Table of Contents

• Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-designPengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric Xing. 1-13 [doi]
• Dynamic and Decentralized Global Analytics via Machine LearningHao Wang, Di Niu, Baochun Li. 14-25 [doi]
• Continuum: A Platform for Cost-Aware, Low-Latency Continual LearningHuangshi Tian, Minchen Yu, Wei Wang. 26-40 [doi]
• Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network TrainingLiang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy. 41-54 [doi]
• Bolt-On Global Consistency for the CloudZhe Wu, Edward Wijaya, Muhammed Uluyol, Harsha V. Madhyastha. 55-67 [doi]
• SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State MachinesHanyu Zhao, Quanlu Zhang, Zhi Yang, Ming Wu, Yafei Dai. 68-81 [doi]
• Early Scheduling in Parallel State Machine ReplicationEduardo Alchieri, Fernando Luís Dotti, Fernando Pedone. 82-94 [doi]
• Uncertainty Propagation in Data Processing SystemsIoannis Manousakis, Iñigo Goiri, Ricardo Bianchini, Sandro Rigo, Thu D. Nguyen. 95-106 [doi]
• Elasecutor: Elastic Executor Scheduling in Data Analytics SystemsLibin Liu, Hong Xu 0001. 107-120 [doi]
• Stratus: cost-aware container scheduling in the public cloudAndrew Chung, Jun Woo Park, Gregory R. Ganger. 121-134 [doi]
• Kairos: Preemptive Data Center Scheduling Without Runtime EstimatesPamela Delgado, Diego Didona, Florin Dinu, Willy Zwaenepoel. 135-148 [doi]
• Overload Control for Scaling WeChat MicroservicesHao Zhou, Ming Chen, Qian Lin, Yong Wang, Xiaobin She, SiFan Liu, Rui Gu, Beng Chin Ooi, Junfeng Yang. 149-161 [doi]
• Mutant: Balancing Storage Cost and Latency in LSM-Tree Data StoresHobin Yoon, Juncheng Yang, Sveinn Fannar Kristjansson, Steinn E. Sigurdarson, Ymir Vigfusson, Ada Gavrilovska. 162-173 [doi]
• Wharf: Sharing Docker Images in a Distributed File SystemChao Zheng, Lukas Rupprecht, Vasily Tarasov, Douglas Thain, Mohamed Mohamed 0001, Dimitrios Skourtis, Amit Warke, Dean Hildebrand. 174-185 [doi]
• Netco: Cache and I/O Management for Analytics over Disaggregated StoresVirajith Jalaparti, Chris Douglas, Mainak Ghosh, Ashvin Agrawal, Avrilia Floratou, Srikanth Kandula, Ishai Menache, Joseph (Seffi) Naor, Sriram Rao. 186-198 [doi]
• Unikernels as ProcessesDan Williams, Ricardo Koller, Martin Lucina, Nikhil Prakash. 199-211 [doi]
• libVNF: Building Virtual Network Functions Made EasyPriyanka Naik, Akash Kanase, Trishal Patel, Mythili Vutukuru. 212-224 [doi]
• RoGUE: RDMA over Generic Unconverged EthernetYanfang Le, Brent Stephens, Arjun Singhvi, Aditya Akella, Michael M. Swift. 225-236 [doi]
• VIP: Virtual Performance-State for Efficient Power Management of Virtual MachinesKi-Dong Kang, Mohammad Alian, Daehoon Kim, Jaehyuk Huh, Nam Sung Kim. 237-248 [doi]
• Henge: Intent-driven Multi-Tenant Stream ProcessingFaria Kalim, Le Xu, Sharanya Bathey, Richa Meherwal, Indranil Gupta. 249-262 [doi]
• Sprocket: A Serverless Video Processing FrameworkLixiang Ao, Liz Izhikevich, Geoffrey M. Voelker, George Porter. 263-274 [doi]
• RIOS: Runtime Integrated Optimizer for SparkYoufu Li, Mingda Li, Ling Ding, Matteo Interlandi. 275-287 [doi]
• ScootR: Scaling R Dataframes on Dataflow SystemsAndreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan José Fumero, Volker Markl. 288-300 [doi]
