ran-GJS: Orchestrating data analytics for heterogeneous geo-distributed edges

Keyphrases

• Data Analytics 100%
• Geo-distributed 100%
• Network Bandwidth 66%
• Scarce Resources 66%
• Computing Capacity 66%
• Computing Networks 66%
• Yarn 33%
• Scheduling Problem 33%
• Near-optimal 33%
• High Probability 33%
• Latency 33%
• Scheduling Algorithm 33%
• NP-hardness 33%
• Data Transmission 33%
• Local Computation 33%
• Baseline Algorithm 33%
• Concentration Bounds 33%
• Data Analytics Service 33%
• Random Scheduling 33%
• Joint Scheduling 33%
• Task Completion Time 33%
• Average Completion Time 33%
• Dynamic Demand 33%
• Geo-distributed Data 33%
• Data-in-place 33%
• Geo-distributed Analytics 33%
• Preprocessing Data 33%
• Distributed Heterogeneous Systems 33%
• Martingale 33%
• Bandwidth Limitation 33%
• Heterogeneous Edge 33%
• Data Analytical 33%
• Large Volumes of Data 33%
• High Performance Data Analytics 33%

Computer Science

• Data Analytics 100%
• Network Bandwidth 100%
• Scheduling Problem 50%
• Completion Time 50%
• Speed-up 50%
• Scheduling Algorithm 50%
• Wide Area Network 50%
• Data Preprocessing 50%
• Task Completion Time 50%
• Experimental Result 50%