Towards a lightweight task scheduling framework for cloud and edge platform
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[1] S. Alamouti,et al. Hybrid Edge Cloud: A Pragmatic Approach for Decentralized Cloud Computing , 2022, IEEE Communications Magazine.
[2] F. Turck,et al. Fog Native Architecture: Intent-Based Workflows to Take Cloud Native toward the Edge , 2022, IEEE Communications Magazine.
[3] D. Anagnostopoulos,et al. Fog Node Self-Control Middleware: Enhancing context awareness towards autonomous decision making in Fog Colonies , 2022, Internet Things.
[4] Sandeep Gupta. Non-functional requirements elicitation for edge computing , 2022, Internet Things.
[5] Nazar Khan,et al. Machine Learning at the Network Edge: A Survey , 2019, ACM Comput. Surv..
[6] Amit Kishor,et al. Task Offloading in Fog Computing for Using Smart Ant Colony Optimization , 2021, Wireless Personal Communications.
[7] Paul Davidsson,et al. Quality attributes in edge computing for the Internet of Things: A systematic mapping study , 2020, Internet Things.
[8] Hai Lin,et al. A survey on computation offloading modeling for edge computing , 2020, J. Netw. Comput. Appl..
[9] Mostafa Ghobaei-Arani,et al. A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective , 2020, Comput. Networks.
[10] Adel Nadjaran Toosi,et al. Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research , 2020, Internet Things.
[11] Mainak Adhikari,et al. DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing , 2020, IEEE Internet of Things Journal.
[12] Reinout Eyckerman,et al. Requirements for distributed task placement in the fog , 2020, Internet Things.
[13] Ya-Shu Chen,et al. Energy-Efficient Task Offloading for Time-Sensitive Applications in Fog Computing , 2019, IEEE Systems Journal.
[14] Balázs Sonkoly,et al. Towards Latency Sensitive Cloud Native Applications: A Performance Study on AWS , 2019, 2019 IEEE 12th International Conference on Cloud Computing (CLOUD).
[15] Mainak Adhikari,et al. Energy efficient offloading strategy in fog-cloud environment for IoT applications , 2019, Internet Things.
[16] Satish Narayana Srirama,et al. Edge Process Management: A case study on adaptive task scheduling in mobile IoT , 2019, Internet Things.
[17] Prasant Mohapatra,et al. Edge Cloud Offloading Algorithms: Issues, Methods, and Perspectives , 2018 .
[18] Yang Yang,et al. Fair Task Offloading among Fog Nodes in Fog Computing Networks , 2018, 2018 IEEE International Conference on Communications (ICC).
[19] Lianping Chen,et al. Microservices: Architecting for Continuous Delivery and DevOps , 2018, 2018 IEEE International Conference on Software Architecture (ICSA).
[20] Min Dong,et al. Multi-User Multi-Task Offloading and Resource Allocation in Mobile Cloud Systems , 2018, IEEE Transactions on Wireless Communications.
[21] Min Chen,et al. Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network , 2018, IEEE Journal on Selected Areas in Communications.
[22] Saeed Sharifian,et al. Cloudlet dynamic server selection policy for mobile task off-loading in mobile cloud computing using soft computing techniques , 2017, The Journal of Supercomputing.
[23] Zdenek Becvar,et al. Mobile Edge Computing: A Survey on Architecture and Computation Offloading , 2017, IEEE Communications Surveys & Tutorials.
[24] Thomas Dreibholz,et al. NorNet Core - A multi-homed research testbed , 2014, Comput. Networks.
[25] Thomas Dreibholz,et al. Overview and Evaluation of the Server Redundancy and Session Failover Mechanisms in the Reliable Server Pooling Framework , 2009 .
[26] Nancy A. Lynch,et al. Brewer's conjecture and the feasibility of consistent, available, partition-tolerant web services , 2002, SIGA.