| Title | Delay-Aware Secure Computation Offloading Mechanism in a Fog-Cloud Framework |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Yang, Yang, Chang, Xiaolin, Han, Zhen, Li, Lin |
| Conference Name | 2018 IEEE Intl Conf on Parallel Distributed Processing with Applications, Ubiquitous Computing Communications, Big Data Cloud Computing, Social Computing Networking, Sustainable Computing Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom) |
| Date Published | dec |
| Keywords | Bandwidth, cloud computing, completion delays, computation offloading problem, computation resources, Computational modeling, delay-aware secure computation offloading mechanism, delays, Fog Computing and Security, Fog-cloud computing, fog-cloud framework, fog-cloud provider, greedy algorithm, greedy algorithms, integer programming, Internet of Things, IoT, IoT application, joint offloading approach, Mixed integer programming, mixed integer programming multicommodity flow, mobile computing, pubcrawl, Resiliency, resource allocation, Scalability, security, security of data, security-sensitive computation task, Servers, Task Analysis |
| Abstract | Fog-Cloud framework is being regarded as a more promising technology to provide performance guarantee for IoT applications, which not only have higher requirements on computation resources, but also are delay and/or security sensitive. In this framework, a delay and security-sensitive computation task is usually divided into several sub-tasks, which could be offloaded to either fog or cloud computing servers, referred to as offloading destinations. Sub-tasks may exchange information during their processing and then have requirement on transmission bandwidth. Different destinations produce different completion delays of a sub-task, affecting the corresponding task delay. The existing offloading approaches either considered only a single type of offloading destinations or ignored delay and/or security constraint. This paper studies a computation offloading problem in the fog-cloud scenario where not only computation and security capabilities of offloading destinations may be different, but also bandwidth and delay of links may be different. We first propose a joint offloading approach by formulating the problem as a form of Mixed Integer Programming Multi-Commodity Flow to maximize the fog-cloud provider's revenue without sacrificing performance and security requirements of users. We also propose a greedy algorithm for the problem. Extensive simulation results under various network scales show that the proposed computation offloading mechanism achieves higher revenue than the conventional single-type computation offloading under delay and security constraints. |
| DOI | 10.1109/BDCloud.2018.00061 |
| Citation Key | yang_delay-aware_2018 |
Delay-Aware Secure Computation Offloading Mechanism in a Fog-Cloud Framework