Overview

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

Publications

• 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.

Slides