Cost-Effective and Latency-Minimized Data Placement Strategy for Spatial Crowdsourcing in Multi-Cloud Environment

Keyphrases

• Latency 100%
• Spatial Crowdsourcing 100%
• Multi-cloud Environment 100%
• Data Placement Strategy 100%
• Effective Data 66%
• Geographical Distribution 66%
• Crowdsourcing 33%
• Cloud Service Provider 33%
• Cloud Computing 33%
• Cost Reduction 33%
• Rapid Growth 33%
• Cost-effectiveness 33%
• Storage Resources 33%
• Data Distribution 33%
• Existing Algorithms 33%
• Computing Resources 33%
• Genetic Algorithm 33%
• Disaster Response 33%
• System Cost 33%
• Massive Data 33%
• Crowdsourcing Platform 33%
• Urban Planning 33%
• Business Model 33%
• System Latency 33%
• Initialization Method 33%
• Distribution Characteristics 33%
• Clustering Algorithm 33%
• Data Placement 33%
• Minimal Latency 33%
• Privacy Leakage 33%
• Reliable Services 33%
• Latency Reduction 33%
• Pricing Strategy 33%
• Multi-cloud 33%
• Resource Provision 33%
• Vendor Lock-in 33%
• Placement Scheme 33%
• Single Cloud 33%

Computer Science

• Cloud Environment 100%
• Data Placement 100%
• Data Center 50%
• Cloud Computing 50%
• cloud provider 50%
• Storage Resource 50%
• Computing Resource 50%
• Genetic Algorithm 50%
• Collected Data 50%
• Clustering Algorithm 50%
• Business Models 50%
• Privacy Leakage 50%
• Latency Reduction 50%