dc.contributor.author |
Mostofa Kamal Tareq, Md. |
|
dc.contributor.author |
Khan, Ishrat |
|
dc.contributor.author |
Ashraful Islam, Md. |
|
dc.date.accessioned |
2015-11-29T04:02:43Z |
|
dc.date.available |
2015-11-29T04:02:43Z |
|
dc.date.issued |
2014-12 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/231 |
|
dc.description |
We are thankful to Almighty ALLAH for HIS blessings for the successful completion of our thesis. Our heartiest gratitude, profound indebtedness and deep respect go to our thesis supervisor Dr. M. Shamim Kaiser, Asst. Professor, Department of Institute of Information Technology, Jahangirnagar University, Savar, Dhaka for his continuous support, for his patience, motivation, enthusiasm and immense knowledge. His guidance and valuable advices throughout the study was a great help in completing thesis. We are so much proud for completing our work under a person like him. May ALLAH live him long and make his journey a prosperous, happy and peaceful.
We are especially grateful to the Department of Electrical, Electronics and Communication Engineering (EECE) of Military Institute of Science and Technology (MIST) for providing their all-out support during the thesis work. |
en_US |
dc.description.abstract |
Mobile phone is now a device which is used for different types of processing. Cellular communications have made anytime anywhere communication with anyone. But the main constrain is the processing power and Energy required to drive it. Cloud computing has come as a blessing for the mobile computing as it possess a vast resource, high storage capacity, high processing power and high speed. Mobile Cloud computing computation has been offloaded to the cloud, cloud process on data and generates information and processed information is fed back to the mobile device. Thus, offloading means rendering data to the cloud (Internet) where computation would take place. It is expected that processing time in cloud is less than that of mobile. Probability of offloading depends on some parameters i.e. line bandwidth, line length, processing speed of mobile, processing speed of cloud, storage and energy capacity of mobile etc. User can experience different path while offloading. A large path would cost more time to offload. In addition, amount of data to be computed is not always same. When data computation is small, it is more economical and convenient to process them in mobile. Algorithm proposed here for offloading probability (OP) is based on an exponential function. OP increases exponentially with the increase of “computation data” and “allotted bandwidth”. There are maximum limits of “computation data” and “allotted bandwidth” after which OP is 1. This report will show a successive way to decide whether someone should offload or not. |
en_US |
dc.description.sponsorship |
Department of Electrical, Electronics and Communication Engineering
Military Institute of Science and Technology |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Military Institute of Science and Technology |
en_US |
dc.subject |
Performance, Improvement, Wireless, Mobile, Communication, Offloading |
en_US |
dc.title |
Performance Improvement of Wireless Mobile Communication through Offloading |
en_US |
dc.type |
Other |
en_US |