Highly available and scalable grid services
Proceedings of the Third Workshop on Dependable Distributed Data Management
Combining Hilbert SFC and bruijn graphs for searching computing markets in a P2P system
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
A modular framework for the development of peer-to-peer applications and services
International Journal of Grid and Utility Computing
Regression-based resource provisioning for session slowdown guarantee in multi-tier Internet servers
Journal of Parallel and Distributed Computing
A peer-to-peer collaboration framework for multi-sensor data fusion
Journal of Network and Computer Applications
The XtreemOS Resource Selection Service
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Section: Extended Version of SASO 2011 Best Paper
Decentralized resource discovery mechanisms for distributed computing in peer-to-peer environments
ACM Computing Surveys (CSUR)
| Hi-index | 0.00 |
Many large-scale utility computing infrastructures comprise heterogeneous hardware and software resources. This raises the need for scalable resource selection services, which identify resources that match application requirements, and can potentially be assigned to these applications. We present a fully decentralized resource selection algorithm by which resources autonomously select themselves when their attributes match a query. An application specifies what it expects from a resource by means of a conjunction of (attribute, value-range) pairs, which are matched against the attribute values of resources. We show that our solution scales in the number of resources as well as in the number of attributes, while being relatively insensitive to churn and other membership changes such as node failures.