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- abstractDecember 2017
Modeling and evaluating performances of complex edge computing based systems: a firefighting support system case study
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 261–262https://doi.org/10.1145/3150928.3150970Edge computing extends cloud computing by providing a subset of computational resources that are close to the application site, lowering the need for bandwidth and augmenting responsiveness. This allows implementing cloud benefits in critical ...
- abstractDecember 2017
Exact Computation and Bounds for the Coupling Time in Queueing Systems
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 252–253https://doi.org/10.1145/3150928.3150965This paper is a work in progress on the exact computation and bounds of the expected coupling time for finite-state Markov chains. We give an exact formula in terms of generating series. We show how this may help to bound the expected coupling time for ...
- demonstrationDecember 2017
marmoteCore: a Markov Modeling Platform
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 60–65https://doi.org/10.1145/3150928.3150960We present the marmoteCore software project, an open environment for modeling with Markov chains. This platform aims at providing the general scientific user with tools for creating Markov models and accessing the many solution algorithms available for ...
- demonstrationDecember 2017
Fast Min-plus Convolution and Deconvolution on GPUs
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 126–131https://doi.org/10.1145/3150928.3150958The min-plus convolution and deconvolution operations are frequently needed in the network calculus for computing performance metrics. However, due to their computational complexity, the operations can become impractical with large data sets. We provide ...
- research-articleDecember 2017
Achievable region with impatient customers
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 229–236https://doi.org/10.1145/3150928.3150953We consider a queueing system with heterogeneous agents. One class of agents demand immediate service, would leave the system if not provided. The second class of customers have longer job requirements and can wait for their turn. We discuss the ...
- research-articleDecember 2017
FCFS Parallel Service Systems and Matching Models
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 106–112https://doi.org/10.1145/3150928.3150951We consider three parallel service models in which customers of several types are served by several types of servers subject to a bipartite compatibility graph, and the service policy is first come first served. Two of the models have a fixed set of ...
- research-articleDecember 2017
Distributionally Robust Games: f-Divergence and Learning
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 148–155https://doi.org/10.1145/3150928.3150950In this paper we introduce the novel framework of distributionally robust games. These are multi-player games where each player models the state of nature using a worst-case distribution, also called adversarial distribution. Thus each player's payoff ...
- research-articleDecember 2017
Self, Social and Monopoly Optimization in Observable Queues
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 214–220https://doi.org/10.1145/3150928.3150949Naor's [8] celebrated paper studies customer decisions in an observable M/M/1 queue where customers utility from joining the system is is a linear decreasing function of the joined position in queue. Naor derives the optimal threshold strategies for the ...
- research-articleDecember 2017
Beyond Shortest Queue Routing with Heterogeneous Servers and General Cost Functions
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 206–213https://doi.org/10.1145/3150928.3150946Routing jobs to parallel servers is a common and important task in today's computer systems. Join-the-shortest-queue (JSQ) routing minimizes the mean response time under rather general settings as long as the servers are identical and service times are ...
- research-articleDecember 2017
Efficient Computation of Renaming Functions for ρ-reversible Discrete and Continuous Time Markov Chains
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 52–59https://doi.org/10.1145/3150928.3150942With the introduction of ρ-reversibility, the basic notion of reversible Markov chain has been relaxed by allowing a wider range of scenarios. Specifically, the reversibility properties are not just sought on the chain itself, but also on all the ...
- research-articleDecember 2017
On dimensioning Cloud-RAN systems
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 132–139https://doi.org/10.1145/3150928.3150937We investigate in this paper the implementation of a Cloud-RAN architecture, where several software-based Base Band Units (BBUs) are collocated in a cloud data center. We specifically study several scheduling strategies in order to accelerate the ...
- research-articleDecember 2017
Three-way Optimisation of Response Time, Subtask Dispersion and Energy Consumption in Split-Merge Systems
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 244–251https://doi.org/10.1145/3150928.3150934This paper investigates various ways in which the triple trade-off metrics between task response time, subtask dispersion and energy can be improved in split-merge queueing systems. Four ideas, namely dynamic subtask dispersion reduction, state-...
- abstractDecember 2017
Towards Energy Consumption Prediction with Safety Margins for Multicopter Systems
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 227–228https://doi.org/10.1145/3150928.3150964Multicopters are robotic systems with a remarkable degree of freedom and applicability. A significant limitation of all mobile robotic vehicles is the restricted on-board energy storage capacity and consequential limited operation time. Uninterrupted ...
- research-articleDecember 2017
Perturbation of CTMC Trapping Probabilities with Application to Model Repair
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 36–43https://doi.org/10.1145/3150928.3150947This paper studies properties of continuous-time Markov chains with one class of transient states and at least two absorbing states. We look at a perturbation of the chain that arises by uniformly decreasing all rates to absorption. For this situation, ...
- research-articleDecember 2017
Whittle networks with resets
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 28–35https://doi.org/10.1145/3150928.3150940We present an extension of Whittle networks with multiple classes of customers and some signals as defined by Gelenbe. Customers are queued and served according to the balance rules defined for Whittle networks. Signals are not queued and interact with ...
- research-articleDecember 2017
Modelling user behaviour at a stochastic road traffic bottleneck
VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and ToolsPages 140–147https://doi.org/10.1145/3150928.3150933Congestion in road traffic has received substantial attention in the research literature. One popular approach to modelling congesting and user response is the seminal bottleneck model introduced by Vickrey [25]. Here traffic is modelled as a fluid, and ...