2005
DOI: 10.1007/11596356_75
|View full text |Cite
|
Sign up to set email alerts
|

Incorporating Global Index with Data Placement Scheme for Multi Channels Mobile Broadcast Environment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
9
0

Year Published

2008
2008
2017
2017

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(9 citation statements)
references
References 11 publications
0
9
0
Order By: Relevance
“…Then, each channel broadcasts the subset of data items in a 'round robin' manner [30]. Waluyo et al [10] presented a Global Indexing with data placement scheme in multi-channel broadcast environments. The scheme considered index and data allocation over multiple broadcast channels which aimed to minimize query access time, tuning time and power consumption.…”
Section: Algorithms For Multi-channel Push-based Broadcastmentioning
confidence: 99%
See 1 more Smart Citation
“…Then, each channel broadcasts the subset of data items in a 'round robin' manner [30]. Waluyo et al [10] presented a Global Indexing with data placement scheme in multi-channel broadcast environments. The scheme considered index and data allocation over multiple broadcast channels which aimed to minimize query access time, tuning time and power consumption.…”
Section: Algorithms For Multi-channel Push-based Broadcastmentioning
confidence: 99%
“…On the other hand, many applications also require the support of a multi-channel architecture due to various reasons such as application scalability, fault tolerance and performance requirements [8,9]. Although several algorithms have been proposed in this architecture [10][11][12][13], they are designed for push-based broadcast systems. This paper makes two main contributions.…”
Section: Introductionmentioning
confidence: 99%
“…The clients are to obtain the index directory from the channel and use it in subsequent reads. The index enables mobile clients to conserve energy by switching to "doze" mode and back to "active mode" when the data is about to be broadcast [26,27].…”
Section: B Index Broadcastmentioning
confidence: 99%
“…The search continues until an exact match is reached, the current root node is most similar to the query object, or a leaf node is reached, where in this case the leaf node will be the best match. Furthermore, SSeg-tree can be used to enhance the effectiveness of various multimedia indexing applications, such as the systems in Waluyo et al (2005), Yang and Hurson (2005), Rahayu (2003, 2004) and So (2005).…”
Section: Figurementioning
confidence: 99%