We develop a new contracts-based resource sharing model for federated geo-distributed clouds that allows cloud service providers to establish contractual relationships with individual datacenters for defined time intervals. Based on the established contracts, individual cloud service providers employ a cost-aware job scheduling and provisioning algorithm that enables tasks to complete and meet their response time requirements.
What is the challenge?
- How to decide Resource Sharing Contracts guaranteeing both Fairness and Efficiency?
- How to quantify utility of the contracts for the Cloud Service Providers?
- How to Schedule Jobs in a contracts-aware manner among the available Geo-distributed Data Centers?
How the System Works?
- Auction-based Contracts Establishment (Designed based on McAfee Mechanism)
- Truthfulness: No incentives to Cheat Makes the Market More Efficient and Fair
- Budget Balance: Keeps the Resource Allocation process Sustainable
- Naturally Finds the Equilibrium Between Supply and Demand
- Fine-grained Utility Function Design considering:
- Operating Cost
- Payment from Users
- Penalty for Violating SLAs
- Resource Sharing Contracts
- Relatively Long Contracts Avoid Frequent Migrations
- Predetermined Allocations minimize Disruption of Normal Operations in the Data Centers
- Cost-aware Scheduling
- Optimize the Cost of Using Contracts
- Jinlai Xu, Balaji Palanisamy (2017). Cost-aware Resource Management for Federated Clouds Using Resource Sharing Contracts, IEEE Cloud 2017.
- Jinlai Xu, Balaji Palanisamy (2018). Optimized Contract-based Model for Resource Allocation in Federated Geo-distributed Clouds, IEEE TSC.