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A modeling framework for optimizing the flow-level scheduling with time-varying channels
We introduce a comprehensive modeling framework for the problem of scheduling a finite number of finite-length jobs where the available service rate is time-varying. The main motivation comes fromExpand
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Value of information in optimal flow-level scheduling of users with Markovian time-varying channels
  • P. Jacko
  • Computer Science
  • Perform. Evaluation
  • 1 November 2011
In this paper, we design, characterize in closed-form, and evaluate a new index rule for Markovian time-varying channels, which gives rise to a simple opportunistic scheduling rule for flow-levelExpand
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A nearly-optimal index rule for scheduling of users with abandonment
We analyze a comprehensive model for multi-class job scheduling accounting for user abandonment, with the objective of minimizing the total discounted or time-average sum of linear holding costs andExpand
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Scheduling of users with markovian time-varying transmission rates
We address the problem of developing a well-performing and implementable scheduler of users with wireless connection to the base station. The main feature of such real-life systems is that theExpand
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Nearly-optimal scheduling of users with Markovian time-varying transmission rates
We address the problem of developing a well-performing and implementable scheduler of users with wireless connections to the central controller, which arise in areas such as mobile data networks,Expand
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Floating band D2D: Exploring and exploiting the potentials of adaptive D2D-enabled networks
In this paper, we propose Floating Band D2D, an adaptive framework to exploit the full potential of Device-to-Device (D2D) transmission modes. We show that inband and outband D2D modes exhibitExpand
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Lake Michigan air quality: The 1994―2003 LADCO Aircraft Project (LAP)
Abstract The goal of the 1994 to 2003 LADCO Airplane Project (LAP) was to study ozone formation over Lake Michigan so that equitable regional control strategies could be devised. This paper for theExpand
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Resource capacity allocation to stochastic dynamic competitors: knapsack problem for perishable items and index-knapsack heuristic
  • P. Jacko
  • Mathematics, Computer Science
  • Ann. Oper. Res.
  • 1 June 2016
In this paper we propose an approach for solving problems of optimal resource capacity allocation to a collection of stochastic dynamic competitors. In particular, we introduce the knapsack problemExpand
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An opportunistic and non-anticipating size-aware scheduling proposal for mean holding cost minimization in time-varying channels
In this paper we study how to design a scheduling strategy aimed at minimizing the average holding cost for flows with general size distribution when the feasible transmission rate of each userExpand
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Optimal anticipative congestion control of flows with time-varying input stream
This paper is concerned with a new type of congestion control method that we call anticipative congestion control, which exploits probabilistic information available at a network node aboutExpand
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