#### Filter Results:

- Full text PDF available (35)

#### Publication Year

1993

2007

- This year (0)
- Last 5 years (0)
- Last 10 years (1)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Steven S. Seiden
- ICALP
- 2001

A new framework for analyzing online bin packing algorithms is presented. This framework presents a unified way of explaining the performance of algorithms based on the Harmonic approach. Within this framework, it is shown that a new algorithm, Harmonic++, has asymptotic performance ratio at most 1.58889. It is also shown that the analysis of Harmonic+1… (More)

- Steven S. Seiden, Rob van Stee
- Algorithmica
- 2002

New upper and lower bounds are presented for a multi-dimensional generalization of bin packing called box packing.Several variants of this problem, including bounded space box packing, square packing, variable sized box packing and resource augmented box packing are also studied. The main results, stated for <i>d</i> = 2, are as follows: A new upper bound… (More)

- Steven S. Seiden
- STOC
- 2000

We present the first general framework for proving lower bounds for randomized online algorithms using the von Neumann/Yao principle. This framework encompasses and explains many existent lower bound results, and allows us to prove several new ones. The foremost of the new results is a lower bound of 1.58197 for the online TCP acknowledgment problem of… (More)

- Steven S. Seiden
- Theor. Comput. Sci.
- 2001

The problem of online multiprocessor scheduling with rejection was introduced by Bartal, Leonardi, Marchetti-Spaccamela, Sgall and Stougie 4]. They show that for this problem the competitive ratio is 1 + 2:61803, where is the golden ratio. A modiied model of multipro-cessor scheduling with rejection is presented where preemption is allowed. For this model,… (More)

- Steven S. Seiden, Jirí Sgall, Gerhard J. Woeginger
- Oper. Res. Lett.
- 2000

We investigate the problem of semi-online scheduling jobs on m identical parallel machines where the jobs arrive in order of decreasing sizes. We present a complete solution for the preemptive variant of semi-online scheduling with decreasing job sizes. We give matching lower and upper bounds on the competitive ratio for any xed number m of machines; these… (More)

We study the problem of online scheduling on two uniform machines with speeds 1 and s 1. A 1:61803 competitive deterministic algorithm was already known. We present the rst randomized results for this problem: We show that randomization does not help for speeds s 2, but does help for all s < 2. We present a simple memoryless randomized algorithm with… (More)

- Sandy Irani, Steven S. Seiden
- Theor. Comput. Sci.
- 1995

Borodin, Linial, and Saks introduce a general model for online systems in BLS92] called task systems and show a deterministic algorithm which achieves a competitive ratio of 2n ?1 for any metrical task system with n states. We present a randomized algorithm which achieves a competitive ratio of e=(e?1)n?1=(e?1) 1:5820n?0:5820 for this same problem. For the… (More)

- Steven S. Seiden
- Oper. Res. Lett.
- 1998

- Steven S. Seiden, Gerhard J. Woeginger
- Math. Program.
- 2005

- Vitus J. Leung, Esther M. Arkin, +6 authors Steven S. Seiden
- CLUSTER
- 2002

The Computational Plant or Cplant is a commodity-based supercomputer under development at Sandia National Laboratories. This paper describes resource-allocation strategies to achieve processor locality for parallel jobs in Cplant and other supercomputers. Users of Cplant and other Sandia supercomputers submit parallel jobs to a job queue. When a job is… (More)