An enhanced technique for mobile cloudlet offloading with reduced computation using compression in the cloud

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Moro, A.C.^1 ; Nadesh, R.K.^1

School of Information Technology and Engineering, VIT University, Vellore

Tamil Nadu

632014, India^1

关键词: Fast algorithms;    File compression;    Limited storage;    Local memory;    Mobile users;    On demands;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/4/042075/pdf
DOI  :  10.1088/1757-899X/263/4/042075

来源: IOP

【 摘 要 】

The cloud computing paradigm has transformed the way we do business in today's world. Services on cloud have come a long way since just providing basic storage or software on demand. One of the fastest growing factor in this is mobile cloud computing. With the option of offloading now available to mobile users, mobile users can offload entire applications onto cloudlets. With the problems regarding availability and limited-storage capacity of these mobile cloudlets, it becomes difficult to decide for the mobile user when to use his local memory or the cloudlets. Hence, we take a look at a fast algorithm that decides whether the mobile user should go for cloudlet or rely on local memory based on an offloading probability. We have partially implemented the algorithm which decides whether the task can be carried out locally or given to a cloudlet. But as it becomes a burden on the mobile devices to perform the complete computation, so we look to offload this on to a cloud in our paper. Also further we use a file compression technique before sending the file onto the cloud to further reduce the load.