Decentralized Kubernetes Federation Control Plane
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Erik Elmroth | Harald Gustafsson | Cristian Klein | Lars Larsson | E. Elmroth | C. Klein | L. Larsson | H. Gustafsson
[1] Anja Feldmann,et al. Logically centralized?: state distribution trade-offs in software defined networks , 2012, HotSDN '12.
[2] Franco Cicirelli,et al. An edge-based platform for dynamic Smart City applications , 2017, Future Gener. Comput. Syst..
[3] Weisong Shi,et al. Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.
[4] Muli Ben-Yehuda,et al. The Reservoir model and architecture for open federated cloud computing , 2009, IBM J. Res. Dev..
[5] Yashar Ganjali,et al. HyperFlow: A Distributed Control Plane for OpenFlow , 2010, INM/WREN.
[6] Maria Kihl,et al. Impact of etcd deployment on Kubernetes, Istio, and application performance , 2020, Softw. Pract. Exp..
[7] Yuan Cheng,et al. A string-wise CRDT algorithm for smart and large-scale collaborative editing systems , 2017, Adv. Eng. Informatics.
[8] Martín Casado,et al. Onix: A Distributed Control Platform for Large-scale Production Networks , 2010, OSDI.
[9] Neil A. Ernst,et al. Performance Evaluation of NoSQL Databases: A Case Study , 2015, PABS@ICPE.
[10] David Mazières,et al. Kademlia: A Peer-to-Peer Information System Based on the XOR Metric , 2002, IPTPS.
[11] Sérgio Duarte,et al. An optimized conflict-free replicated set , 2012, ArXiv.
[12] Marc Shapiro,et al. Conflict-Free Replicated Data Types , 2011, SSS.
[13] Erik Elmroth,et al. Scheduling and monitoring of internally structured services in Cloud federations , 2011, 2011 IEEE Symposium on Computers and Communications (ISCC).
[14] Michael Derntl,et al. Near Real-Time Peer-to-Peer Shared Editing on Extensible Data Types , 2016, GROUP.
[15] Scott Shenker,et al. Epidemic algorithms for replicated database maintenance , 1988, OPSR.
[16] Russell Brown,et al. Big(ger) sets: decomposed delta CRDT sets in Riak , 2016, PaPoC@EuroSys.
[17] Olov Schelén,et al. DOCMA: A Decentralized Orchestrator for Containerized Microservice Applications , 2019, 2019 IEEE Cloud Summit.
[18] Usama Ahmed,et al. Risk-Based Service Selection in Federated Clouds , 2018, 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion).
[19] Daniel J. Abadi,et al. Consistency Tradeoffs in Modern Distributed Database System Design: CAP is Only Part of the Story , 2012, Computer.
[20] Flavien Quesnel,et al. Cooperative Dynamic Scheduling of Virtual Machines in Distributed Systems , 2011, Euro-Par Workshops.
[21] Christopher Meiklejohn. On the composability of the Riak DT map: expanding from embedded to multi-key structures , 2014, PaPEC '14.
[22] Weihai Yu. A string-wise CRDT for group editing , 2012, GROUP '12.
[23] John K. Ousterhout,et al. In Search of an Understandable Consensus Algorithm , 2014, USENIX Annual Technical Conference.
[24] Hua-Jun Hong,et al. Distributed analytics in fog computing platforms using tensorflow and kubernetes , 2017, 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS).
[25] Ali Shoker,et al. Efficient State-Based CRDTs by Delta-Mutation , 2014, NETYS.
[26] Fetahi Zebenigus Wuhib,et al. Edge Computing Resource Management System: a Critical Building Block! Initiating the debate via OpenStack , 2018, HotEdge.
[27] Thierry Coupaye,et al. Combining Heuristics to Optimize and Scale the Placement of IoT Applications in the Fog , 2018, 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC).
[28] Adrien Lebre,et al. Flauncher and DVMS Deploying and Scheduling Thousands of Virtual Machines on Hundreds of Nodes Distributed Geographically , 2013 .
[29] Marco Aiello,et al. Metrics for Sustainable Data Centers , 2017, IEEE Transactions on Sustainable Computing.
[30] Benoit Hudzia,et al. Future Generation Computer Systems Optimis: a Holistic Approach to Cloud Service Provisioning , 2022 .