1) The document proposes a concept called "Virtual Mobile Computer" which achieves 100% virtualization by processing inputs and accessing/storing data virtually while only using mobile devices for input/output. 2) Instead of local processing on mobile devices, inputs would be sent to a centralized processing center which would access virtualized storage and return outputs. 3) This approach could solve constraints of limited mobile resources and allow complex applications by offloading processing demands to cloud resources.

1. Computer
Virtual Mobile Computer- Cent percent Virtualization
Journal: Computer
Manuscript ID: COM-2011-04-0039
Manuscript Type: Computing Practices
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Date Submitted by the
10-Apr-2011
Author:
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Complete List of Authors: M, Guru; Valliammai Engineering College, Computer Science and
Engineering
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L.2.0.l Virtual environment modeling < L.2 Haptics Technology < L
Haptics, I.3.4.i Virtual device interfaces < I.3.4 Graphics Utilities <
I.3 Computer Graphics < I Computing Methodologies, M.2.2.b
Software As Services < M.2.2 Service-Oriented Business Models <
Keywords: M.2 Services Lifecycle < M Services Computing, J.9 Mobile
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Applications < J Computer Applications, J.8.a Client/server and
multitier systems < J.8 Internet Applications < J Computer
Applications, D.2.11 Software Architectures < D.2 Software
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Engineering < D Software/Software Engineering
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2. Page 1 of 4 Computer
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7 Virtual Mobile Computer- Cent percent Virtualization
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10 AUTHOR
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12 Guru Shankar. M
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B.E [Computer Science & Engineering]
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15 Valliammai Engineering College,Chennai
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17 guru_shankar_m@yahoo.com
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23 Virtual Mobile Computer is a futuristic approach of the present day’s processing in computing devices
24 computing which possess the latest trends in (laptops, multi touch hand held devices) to
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25 computing like virtualization, cloud computing and processing in the future generation devices which
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mobility. This futuristic virtualization approach of will face the challenges of hardware imposed design
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28 computing acquires cent percent virtualization by considerations due to limited screen size, reduced
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29 simplifying the user’s end (mobile device) making it memory, storage and processor power. To overcome
30 a mere input and output device capable of handling the mentioned constraints I propose a new concept
31 high level complex applications which involves high called “Cent Percent Virtualization”.
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processing speed , huge data storage. This could be
33 2. Cent-Percent Virtualization: Virtualization
34 achieved by processing the input signals at a
35 virtualized processing centre accessing the eliminates “one server, one application model”, and
36 virtualized data storage and transferring the output enables multiple virtual machines in one physical
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37 signal for display to the user’s end. This approach machine”. The basis of “Virtual Mobile Computer”
38 concept is that except accepting the input and
towards computing will solve various problems of
39 displaying the output every other aspect of
40 adapting to next level of computing involving huge
41 volume of data storage and high processing speed computing in the user end’s device is virtualized.
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42 at the user’s end, secure transmission, converting Service oriented architecture is best fit for robust
43 complex processing applications to hand held applications, cloud computing provides a virtual
44 machine and allows the resources to be dynamically
mobile applications overcoming the need of high
45 scaled. Cent percent virtualization is a combination
46 level processor at the hand held mobile device.
47 of SOA and Cloud computing.
48 Keywords: Future computing, Virtualization, cloud
49 computing, virtualized processing, virtualized data 2.1 Existing processing methodology: Consider a
50 storage. multi touch mobile device accepts the user input
51 through touch sensors, the input signals are
52 1.Introduction: This paper addresses an approach transmitted to a processor in the device , the
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which provides an efficient way of transition from processor identifies the input signal , processes it ,
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55 to access the data from external server a request
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3. Computer Page 2 of 4
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6 (e.g.: http)is sent as transmission signal, the external the data transfer is done for each user input actions
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8 server is accessed and the response is sent back as and adapting to a modulting and demodulating
9 transmission signals which are processed again by technique of input impulse signals and output signals
10 the processor in the device to produce the output will be a challenge until an unique technique is
11 signals to be displayed in the display. adapted.Privacy concern for user as all the
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operations and data storage are not done at user’s
13 2.2 Proposed Processing Methodology: In this
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methodology the application is available to a mobile
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16 service on demand, rather than transmitting the
17 processed request signals the input from the user is
18 converted into transmission signals and transmitted Cloud Processing
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19 for processing at an external processing center by
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accessing the data from server and transmitting the
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22 processed output signal for display in the user’s
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23 device. Thus the user end application is not bound to
24 processing speed and memory capacity of the user
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25 device achieving cent percent virtualization. This
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methodology aims at using the Service oriented
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28 architecture along with cloud computing, where the
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29 processing is handled by the cloud.