• GraPU: Accelerate Streaming Graph Analysis through Preprocessing Buffered UpdatesFeng Sheng, Qiang Cao, Haoran Cai, Jie Yao, Changsheng Xie. 301-312 [doi]
• DScope: Detecting Real-World Data Corruption Hang Bugs in Cloud Server SystemsTing Dai, Jingzhu He, Xiaohui Gu, Shan Lu, Peipei Wang. 313-325 [doi]
• Weighted Sampling of Execution Traces: Capturing More Needles and Less HayPedro Henrique B. Las-Casas, Jonathan Mace, Dorgival O. Guedes, Rodrigo Fonseca. 326-332 [doi]
• Debugging Distributed Systems with Why-Across-Time ProvenanceMichael Whittaker, Cristina Teodoropol, Peter Alvaro, Joseph M. Hellerstein. 333-346 [doi]
• The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload: a View from Alibaba TraceQixiao Liu, Zhibin Yu 0001. 347-360 [doi]
• I Heard It through the Firewall: Exploiting Cloud Management Services as an Information Leakage ChannelHyun Wook Baek, Eric Eide, Robert Ricci, Jacobus E. van der Merwe. 361-373 [doi]
• DC-DRF: Adaptive Multi-Resource Sharing at Public Cloud ScaleIan A. Kash, Greg O'Shea, Stavros Volos. 374-385 [doi]
• Fast and Accurate Load Balancing for Geo-Distributed Storage SystemsKirill Bogdanov, Waleed Reda, Gerald Q. Maguire Jr., Dejan Kostic, Marco Canini. 386-400 [doi]
• IONN: Incremental Offloading of Neural Network Computations from Mobile Devices to Edge ServersHyuk-Jin Jeong, Hyeon-Jae Lee, Chang Hyun Shin, Soo-Mook Moon. 401-411 [doi]
• Multi-Query Optimization in Wide-Area Streaming AnalyticsAlbert Jonathan, Abhishek Chandra, Jon B. Weissman. 412-425 [doi]
• ApproxJoin: Approximate Distributed JoinsDo Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia, Spyros Blanas, Ruichuan Chen, Christof Fetzer, Thorsten Strufe. 426-438 [doi]
• Pay One, Get Hundreds for Free: Reducing Cloud Costs through Shared Query ExecutionRenato Marroquin, Ingo Müller 0002, Darko Makreshanski, Gustavo Alonso. 439-450 [doi]
• Cloud Index Tracking: Enabling Predictable Costs in Cloud Spot MarketsSupreeth Shastri, David E. Irwin. 451-463 [doi]
• Cascade Mapping: Optimizing Memory Efficiency for Flash-based Key-value CachingKefei Wang, Feng Chen. 464-476 [doi]
• SifrDB: A Unified Solution for Write-Optimized Key-Value Stores in Large DatacenterFei Mei, Qiang Cao, Hong Jiang 0001, Jingjun Li. 477-489 [doi]
• An Efficient Memory-Mapped Key-Value Store for Flash StorageAnastasios Papagiannis, Giorgos Saloustros, Pilar González-Férez, Angelos Bilas. 490-502 [doi]
• Scheduling CPU for GPU-based Deep Learning JobsWencong Xiao, Zhenhua Han, Hanyu Zhao, Xuan Peng, Quanlu Zhang, Fan Yang, Lidong Zhou. 503 [doi]
• Application-Agnostic Batch Workload Management in Cloud EnvironmentsSeyyed Ahmad Javadi, Shalini Bhaskara, Rahul Doshi, Prashanth Soundarapandian, Muhammad Wajahat, Anshul Gandhi. 504 [doi]
• Decentralized Distributed Deep Learning in Heterogeneous WAN EnvironmentsRankyung Hong, Abhishek Chandra. 505 [doi]
• Resource Profile Advisor for Containers in Cognitive PlatformMehmet F. Aktas, Chen Wang, Alaa Youssef, Malgorzata Gosia Steinder. 506 [doi]
• Secure In-memory Key-Value Storage with SGXTaehoon Kim, Joongun Park, Jae-Woo Chang, Seungheun Jeon, Jaehyuk Huh. 507 [doi]
• Untethered: Deployable Blockchains for IoT EnvironmentsKolbeinn Karlsson, Danny Adams, Gloire Rubambiza, Zangyueyang Xian, Robbert van Renesse, Hakim Weatherspoon, Stephen B. Wicker. 508 [doi]
