision of small, inexpensive, robust networked processing devices, distributed at all scales throughout everyday life and generally turned to distinctly common-place ends.We have ambient intelligence which are aware of people needs by unifying telecom,networking and computing needs creating context aware pervasive computing. On back hand where we have all the data stored in cloud storage ..we have integrated stack..not every component of stack needs to talk to this new ubiquitous computing devices and software.

what technologies are colliding there:

Data communications and wireless networking technologies: moving towards new form of devices sensitive to environment and self adjusting , without wire connecting to each other creating meshup network. drive towards ubiquitious computing is essential to networks drive towards wireless networking.
Middleware: We have PAAS PlAform As Service in cloud mere all miniaturized device have limited storage will store data. To leverage this data as well to work all across the virtualization like we have Microsoft azure as discussed above and Oracle fusion middleware
Real-time and embedded systems: all real time messages needs to captured using Real time OS RTOS and passed to devices to interactivity with outside world dynamic.
Sensors and vision technologies: Sensors sense and pass information important part of ubiquitous computing.sensors in fridge senses out of milk and starts interacting with mobile to sent information to retail store to send delivery (its a typical example).
Context awareness and machine learning: device is aware whether its near to bank or near to office or police station and start reacting to relevant application this is geolocation..going deep watch when we go inside water start beaming depth from the river ded comes out and shows time..on same display device.is context aware..still when it goes near to heat heat sensor sends temperature to display.
Information architecture: huge data will be generated from this network now this data needs to be analysed depending on its type its storage ans retrival architecture varies..big data will not stored same way RDBMS is stored.
Image processing and synthesis: and bio metric devices needs to get image of the to authenticate and send information. Image processing algorithm like edge detection algorithm will run over this huge data to get view..like satellite data captured and fed into edge detection algorithm to find water bodies using huge variation in reflectance level as we move from sand to water..

There wold be huge usage of there in next generation BI systems.

So tools like uBIquity will make difference in future:

http://www.cloudvu.com/products/ubiquity-integrated-business-intelligence.php

As BI becomes pervasive everyone would surely want to use it.. its natural evolution process for and user to get attracted to BI system where user can create his own query to find result..as it become pervasive ti would enter into every device and here were it will strat interacting with ubiquity…ubiquity is future in BI.

IAM is most important in cloud security

IAM is most important thing in cloud security. Cloud computing has three paradigm SAAS, PAAS and IAAS. but to provide entry to any user to cloud first authentication has to happen and then authorization…

Identity and access management in short IAM tools provide cloud ability to validate user. There are many vendors on IAM lists..Authentication stops the non repudiation,.

The main task in security is to ensure Confidentiality , integrity, and Availability. Authentication validates confidentiality, while integrity and confidentiality is preserved by Authorization…because this i from where attacker may come in whether BI or any application.

While for SAAS and PAAS IAM palys very important role same way for IAAS takes it user specific deails from IAM. it plays vital role across securing software and well platform and infrastructure access.

Future of cloud 2020 will convergence BI,SOA,App dev and security

We know we need to create data warehouse in order to analyse we need to find granularity  but can we really do when there is huge explosion of data from cloud think like data from youtube,twitter, facbook and devices, geolocations etc….no..Skill set required for future cloud BI , webservices ,SOA and app developement converge and with that also security.

Can we really afford Extract , transform , load cycles in cloud.With huge data needs to migrated and put in cloud for analysis not exactly.

ETL will remain valid for Enterprise all but kind of applications like social Applications ,cloud computing huge data we have alternative sets of technology which start emerging Hadoop , Hive ,HBase are one such but we cannot even afford these when data is really huge.We can relie on analytics to predict and data mine to find trends.But these assumptions are also based on models. The mathematical model we think based on evaluation we start working on implementing and hence predicting trends but what id model we thought was not the right model may be right 40% time and ignoring 60% or rigt always but set it beleived changed over period of time..I cloud we have 3V, volume : huge volume of data,

Variety: huge variety of data from desperate sources like social sites, geo feeds,video,audio, sensor networks.

Velocity: The data comes up really fast always we need to analyse the lastest voulme of data. Some may get tera byte data in day may need to analyse only that data..like weather applications, some many need months data, some week etc..

So we cannot model such variety and velocity and vloume in traditional datawarehouses.So one size fits all is not solution. So can we maintain multiple sets of tools for each data analytics, ETL, CDI, BI, database model, data mining etc…etc.. Are we not going to miss many aspect of problem when intersection between these was required.My guess is yes currently
Also we need to integrate everything to web and web to everything and integrate each other so web services come in handy.And when we need to present this over cloud so that’s where all cloud technologies set in.So convergence of BI,SOA,Application development and cloud technology is inevitable. As all cloud apps will require input and output and presentations from BI,SOA,data mining, analytic etc. Already we see hadoop as system which is mixture of Java and data warehouse BI,web services, cloud computing,parallel programming.

What about security it will be most important characteristic o which cloud will be based.? Already we have lots of cloud analytics security products based on analysis from cloud.We have IAM is most important in cloud. Identity and Access management. Increasingly applications and apps require data from IAM and from network stack keep increasing driving them closer…SAAS, and PAAS this going to be most important characteristics.

