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Award ID contains: 1907673

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  1. ; ; ; (, Mathematical Programming)
    Abstract This paper considers the basic problem of scheduling jobs online with preemption to maximize the number of jobs completed by their deadline onmidentical machines. The main result is anO(1) competitive deterministic algorithm for any number of machines$$m >1$$ m > 1 . 
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  2. ; ; (, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques)
    Accepted Manuscript Full Text Available
  3. ; ; ; (, SIAM Journal on Computing)
    Full Text Available 
  4. ; ; ; (, Symposium on Parallelism in Algorithms and Architectures)
    Accepted Manuscript Full Text Available
  5. ; ; ; (, International Conference on Database Theory)
    Accepted Manuscript Full Text Available
  6. ; ; (, SImplicity in Algorithms)
    Accepted Manuscript Full Text Available
  7. ; ; (, Springer)
    Motivated by demand-responsive parking pricing systems, we consider posted-price algorithms for the online metric matching prob- lem. We give an O(log n)-competitive posted-price randomized algorithm in the case that the metric space is a line. In particular, in this setting we show how to implement the ubiquitous guess-and-double technique using prices. 
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    Accepted Manuscript Full Text Available
  8. ; ; (, Operations Research Letters)
    Full Text Available 
  9. ; ; (, International Conference on Combinatorial Optimization and Applications)
    We consider the online transportation problem set in a metric space containing parking garages of various capacities. Cars arrive over time, and must be assigned to an unfull parking garage upon their arrival. The objective is to minimize the aggregate distance that cars have to travel to their assigned parking garage. We show that the natural greedy algorithm, augmented with garages of k ≥ 3 times the capacity, is (1 + 2/k-2)-competitive. 
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  10. ; ; ; (, Integer Programming and Combinatorial Optimization - 23rd International Conference, {IPCO})
    Aardal, Karen; Sanita, Laura (Ed.)
    This paper considers the basic problem of scheduling jobs online with preemption to maximize the number of jobs completed by their deadline on m identical machines. The main result is an O(1) competitive deterministic algorithm for any number of machines 𝑚>1. 
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    Full Text Available