• Does your fault-tolerant system tolerate faults?Kamala Ramasubramanian, Peter Alvaro. 509 [doi]
• SLO Computational SprintingNathaniel Morris, Indrajeet Saravanan, Pollyanna Cao, Jerry Ding, Christopher Stewart. 510 [doi]
• SSD QoS Improvements through Machine LearningChandranil Chakrabortti, Vikas Sinha, Heiner Litz. 511 [doi]
• Auto-Scaling with Apprenticeship LearningKamal Hakimzadeh, Patrick K. Nicholson, Diego Lugones. 512 [doi]
• Rejig: A Scalable Online Algorithm for Cache Server Configuration ChangesShahram Ghandeharizadeh, Marwan Almaymoni, Haoyu Huang. 513 [doi]
• RangeQC: A Framework for Caching Range Predicate Query ResultsShahram Ghandeharizadeh, Yazeed Alabdulkarim, Hieu Nguyen. 514 [doi]
• Scalable and Reliable RDMAYoumin Chen, Jiwu Shu, Youyou Lu. 515 [doi]
• Network Scheduling in the DarkVojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla. 516 [doi]
• Energy-aware and Machine Learning-based Resource Provisioning of In-Memory Analytics on CloudHosein Mohammadi Makrani, Hossein Sayadi, Devang Motwani, Han Wang, Setareh Rafatirad, Houman Homayoun. 517 [doi]
• Multi-tenant Isolation of What?: Building a Secure Tenant Isolation Architecture for Cloud NetworksBruno Medeiros, Marcos A. Simplício Jr., Ewerton R. Andrade. 518 [doi]
• Plumb: Efficient Processing of Multi-User PipelinesAbdul Qadeer, John S. Heidemann. 519 [doi]
• WITCAT: A Workload Spike Targeted Cloud Management SolutionJunjie Chen, Xiaomin Zhu, Weidong Bao, Zhong Liu, Ling Liu 0001. 520 [doi]
• Fast Distributed Deep Learning via Worker-adaptive Batch SizingChen Chen 0015, Qizhen Weng, Wei Wang 0030, Baochun Li, Bo Li 0001. 521 [doi]
• Experimental Evaluation of Sketching Techniques for Big Spatial DataA. B. Siddique, Ahmed Eldawy. 522 [doi]
• Mnemo: Boosting Memory Cost Efficiency in Hybrid Memory SystemsThaleia Dimitra Doudali, Ada Gavrilovska. 523 [doi]
• The Curious Case of Container Orchestration and Scheduling in GPU-based DatacentersPrashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut T. Kandemir, Chita R. Das. 524 [doi]
• ShadeNF: A Platform for Online Network Function VerificationYu Sun, Hui Lu 0001, Abhinav Srivastava, Cong Xu. 525 [doi]
• Elastic Provisioning of Cloud Caches: a Cost-aware TTL ApproachDamiano Carra, Giovanni Neglia, Pietro Michiardi. 526 [doi]
• Data-Driven Resource Shaping for Compute ClustersFrancesco Pace, Dimitrios Milios, Damiano Carra, Daniele Venzano, Pietro Michiardi. 527 [doi]
• Drishti: Disaggregated and Interoperable Security Analytics Framework for CloudShripad Nadgowda, Canturk Isci. 528 [doi]
• Memory-Oriented Distributed Computing at Rack ScaleHaris Volos 0001, Kimberly Keeton, Yupu Zhang, Milind Chabbi, Se Kwon Lee, Mark Lillibridge, Yuvraj Patel, Wei Zhang. 529 [doi]
• High-Performance Multi-Rail Erasure Coding Library over Modern Data Center Architectures: Early ExperiencesHaiyang Shi, Xiaoyi Lu, Dipti Shankar, Dhabaleswar K. Panda. 530-531 [doi]
• iQCAR: Inter-Query Contention AnalyzerPrajakta Kalmegh, Shivnath Babu, Sudeepa Roy. 532 [doi]
• A ML-based Runtime System for Executing Dataflow Graphs on Heterogeneous ProcessorsSubho S. Banerjee, Arjun P. Athreya, Zbigniew Kalbarczyk, Steven Lumetta, Ravishankar K. Iyer. 533-534 [doi]
• TEE-KV: Secure Immutable Key-Value Store for Trusted Execution EnvironmentsAtsushi Koshiba, Ying Yan, Zhongxin Guo, Mitaro Namiki, Lidong Zhou. 535 [doi]