The increasing usage of smart-phones and mobile devices in work environment and IT

industry has brought about unique set of challenges and opportunities. ARM architecture

in particular has evolved to a point where it supports implementations across wide spectrum

of performance points and ARM based tablets and smart-phones are in demand. The

enhancements to basic ARM RISC architecture allow ARM to have high performance,

small code size, low power consumption and small silicon area. Users want their devices to

perform many tasks such as read email, play games, and run other online applications and

organizations no longer desire to provision and maintain individual’s IT equipment. The

term BYOD (Bring Your Own Device) has come into being from demand of such a work

setup and is one of the motivation of this research work. It brings many opportunities such

as increased productivity and reduced costs and challenges such as secured data access,

data leakage and amount of control by the organization.

To provision such a framework we need to bridge the gap from both organizations side

and individuals point of view. Mobile device users face issue of application delivery on

multiple platforms. For instance having purchased many applications from one proprietary

application store, individuals may want to move them to a different platform/device but

currently this is not possible. Organizations face security issues in providing such a solution

as there are many potential threats from allowing BYOD work-style such as unauthorized

access to data, attacks from the devices within and outside the network.

ARM based Secure Mobile SDN framework will resolve these issues and enable employees

to consolidate both personal and business calls and mobile data access on a single device.

To address application delivery issue we are introducing KVM based virtualization that

will allow host OS to run multiple guest OS. To address the security problem we introduce

SDN environment where host would be running bridged network of guest OS using Open

vSwitch . This would allow a remote controller to monitor the state of guest OS for making

important control and traffic flow decisions based on the situation.

In trading, volume is a measure of how much stock has been exchanged in a given period of time. Since every stock is distinctive and has an alternate measure of shares, volume can be contrasted with historical volume inside a stock to spot changes. It is likewise used to affirm value patterns, breakouts, and spot potential reversals. In my thesis, I hypothesize that the concept of trading volume can be extrapolated to social media (Twitter).

The ubiquity of social media, especially Twitter, in financial market has been overly resonant in the past couple of years. With the growth of its (Twitter) usage by news channels, financial experts and pandits, the global economy does seem to hinge on 140 characters. By analyzing the number of tweets hash tagged to a stock, a strong relation can be established between the number of people talking about it, to the trading volume of the stock.

In my work, I overt this relation and find a state of the breakout when the volume goes beyond a characterized support or resistance level.