Time and Energy Saving through Computation Offloading with Bandwidth Consideration for Mobile Cloud Computing

被引:2
|
作者
Pawar, Apurva [1 ]
Jagtap, Vandana [1 ]
Bhamare, Mamta [1 ]
机构
[1] MAEERS MIT, Pune, Maharashtra, India
关键词
Mobile Cloud Computing; cyber foreign; computation offloading; partitioning; elastic applications; smartphone;
D O I
10.1145/2791405.2791527
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Smartphone applications are gaining popularity and with time many complex and computation/resource intensive applications arc coming to market. These applications require more resources and consume lot of battery power, but the improvisation in battery capacity has been lagged far behind as compared to other components of mobile devices. On other hand, clouds are rich in resources and computational power. Therefore, by utilizing cloud resources for application execution we can reduce battery consumption and in turn increases battery charging intervals. This all is known as cyber foreign or computation offloading in Moble Cloud Computing. There are various factors affecting computation offloading like bandwidth. So, we had considered bandwidth as major factor in proposed offloading decision making algorithm. Our algorithm is based on divide and conquer strategy. This system focuses on time and energy saving.
引用
收藏
页码:527 / 532
页数:6
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