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- research-articleDecember 2017
Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware ConferencePages 109–120https://doi.org/10.1145/3135974.3135993Developers use Machine Learning (ML) platforms to train ML models and then deploy these ML models as web services for inference (prediction). A key challenge for platform providers is to guarantee response-time Service Level Agreements (SLAs) for ...
- research-articleDecember 2017
DoubleDecker: a cooperative disk caching framework for derivative clouds
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware ConferencePages 235–247https://doi.org/10.1145/3135974.3135992Derivative clouds, light weight application containers provisioned in virtual machines, are becoming viable and cost-effective options for infrastructure and software-based services. Ubiquitous dynamic memory management techniques in virtualized systems ...
- research-articleDecember 2017
Rafiki: a middleware for parameter tuning of NoSQL datastores for dynamic metagenomics workloads
- Ashraf Mahgoub,
- Paul Wood,
- Sachandhan Ganesh,
- Subrata Mitra,
- Wolfgang Gerlach,
- Travis Harrison,
- Folker Meyer,
- Ananth Grama,
- Saurabh Bagchi,
- Somali Chaterji
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware ConferencePages 28–40https://doi.org/10.1145/3135974.3135991High performance computing (HPC) applications, such as metagenomics and other big data systems, need to store and analyze huge volumes of semi-structured data. Such applications often rely on NoSQL-based datastores, and optimizing these databases is a ...
- research-articleDecember 2017
POLM2: automatic profiling for object lifetime-aware memory management for hotspot big data applications
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware ConferencePages 147–160https://doi.org/10.1145/3135974.3135986Big Data applications suffer from unpredictable and unacceptably high pause times due to bad memory management (Garbage Collection, GC) decisions. This is a problem for all applications but it is even more important for applications with low pause time ...
- research-articleDecember 2017
Binary compatible graphics support in Android for running iOS apps
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware ConferencePages 55–67https://doi.org/10.1145/3135974.3135981Mobile apps make extensive use of GPUs on smartphones and tablets to access Web content. To support pervasive Web content, we introduce three key OS techniques for binary graphics compatibility necessary to build a real-world system to run iOS and ...
- research-articleDecember 2017
Efficient covering for top-k filtering in content-based publish/subscribe systems
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware ConferencePages 174–184https://doi.org/10.1145/3135974.3135976We investigate the use of content-based publish/subscribe for data dissemination in large-scale applications with expressive filtering requirements. In particular, we focus on top-k subscription filtering, where a publication is delivered only to the k ...
- research-articleDecember 2017
Scheduler activations for interference-resilient SMP virtual machine scheduling
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware ConferencePages 222–234https://doi.org/10.1145/3135974.3135975The wide adoption of SMP virtual machines (VMs) and resource consolidation present challenges to efficiently executing multi-threaded programs in the cloud. An important problem is the semantic gaps between the guest OS and the hypervisor. The well-...
- proceedingDecember 2017
Middleware '17: Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference
Welcome to the Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, held in Las Vegas, Nevada, from 11th - 15th December, 2017. This annual conference started in 1998 and has evolved into the premier event for the discussion of innovations and ...
