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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jianjun Li Jian-Jia Chen Ming Xiong Guohui Li |
| Copyright Year | 2011 |
| Abstract | Deriving deadlines and periods of update transactions for maintaining timeliness and data freshness has long been recognized as an important problem in real-time database research. Despite years of active research, the state of the art only focuses on uniprocessor systems. In this paper, we take a first step of studying the workload-aware temporal consistency maintenance problem upon multiprocessor platforms. We consider the problem of how to partition a set of update transactions to $m \ge 2$ processors to maintain the temporal consistency of real-time data objects under earliest deadline first (EDF) scheduling, while minimizing the total workload on $m$ processors. Firstly, we only consider the feasibility aspect of the problem by proposing a polynomial time partitioning scheme, Temporal Consistency Partitioning (TCP), and formally showing that the resource augmentation bound of TCP is $({3 - \frac{1}{m}})$. Secondly, we address the partition problem globally by proposing a polynomial time heuristic, Density factor Balancing Fit (DBF), where density factor balancing plays a major role in producing workload-efficient partitionings. Finally, we evaluate the feasibility and workload performances of DBF versus other heuristics with comparable quality experimentally. |
| Starting Page | 126 |
| Ending Page | 135 |
| File Size | 284913 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781457720000 |
| ISSN | 10528725 |
| DOI | 10.1109/RTSS.2011.19 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-29 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Program processors Real time systems Processor scheduling Scheduling Partitioning algorithms Databases Algorithm design and analysis Multiprocessor Real-Time Databases Temporal Consistency Deadline and Period Partitioning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Hardware and Architecture Software |
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