Journal
IEEE INTERNET OF THINGS JOURNAL
Volume 5, Issue 4, Pages 2672-2681Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2018.2792940
Keywords
Cloud computing; edge computing; energy efficiency; heterogeneous systems; microservice scheduling.
Categories
Funding
- MONROE-Toff Project (H2020) [644399]
- NETIO-ForestMon [53/05.09.2016, SMIS2014+105976]
- SPERO [PN-III-P2-2.1-SOL-2016-03-0046, 3Sol/2017]
- ROBIN [PN-III-P1-1.2-PCCDI-2017-0734]
- Basic Science Research Program through National Research Foundation of Korea (NRF) - Ministry of Education [2017R1A6A1A03015496]
- National Research Foundation of Korea [2017R1A6A1A03015496] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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Motivated by the high-interest in increasing the utilization of nongeneral purpose devices in reaching computational objectives with a reduced cost, we propose a new model for scheduling microservices over heterogeneous cloud- edge environments. Our model uses a particular mathematical formulation for describing an architecture that includes heterogeneous machines that can handle different microservices. Since any new model asks for an early risk-analysis of the solution, we improved the CloudSim simulation framework to be suitable for an experiment that includes that kind of systems. In this paper, we discuss two examples of real-life utilizations of our proposed scheduling architecture. For an objective appreciation of the first example, we also include some experimental results based on the developed simulation tool. As a result of our interpretation of the experimental results we find out that some very simple scheduling algorithms may outperform some others in given situations that are frequently present in cloud-edge environments when we are using a microservice-oriented approach.
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