Abstract: In Edge Computing platform, services are decentralized from cloud center to the edge of the platform supporting on-premises and latency sensitive applications. For this reason, traditional security mechanisms are not suitable to ensure trustworthiness of distributed and multi- tenant attributes of edge platform. Similarly by utilizing Docker as edge server, trustworthiness of host, containers and service becomes a high priority issue. Therefore in such platform run-time security assessment of the edge stack must be applied to ensure trustworthiness of resources and service. In this paper, we propose multifaceted trust framework to quantify trustworthiness of the edge servers based on security assessment of the edge stack. A chain measurement is applied to assessment process to allow insurance of the effect of each edge server’s trustworthiness history on the container orchestration.

• Publication Date: 26-Sep-2016
• DOI: 10.15224/978-1-63248-104-7-19
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Abstract: The natural honeybee’s behavior has been modelled by researchers to solve optimization problems. This paper introduces the Bee algorithm based on honeybee behavior for the vehicle routing problem with time windows (VRPTW). The algorithm has been tested on Solomon instances. The encoding of the problem and the operations needed to implement algorithm are outlined. Experiments show that on the considered instances, using BA performs almost as well as planning for long-term, while using much less computation time. Overall, computational investigations show that the proposed algorithm is good and promising approach for the VRPTW.

• Publication Date: 26-Sep-2016
• DOI: 10.15224/978-1-63248-104-7-51
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