ACM/IFIP/USENIX Middleware 2017

Las Vegas, Nevada

Dec 11-15, 2017

Preliminary List of Accepted Papers

The review process for regular papers of Middleware 2017 has been completed. Below is the list of papers that are conditionally accepted.

  • Scheduler Activations for Interference-Resilient SMP Virtual Machine Scheduling
    Yong Zhao and Kun Suo (University of Texas at Arlington); Luwei Cheng (Facebook); Jia Rao (University of Texas at Arlington)
  • Efficient Covering for Top-k Filtering in Content-Based Publish/Subscribe Systems
    Kaiwen Zhang (Technical University of Munich); Mohammad Sadoghi (Purdue University); Vinod Muthusamy (IBM T.J. Watson Research Center); Hans-Arno Jacobsen (University of Toronto)
  • Sieve: Actionable Insights from Monitored Metrics in Distributed Systems
    Jörg Thalheim and Antonio Rodrigues (NOKIA Bell Labs*); Istemi Ekin Akkus (NOKIA Bell Labs); Pramod Bhatotia (University of Edinburgh); Ruichuan Chen (NOKIA Bell Labs); Bimal Viswanath and Lei Jiao (NOKIA Bell Labs*); Christof Fetzer (TU Dresden)
  • Rectify: Black-Box Intrusion Recovery in PaaS Clouds
    David R. Matos, Miguel Pardal, and Miguel Correia (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa)
  • A Programming Model for Application-defined Multipath TCP Scheduling
    Alexander Frömmgen, Amr Rizk, Tobias Erbshäußer, Max Weller, Boris Koldehofe, Alejandro Buchmann, and Ralf Steinmetz (TU Darmstadt)
  • Data-driven Serverless Functions for Object Storage
    Josep Sampé, Marc Sánchez-Artigas, Pedro Garcı́a-López, and Gerard París (Universitat Rovira i Virgili)
  • Binary Compatible Graphics Support in Android for Running iOS Apps
    Jeremy Andrus, Naser AlDuaij, and Jason Nieh (Columbia University)
  • ORCA: an ORChestration Automata for Configuring VNFs
    Jesus Omana Iglesias, Jordi Arjona Aroca, Volker Hilt, and Diego Lugones (Nokia Bell Labs)
  • SPECTRE: Supporting Consumption Policies in Window-Based Parallel Complex Event Processing
    Ruben Mayer, Ahmad Slo, Muhammad Adnan Tariq, Kurt Rothermel, and Manuel Gräber (University of Stuttgart); Umakishore Ramachandran (Georgia Institute of Technology)
  • Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach
    Vicent Sanz Marco, Ben Taylor, Barry Porter, and Zheng Wang (Lancaster University)
  • Ginja: One-dollar Cloud-based Disaster Recovery for Databases
    Joel Alcantara, Tiago Oliveira, and Alysson Bessani (FCUL)
  • POLM2: Automatic Profiling for Object Lifetime-Aware Memory Management for HotSpot Big Data Applications
    Rodrigo Bruno and Paulo Ferreira (INESC-ID / Instituto Superior Técnico, University of Lisbon)
  • X-Search: Revisiting Private Web Search using Intel SGX
    Ben Mokhtar Sonia (LIRIS, CNRS, Université de Lyon); Boutet Antoine (LIRIS, Université de Lyon); Felber Pascal, Pasin Marcelo, Pires Rafael, and Schiavoni Valerio (University of Neuchatel)
  • Rivulet: Fault-Tolerant Platform for Smart-Home Applications
    Masoud Saeida Ardekani (Samsung Research); Rayman Preet Singh (Amazon); Nitin Agrawal (Samsung Research); Douglas B. Terry (Amazon); Riza O. Suminto (University of Chicago)
  • StreamApprox: Approximate Computing for Stream Analytics
    Do Le Quoc (TU Dresden); Ruichuan Chen (Nokia Bell Labs); Pramod Bhatotia (University of Edinburgh); Christof Fetzer (TU Dresden); Volker Hilt (Nokia Bell Labs); Thorsten Strufe (TU Dresden)
  • Sense-Aid: A framework for enabling network as a service for participatory sensing
    Heng Zhang, Nawanol Theera-Ampornpunt, He Wang, and Saurabh Bagchi (Purdue University); Rajesh K. Panta (AT&T Labs)
  • Rafiki: A Middleware for Parameter Tuning of NoSQL Datastores for Dynamic Metagenomics Workloads
    Ashraf Mahgoub, Paul Wood, and Sachandhan Ganesh (Purdue University); Subrata Mitra (Adobe Research); Wolfgang Gerlach, Travis Harrison, and Folker Meyer (Argonne National Laboratory); Ananth Grama, Saurabh Bagchi, and Somali Chaterji (Purdue University)
  • DoubleDecker: A cooperative memory management framework for derivative clouds
    Debadatta Mishra, Prashanth, and Purushottam Kulkarni (Indian Institute of Technology Bombay)
  • Swayam: Distributed Autoscaling to Meet SLAs of Machine Learning Inference Services with Resource Efficiency
    Arpan Gujarati (MPI-SWS); Sameh Elnikety and Yuxiong He (Microsoft Research); Kathryn S. McKinley (Google, Inc.); Björn B. Brandenburg (MPI-SWS)
  • HyperDrive: Exploring Hyperparameters with POP Scheduling
    Jeff Rasley (Brown University); Yuxiong He (Microsoft); Feng Yan (University of Nevada, Reno); Olatunji Ruwase (Microsoft); Rodrigo Fonseca (Brown University)