Joint Server Assignment and Resource Management for Edge-Based MAR System
| Autor: | Can Wang, Zhuzhong Qian, Sheng Zhang, Sanglu Lu, Baoliu Ye, Jie Wu, Mingjun Xiao |
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| Rok vydání: | 2020 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science 020206 networking & telecommunications Cloud computing 02 engineering and technology ComputerSystemsOrganization_PROCESSORARCHITECTURES Computer Science Applications Scheduling (computing) Wide area network Server 0202 electrical engineering electronic engineering information engineering Resource management Enhanced Data Rates for GSM Evolution Electrical and Electronic Engineering Heuristics business Mobile device Software Edge computing Computer network |
| Zdroj: | IEEE/ACM Transactions on Networking. 28:2378-2391 |
| ISSN: | 1558-2566 1063-6692 |
| Popis: | Mobile Augmented Reality (MAR) applications usually contain computation-intensive tasks which far outstrip the capability of mobile devices. One way to overcome this is offloading computation-intensive MAR tasks to remote clouds. However, the wide area network delay is hard to reduce. Thanks to edge computing, we can offload MAR tasks to nearby servers. Prior studies focus on either single-task MAR applications offloading or dependent tasks offloading for a single user. In this article, we study the offloading decision of MAR applications from multiple users, each of which is comprised of a chain of dependent tasks, over a generic cloud-edge system consisting of a group of heterogeneous edge servers and remote clouds. We formulate the Multi-user Multi-task MAR Application Scheduling (M3AS) problem, which is NP-hard. We present Mutas, an efficient scheduling algorithm that jointly optimizes server assignment and resource management. We also consider the online version of M3AS and present OnMutas. Extensive evaluations demonstrate that both Mutas and OnMutas can significantly reduce the service delays of MAR applications when compared to three other heuristics. |
| Databáze: | OpenAIRE |
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