Streaming Approximation Scheme for Minimizing Total Completion Time on Parallel Machines Subject to Varying Processing Capacity
- Resource Type
- Authors
- Bin Fu; Yumei Huo; Hairong Zhao
- Source
- Subject
- FOS: Computer and information sciences
General Computer Science
Computer Science - Data Structures and Algorithms
Data Structures and Algorithms (cs.DS)
Theoretical Computer Science
- Language
- English
We study the problem of minimizing total completion time on parallel machines subject to varying processing capacity. In this paper, we develop an approximation scheme for the problem under the data stream model where the input data is massive and cannot fit into memory and thus can only be scanned for a few passes. Our algorithm can compute the approximate value of the optimal total completion time in one pass and output the schedule with the approximate value in two passes.