SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
netWorker - Cloud computing: PC functions move onto the web
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
A Weight-Based Dynamic Replica Replacement Strategy in Data Grids
APSCC '08 Proceedings of the 2008 IEEE Asia-Pacific Services Computing Conference
Future Generation Computer Systems
The impact of data replication on job scheduling performance in the Data Grid
Future Generation Computer Systems
An Efficient Replication Strategy for Dynamic Data Grids
3PGCIC '10 Proceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing
Distributed Popularity Based Replica Placement in Data Grid Environments
PDCAT '10 Proceedings of the 2010 International Conference on Parallel and Distributed Computing, Applications and Technologies
Enhanced Fast Spread Replication strategy for Data Grid
Journal of Network and Computer Applications
Replication techniques in data grid environments
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
On cloud computing security issues
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Reliability, efficiency (in term of time consumption) and effectiveness in resources utilization are the desired quality attributes of Cloud scheduling system, the main purpose of which is to execute jobs optimally, i.e. with minimum average waiting, turnaround and response time. Replication provides improved availability, decreased bandwidth use, increased fault tolerance, and improved scalability. To speed up access, file can be replicated so a user can access a nearby replica. In this paper, we propose an architecture to convert Globally One Cloud to Locally Many Clouds. By combining replication and scheduling, this architecture will improve efficiency, accessibility, reliability, availability and scalability. In the case of failure of one sub cloud or one cloud service, clients can start using another cloud under "failover" techniques. As a result, no one cloud service will go down.