A metaheuristic approach for minimizing service creation time in slice-enabled networks

A fundamental technology towards the next generation of mobile networks is the Network Slicing, i.e., the capability to “slice” network resources and functions and to offer isolated end-to-end network services over shared physical infrastructures. From the performance perspective, one of the main challenges in network slicing is the minimisation of the slice set up time; a factor that directly effects a key performance indicator for the 5G networks, namely, the service creation time. Treating a network slice as a set of Virtual Network Functions (VNFs) that are installed in different hosts (central/edge clouds) during the slice creation procedure, we examine a nature-inspired metaheuristic approach for scheduling the VNFs installation process. Simulation results prove that the proposed metaheuristic method can offer high quality solutions for VNF scheduling problems and optimize service creation time for a set of requested network slices, by producing a close-to-optimal scheduling plan, for a large set of VNFs, in reasonable execution time.

[1]  Yanping Li,et al.  A dynamic programming based heuristic in Max-algebra for solving a blocking flow-shop problem , 2013, Proceedings of 2013 2nd International Conference on Measurement, Information and Control.

[2]  Jianshuang Cui,et al.  A Hybrid Heuristic Neighborhood Algorithm for the Job Shop Scheduling Problem , 2008, 2008 Fourth International Conference on Natural Computation.

[3]  Wei Liu,et al.  A Brief Survey on Nature-Inspired Metaheuristics for Feature Selection in Classification in this Decade , 2019, 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC).

[4]  Joel J. P. C. Rodrigues,et al.  Metaheuristic Scheduling for Cloud: A Survey , 2014, IEEE Systems Journal.

[5]  Eduard Escalona,et al.  Virtual network function scheduling: Concept and challenges , 2014, 2014 International Conference on Smart Communications in Network Technologies (SaCoNeT).

[6]  P. Dhavachelvan,et al.  A survey on nature inspired meta-heuristic algorithms with its domain specifications , 2016, 2016 International Conference on Communication and Electronics Systems (ICCES).

[7]  Ying Wang,et al.  An Improved Genetic Algorithm for the Scheduling of Virtual Network Functions , 2019, 2019 20th Asia-Pacific Network Operations and Management Symposium (APNOMS).

[8]  Jose Ordonez-Lucena,et al.  Network Slicing for 5G with SDN/NFV: Concepts, Architectures, and Challenges , 2017, IEEE Communications Magazine.

[9]  Mehran Abolhasan,et al.  Mapping and Scheduling for Non-Uniform Arrival of Virtual Network Function (VNF) Requests , 2019, 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall).

[10]  Rubén M. Lorenzo,et al.  A Genetic Algorithm for VNF Provisioning in NFV-Enabled Cloud/MEC RAN Architectures , 2018 .

[11]  Kanate Ploydanai,et al.  Future Makespan Heuristic for job shop scheculing problem , 2010, The 40th International Conference on Computers & Indutrial Engineering.

[12]  Ravi Sethi,et al.  The Complexity of Flowshop and Jobshop Scheduling , 1976, Math. Oper. Res..

[13]  Xiaohong Guan,et al.  A hybrid algorithm for scheduling in job shop problem with flexible resources , 2010, IEEE ICCA 2010.

[14]  Chandradeepa Kurera,et al.  New Approach to Solve Dynamic Job Shop Scheduling Problem Using Genetic Algorithm , 2018, 2018 3rd International Conference on Information Technology Research (ICITR).

[15]  Leonid Smalov,et al.  Comparative Performance of Genetic Algorithm, Simulated Annealing and Ant Colony Optimisation in solving the Job-shop Scheduling Problem , 2018, 2018 26th International Conference on Systems Engineering (ICSEng).

[16]  Qiang Zhang,et al.  Optimization for Multi-Resources-Constrained Job Shop Scheduling Based on Three-level Heuristic Algorithm , 2009, 2009 International Asia Conference on Informatics in Control, Automation and Robotics.

[17]  Sirapat Chiewchanwattana,et al.  A Comparative of Neural Network with Metaheuristics for Electricity Consumption Forecast Modelling , 2018, 2018 22nd International Computer Science and Engineering Conference (ICSEC).

[18]  Manpreet Singh,et al.  Metaheuristic based workflow scheduling in cloud environment , 2016, 2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO).