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ARIA: automatic resource inference and allocation for mapreduce environments
TLDR
This work designs a MapReduce performance model and implements a novel SLO-based scheduler in Hadoop that determines job ordering and the amount of resources to allocate for meeting the job deadlines and validate the approach using a set of realistic applications. Expand
Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory
TLDR
This paper presents Consistent and Durable Data Structures (CDDSs), a single-level data store that, on current hardware, allows programmers to safely exploit the low-latency and non-volatile aspects of new memory technologies. Expand
Stochastic Variational Video Prediction
TLDR
This paper develops a stochastic variational video prediction (SV2P) method that predicts a different possible future for each sample of its latent variables, and is the first to provide effective Stochastic multi-frame prediction for real-world video. Expand
A Middleware Infrastructure for Active Spaces
TLDR
Gaia exports services to query, access, and use existing resources and context, and provides a framework to develop user-centric, resource-aware, multidevice, context-sensitive, and mobile applications. Expand
Gaia: A Middleware Infrastructure to Enable Active Spaces1
TLDR
An experimental middleware infrastructure is presented that is used to prototype the resource management of and provide the useroriented interfaces for physical spaces populated with network-enabled computing resources and can help satisfy the requirements for user-centricity and mobility. Expand
Model-Based Reinforcement Learning for Atari
TLDR
Simulated Policy Learning (SimPLe), a complete model-based deep RL algorithm based on video prediction models, is described and a comparison of several model architectures is presented, including a novel architecture that yields the best results in the authors' setting. Expand
R-Storm: Resource-Aware Scheduling in Storm
TLDR
R-Storm (Resource-Aware Storm), a system that implements resource-aware scheduling within Storm is presented, designed to increase overall throughput by maximizing resource utilization while minimizing network latency. Expand
Big Data: Astronomical or Genomical?
TLDR
Estimates show that genomics is a “four-headed beast”—it is either on par with or the most demanding of the domains analyzed here in terms of data acquisition, storage, distribution, and analysis. Expand
Error recovery in asynchronous systems
TLDR
A framework for the provision of fault tolerance in asynchronous systems is introduced that allows the construction of systems using both forward and backward error recovery and thus allows the exploitation of the complementary benefits of the two schemes. Expand
Monitoring, Security, and Dynamic Configuration with the dynamicTAO Reflective ORB
TLDR
The design and implementation of dynamicTAO is a CORBA-compliant reflective ORB that supports dynamic configuration and maintains an explicit representation of its own internal structure and uses it to carry out runtime customization safely. Expand
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