PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities
IEEE Transactions on Knowledge and Data Engineering
Gossip-based aggregation in large dynamic networks
ACM Transactions on Computer Systems (TOCS)
Introducing Risk Management into the Grid
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
ACM Transactions on Computer Systems (TOCS)
Cost Analysis of Current Grids and Its Implications for Future Grid Markets
GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
Risk Informed Computer Economics
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
SLA as a complementary currency in peer-2-peer markets
GECON'10 Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services
Preference driven server selection in peer-2-peer data sharing systems
Proceedings of the fourth international workshop on Data-intensive distributed computing
Protector: A Probabilistic Failure Detector for Cost-Effective Peer-to-Peer Storage
IEEE Transactions on Parallel and Distributed Systems
Brokering of risk-aware service level agreements in grids
Concurrency and Computation: Practice & Experience
Revenue-Based resource management on shared clouds for heterogenous bursty data streams
GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
A cost analysis of cloud computing for education
GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
Business-driven management of infrastructure-level risks in Cloud providers
Future Generation Computer Systems
Hi-index | 0.00 |
On-line service delivery undertaken between clients and service providers often incurs risks for both the client and the provider, especially when such an exchange takes place in the context of an electronic service market. For the client, the risk involves determining whether the requested service will be delivered on time and based on the previously agreed Service Level Agreement (SLA). Often risk to the client can be mitigated through the use of a penalty clause in an SLA. For the provider, the risk revolves around ensuring that the client will pay the advertised price and more importantly whether the provider will be able to deliver the advertised service to not incur the penalty identified in the SLA. This becomes more significant when the service providers outsource the actual enactment/execution to a data centre --- a trend that has become dominant in recent years, with the emergence of infrastructure providers such as Amazon.com. In this work we investigate the notion of "risk" from a variety of different perspectives and demonstrate how risk to a service owner (who uses an external, third party data centre for service hosting) can be managed more effectively. A simulation based approach is used to validate our findings.