Hardware or Software Cycle keeps complementing System on Chip Vs software driven systems

In year 1999 when i was reading magazine It was saying “end of road for hardware or chip design”. It was not referring to fact that Moore’s laws failure. Moore’s law state microprocessor will double its processing capacity every six months.Magazince was not refering to these challenges to material science to fit more transistors in small chip and size had reached its peak but it was referring to increasing chip development is more software and less hardware…in 1980 chip development or VLSI was 90% hardware and 10% software..while in 1990 ratio went from 90:10 to 70:30 in early half of 21st century 2000’s ratio is continously decreasing.What trends were referring that the VLSI will be driven by complete software systems..surely we have Verilog, VHDL ..and magazine gave a ratio for future 2010 it will be 90:10 completely reversed…or completely software driven..lets see its true or not now.in 1999 when i was reading VHDL or Verilog developing adder and half adders some digital design Decoder And Encoders,Mux,Flip Flop And Latches,Counters,Memories,Parity And CRC,Modeling With Switch Primitives,Modeling With Gate Primitives,User Defined Primitives,PLI Examples,Verilog UART Model,Verilog Arbiter Model.Way back we used Cadence toolkit for EDA.

EDA tool market has not changed since then in terms of companies operating with Synopsys,Cadence,Mentor Graphics taking top three slots. http://en.wikipedia.org/wiki/Electronic_design_automation

IS now Software to hardware ration in Chip design is 90:10? ir is completely software driven..

Answer is no. It has come to just reduce the error.its easy to rectify error on software or control process.Where has chip design moved…

VLSI system evolution:

1:1950 :           Transistors

1960:                Integrated Circuits

1970:               Microprocessors

1980:               Digital Signal Processors

1990:               FPGA/ASIC (Application specific Integrated circuits ASIC like TV remote,washing machine control etc very popular now

2000               System on Chip (SOC) like digital camera,ipad,smart phone…with every circuit built in multiple small chip reducing the size of device like whole computer with RAM,harddisk,processor all miniaturized and compacted into chip…

Now we see iPhone,iPad, Mobile system everything driven miniaturized VLSI system design, There are sensor networks pg and pay devices,devices talking to each other each will be driven by IC’s and VLSI circuits..so is now hardware cycle will overtake software cycle may answer is still no. it cannot happen either way…its lik both software and hardware are matching itself to another complementing each other..A software moved into hardware areas like smartphones so has VLSI moved into software ipad being more popular then old desktop…Hardware technology is matching expectation…

What’s future for System on chip? Must see the link below:

http://www.extremetech.com/computing/126235-soc-vs-cpu-the-battle-for-the-future-of-computing

with Ubiquitous computing and sensor network huge data which is generated.More ubiquity means more chip and more sensor again chip and more software to control,pass instruction and analyze data…both VLSI and software and matching upto expectation…

Challenges to material science once again we say wll start emerging around 2020

http://www.inf.ufrgs.br/vlsisoc/invited1.php

Since constructs like if …else or for are same as mordern langauges as in Verilog or VHDL? Mordern laguage experiment with VHDL started long back in 2004. here is sun paper for reference highlights Java in EDA world.

http://www.cs.york.ac.uk/rts/docs/SIGDA-Compendium-1994-2004/papers/1997/aspdac97/pdffiles/02d_0.pdf

Why India is worst performing economy in BRIC from 2000 to 2010?

Every Indian must read:
India has worst tax to GDP ratio in all BRIC nations who are decreasing there debt with FDI comming in why India is increasing its debt? Quoting all references below from authentic sources.
Russia in same years decreased its debt from 59.9% to now 9%
China maintained debt at 17% of GDP.
South Africa ratio also decreased from 425 to 35%.
Brazil from 66% to 64%
India 65% to 75%.. (Where 10% of GDP gone?) in terms on money figure ( india GDP 1500 billion dollar 10% of it 150 billion for 10 yrs its 1500 billion dollar ? is it channel through stock into stock exchange or its in politicians pocket? Who will answer ?
Last 10 years of reform: India’s debt increased from 75% to 90% despite so much expansion in economy. All other BRIC nation debt has come down..on account of as FDI come it efficieny increases and borrowing need decrease also from selling of assets.
(reform not only means bringing FDI it means improving internal delivery processes).
Brazil, China, Russia all decreased there debt and benefited from reform what about india? India increased debt from
For reference I pasting old articles in news in 2004 that foreign investment helped india to cut its debt.
http://articles.economictimes.indiatimes.com/keyword/debt-to-gdp-ratio
How much hope ful were we 1999 tax to GDP ratio was 65% in 2009 its 75%.
http://www.bricsindia.in/brics-report.pdf got to table 1.11 you can find Tax to GDP over years.

2. With inflation remain in two digits 10% what’s use of average 6% growth rate.

3. Competitiveness also no increased over period of time.

4. Attracting FDI india is losing as destination of choice in BRIC.

5. Corruptions and scam have eaten away most of the growth money not coming into people hands going inot there dummy accounts offshore accounts every where from cricket to film to companies board looks under control fo corruption wanting public money..even there signs they may be under control of underworld god knows may be channelizing money into terrorist fundings etc…