1 INTRODUCTION  

2 MOTIVATIONS AND NEEDS FOR GEO-DISTRIBUTED BIG-DATA PROCESSING USING HADOOP OR SPARK  

3 CHALLENGES IN THE DEVELOPMENT OF GEO-DISTRIBUTED HADOOP OR SPARK BASED FRAMEWORKS  

4 ARCHITECTURES FOR GEO-DISTRIBUTED BIG-DATA PROCESSING  

5 DATA TRANSFER SYSTEMS/ALGORITHMS  

6 SCHEDULING IN GEO-DISTRIBUTED SYSTEMS  

7 CONCLUDING REMARKS AND OPEN ISSUES  