MARC details
000 -LEADER |
fixed length control field |
02778cam a2200313 a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
EG-GiCUC |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
210112s2020 ua d f m 000 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
EG-GiCUC |
Language of cataloging |
eng |
Transcribing agency |
EG-GiCUC |
041 0# - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
Deposite |
097 ## - Thesis Degree |
Thesis Level |
M.Sc |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
Classification number |
Cai01.20.01.M.Sc.2020.Ch.I |
100 0# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Christina William Danial Michael |
245 10 - TITLE STATEMENT |
Title |
Improving offloading algorithm in mobile coud computing system / |
Statement of responsibility, etc. |
Christina William Danial Michael ; Supervised Imane Aly Saroit Ismail , Shaimaa Mosaad Mohamed |
246 15 - VARYING FORM OF TITLE |
Title proper/short title |
تحسين خوارزمية التفريغ فى نظام الحوسبة السحابية المتنقلة |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Cairo : |
Name of publisher, distributor, etc. |
Christina William Danial Michael , |
Date of publication, distribution, etc. |
2020 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
98 P . : |
Other physical details |
charts ; |
Dimensions |
30cm |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Computer and Artificial Intelligence - Department of Information Technology |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Mobile Cloud Computing is a computing paradigm that helps to reduce the application energy consumption, so it increases the battery life. A Mobile application is divided into fine-grained tasks with sequential and parallel topology. Offloading application tasks to a cloud provides more energy but increases the completion time. The scheduling of tasks between executing in a mobile device and cloud is more important to limit the increase in the completion time. The aim of this research is to develop an algorithm that reduces the energy consumed by mobile devices then increasing the battery life. An offloading improvement is the main objective of this thesis. In this thesis, the Energy-efficient Ant Colony cloud Offloading algorithm (EACO) and Energy-efficient Ant System cloud Offloading algorithm (EASO) are developed to reduce the energy consumption with the hard condition of completion time. The optimal values of the ant colony optimization algorithms are determined in this thesis.Experiments are conducted to verify the efficiency of the algorithm using different tasks input data and computation workload. The parameters of the ant colony optimization are as follows: Ü=(3-150), Ý=(3-50), Þ= (1-200), mo=0.9, u=0.1, number of ants=34 and number of iterations=50.EACO decreases the energy by an average of 24%-59% with an increase in completion time by 3.6%- 28% compared with the previous work of liu et al. [7]. According to the mobile execution, EACO reduces 80 % and EASO reduces 70% of the consumed energy |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
Additional physical form available note |
Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Ant Colony Optimization Algorithm |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Cloud Computing |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Mobile Cloud Computing |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Imane Aly Saroit Ismail , |
Relator term |
|
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Shaimaa Mosaad Mohamed , |
Relator term |
|
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Amira |
Reviser |
Cataloger |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Nazla |
Reviser |
Revisor |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Thesis |