A Comparison on MANETs’ Service Replication Schemes: Interest versus Topology Prediction- A Cost Model for Distributed Coverage Processing Services
- An Evaluation Methodology and Framework for Semantic Web Services Technology
- An Interest-Based Load Balancing Mechanism for the Service Distribution Protocol in MANETs
- Enabling Trust-Aware Semantic Web Service Selection – A Flexible and Personalized Approach
- Enabling Trust-Aware Semantic Web Service Selection – A Flexible and Personalized Approach
- Evaluating Semantic Web Service Technologies: Criteria, Approaches and Challenges
- Heuristic Geo Query Decomposition and Orchestration in a SOA
- Impact of Heterogeneous Mobility Models on the Service Distribution Protocol for MANETs
- Information and Management Support for Mass Casualty Incident Scenarios
- IntrospectiveViews: An Interface for Scrutinizing Semantic User Models
- Measures for Benchmarking Semantic Web Service Matchmaking Correctness (SEALS Best Evaluation Paper Award)
- New Service Selection Strategies for the Service Distribution Protocol for MANETs.
- Scrutinizing User Interest Models with IntrospectiveViews
- SDP Primary Implementation in Microsoft® VisualC++®, A Service Distribution Protocol for MANETs
- SDP-Implementation in Opnet® v.1: MANETs’ Service Replication and Load Balancing: Release Notes-User Manual-Programmer Guide
- SDP-Implementation in Opnet® v.2, SDP-Based Composite Service Execution in MANETs: Release Notes-User Manual-Programmer Guide
- Semantic Enrichment of Social Media Resources for Adaptation
- Service Replication in Wireless Mobile Ad Hoc Networks
- Supporting Consumers in Providing Meaningful Multi-Criteria Judgments
A Cost Model for Distributed Coverage Processing Services
| Title: | A Cost Model for Distributed Coverage Processing Services |
|---|---|
| Authors: | Owonibi, M., Baumann, P. |
| Source: | ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information System |
| Place: | New York, USA |
| Date: | 2010-10-28 |
| Type: | Publication |
| Abstract: |
Geo-scientific imagery with its high volumes and complex evaluation algorithms seems to be a good candidate for distributed processing. Typically today, algorithms offered via geo Web services are static, hence their distribution can be done manually in a relatively straightforward manner. This is different when it comes to SQL-style query languages and their flexibility. The Open Geospatial Consortium (OGC) Web Coverage Processing Service (WCPS) standard provides such a query language on multi-dimensional raster data. We present our research on an efficient distribution of coverage queries in a cloud based on a set of criteria. The paper’s main contribution is a cost model for distributed processing of coverages. This includes determining the cost of executing different coverage data processing operations on different servers based on operations semantics, together with the costs of data transfer, data I/O, data decoding and encoding, etc. Important distributed coverage processing metrics and a server’s calibration procedure for obtaining the metrics’ values, as well as the experimental evaluation of the cost model are presented in this paper. |
| URL: | http://dx.doi.org/10.1145/1869692.1869696 |