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31 2.3 Cloud Processing: The external processing of the
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32 input signals are done at the processing centre. The
33 processing centre is similar to the external central
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35 processing system to all the devices and it performs
36 overall processing of all the input signals received
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37 from various user devices. The tasks of the
38 processing centre are as follows. Identifying the user
39 4.Cent Percent Virtualization- Supporting Points:
when the user requests for processing, establishing
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41 connection with the user and with the external 4.1 Data Transfer Rate:Through years there is a
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42 storage of the user to access the data for processing, rapid growth in the total number of internet users
43 processing the input signals by identifying them, and and the increase in bandwidth supports large
44 transferring the output signals back to the user’s number of users. There were 16 million Internet
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device. The external storage is considered to be the users on December 1995 which is 0.5% of world’s
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47 hard disk for the users. total population ,at present there are 1971 million
48 users which is 28.8% of the total population and the
49 3. Challenges: The major challenge in implementing
data transfer rate possible is also very high. With the
50 this processing methodology will be adapting to a
bandwidth and data transfer rate availability , the
51 particular protocol for data transfer of input signals
52 requisities required for the transmission of input and
from device to the processing centre and
53 the output signals from various devices should be
transferring the processed signals from the device to
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55 display. The rate of data transfer will be very high as
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4. Page 3 of 4 Computer
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6 The below diagram depicts the average data rate 4.3 Private Communication Channel: Let us consider
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8 from various input and output devices through the a scenario of a bank, where the customer access the
9 input/output buses. bank server’s through Internet to know his account
10 balance. Communication through internet is prone
11 to attacks.By adapting to Virtual Mobile Device the
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processing centre is set up by the bank. Processing
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14 and accessing the secure bank’s data in the bank’s
15 servers are protected from the third party access. As
16 it involves direct communication from the
17 customer’s device and bank’s processing centre with
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out Internet communication, sets up a private
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20 communication channel for the bank with its
21 customers adapting to a particular frquency for
22 communication.
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26 4.4: Following this methodology eliminates the need
27 of operating system and software installion at the
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user’s end.The application is available as a service to
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30 the mobile devices on demand.
31 Considering the data transfer from the processing
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32 4.5 : The communication from the user devices to
centre to user devices , for the transfer of a standard 3
33 the processing centre can follow the communication
image quality needs 1Mbps link speed for SD 480p,
34 techniques used in the present day’s mobile devices
35 2.5Mbps link speed for HD720p, 4.8 Mbps for HDX
to Base Transceiver station (BTS) in mobile
36 quality 1080p.
communication because many mobile devices
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38 Present day’s 4g communication technology offers contacts the BTS at a single time. Similarly in virtual
39 data transfer rate of 100MBps. So its certainly mobile device many user devices simultaneously
40 feasible to transfer the input and outup signal transfers the input signal to processing centre for
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impulses through air medium. processing. In the processing centre different users
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43 input can be shared with in a single processor or a
44 single user can access various processors through
45 multiprocessing technique. The processed signals are
46 4.2 Data privacy: " There can be no questions
transmitted to the user devices for display, adapting
47 regarding the privacy of the data, as in this
to interframing techniues can improve the eficieny
48 methodology the user’s data is stored in the external
49 and minimises the data transfer rate.
storage away from the user’s device. It is certainly
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possible because, today, all the internet mail user’s Conclusion: This paper proposes an idea for
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52 private data are stored in external servers and the improving the processing technique for hand held
53 users access and manipulate them. mobile devices as there is a wide gap between the
54 processing power of desktops to hand held devices.
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5. Computer Page 4 of 4
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6 This technique could certainly serve as a platform
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8 when hand held devices need to handle applications
9 which involves large volume of data and high
10 processing speed.
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14 REFERENCES:
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16 [1] William Stallings. ”Computer Oranization and
17 architecture-Designing for performance”,Prentice
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19 Education,Eigth Edition,2006
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21 [2]Chris Wolf and Eric M.Halter “Virtualization from
22 Desktop to Enterprise” , Apress Publication,2005
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24 [3] Jochen Schiller, “Mobile Communications”,
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25 PHI/Pearson Education, Second Edition, 2003.
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27 [4] Simon Haykin and Michael Moher “Modern
28 Wireless Communications”, Pearson Prentice
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30 Hall,2007
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32 [5] Andrew S Tanenbaum “Computer Networks”,
33 Pearson Education ,Forth Edition,2010. s
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35 [6] Prabat K Andleigh and Kiran Thakrar,
36 “Multimedia Systems and Design”, PHI, 2003.
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