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PASE: Pro-active Service Embedding in The Mobile Edge
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Mobile edge computing offers ultra-low latency, high bandwidth, and high reliabil-ity. Thus, it can support a plethora of emerging services that can be placed in close proximity to the user. One of the fundamental problems in this context is maximiz-ing the benefit from the placement of networked services, while meeting bandwidth and latency constraints. In this study, we propose an adaptive and predictive resource allocation strategy for virtual-network function placement comprising services at the mobile edge. Our study focuses on maximizing the service provider's benefit under user mobility, i.e., uncertainty. This problem is NP-hard. Therefore, we propose a heuristic solution: we exploit local knowledge about the likely movements of users to speculatively allocate service functions. We allow the service functions to be allo-cated at different edge nodes, as long as latency and bandwidth constraints are met. We evaluate our proposal against a theoretically optimal algorithm as well as against recent previous work, using widely used simulation tools. Through an extensive simulation study, we demonstrate that under realistic scenarios, an adaptive and pro-active strategy coupled with flexible placement can achieve close-to-optimal benefit.
Virtual network embeddingEdge computing
Oleg Kolosov、Gala Yadgar、David Breitgand、Dean H. Lorenz
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Computer Science Department, Technion, Haifa, Israel
Hybrid Cloud, IBM Research - Israel, Haifa, Israel
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