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Mu: An Efficient, Fair and Responsive Serverless Framework for Resource-Constrained Edge Clouds.

, , , , , , , , , and . SoCC, page 168-181. ACM, (2021)

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Matrix: Achieving Predictable Virtual Machine Performance in the Clouds., , , and . ICAC, page 45-56. USENIX Association, (2014)SDNFV: Flexible and Dynamic Software Defined Control of an Application- and Flow-Aware Data Plane., , , , and . CoRR, (2016)Toward a software-based network: integrating software defined networking and network function virtualization., , , , and . IEEE Netw., 29 (3): 36-41 (2015)GreenDataFlow: Minimizing the Energy Footprint of Global Data Movement., , , , , and . IEEE BigData, page 335-342. IEEE, (2018)Mu: An Efficient, Fair and Responsive Serverless Framework for Resource-Constrained Edge Clouds., , , , , , , , , and . SoCC, page 168-181. ACM, (2021)Failure-Aware Application Placement Modeling and Optimization in High Turnover DevOps Environment., , , and . CLOUD, page 115-123. IEEE, (2019)Towards Automated Planning for Enterprise Services: Opportunities and Challenges., , , , , , , , , and 3 other author(s). ICSOC, volume 11895 of Lecture Notes in Computer Science, page 64-68. Springer, (2019)Computing resource transformation, consolidation and decomposition in hybrid clouds.. CNSM, page 144-152. IEEE Computer Society, (2015)UniCache: Hypervisor Managed Data Storage in RAM and Flash., , , , and . IEEE CLOUD, page 216-223. IEEE Computer Society, (2014)Mortar: filling the gaps in data center memory., , , and . VEE, page 53-64. ACM, (2014)