- “Altruistic Scheduling in Multi-Resource Clusters” by Robert Grandl, University of Wisconsin–Madison; Mosharaf Chowdhury, University of Michigan; Aditya Akella, University of Wisconsin–Madison; Ganesh Ananthanarayanan, Microsoft Research
- “GRAPHENE: Packing and Dependency-Aware Scheduling for Data-Parallel Clusters” by Robert Grandl, Microsoft and University of Wisconsin–Madison; Srikanth Kandula and Sriram Rao, Microsoft; Aditya Akella, Microsoft and University of Wisconsin—Madison; Janardhan Kulkarni, Microsoft
- “Morpheus: Towards Automated SLOs for Enterprise Clusters” by Sangeetha Abdu Jyothi, Microsoft and University of Illinois at Urbana–Champaign; Carlo Curino, Ishai Menache, and Shravan Matthur Narayanamurthy, Microsoft; Alexey Tumanov, Microsoft and Carnegie Mellon University; Jonathan Yaniv, Technion–Israel Institute of Technology; Ruslan Mavlyutov, Microsoft and University of Fribourg; Inigo Goiri, Subru Krishnan, Janardhan Kulkarni, and Sriram Rao, Microsoft
- “Efficient Network Reachability Analysis Using a Succinct Control Plane Representation” by Seyed K. Fayaz and Tushar Sharma, Carnegie Mellon University; Ari Fogel, Intentionet; Ratul Mahajan, Microsoft Research; Todd Millstein, University of California, Los Angeles; Vyas Sekar, Carnegie Mellon University; George Varghese, University of California, Los Angeles
- “CLARINET: WAN-Aware Optimization for Analytics Queries” by Raajay Viswanathan, University of Wisconsin–Madison; Ganesh Ananthanarayanan, Microsoft; Aditya Akella, University of Wisconsin–Madison
- “Realizing the Fault-Tolerance Promise of Cloud Storage Using Locks with Intent” by Srinath Setty, Microsoft Research; Chunzhi Su, The University of Texas at Austin and Microsoft Research; Jacob R. Lorch and Lidong Zhou, Microsoft Research; Hao Chen, Shanghai Jiao Tong University and Microsoft Research; Parveen Patel and Jinglei Ren, Microsoft Research
- “Unobservable Communication over Fully Untrusted Infrastructure” by Sebastian Angel, The University of Texas at Austin and New York University; Srinath Setty, Microsoft Research
- “Big Data Analytics over Encrypted Datasets with Seabed” by Antonis Papadimitriou, University of Pennsylvania and Microsoft Research India; Ranjita Bhagwan, Nishanth Chandran, and Ramachandran Ramjee, Microsoft Research India; Andreas Haeberlen, University of Pennsylvania; Harmeet Singh and Abhishek Modi, Microsoft Research India; Saikrishna Badrinarayanan, University of California, Los Angeles and Microsoft Research India
- “History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters” by Yunqi Zhang, University of Michigan and Microsoft Research; George Prekas, École Polytechnique Fédérale de Lausanne (EPFL) and Microsoft Research; Giovanni Matteo Fumarola and Marcus Fontoura, Microsoft; Inigo Goiri and Ricardo Bianchini, Microsoft Research