Proceedings ArticleDOI
Resource Allocation with Supply Adjustment in Distributed Computing Systems
Amir Danak,Shie Mannor +1 more
- pp 498-506
TLDR
This work presents two resource-allocation mechanisms for on-demand computing services in parallel and distributed systems, where users pay for their actual usage of the computational resources.Abstract:
We present two resource-allocation mechanisms for on-demand computing services in parallel and distributed systems, where users pay for their actual usage of the computational resources. We specialize our solution for allocation of grid resources which is a challenging issue due to the dynamic behavior of the system. The problem is studied from the seller's point of view and adjustment of the market capacity is proposed as his strategic move to maximize his profit from resource sharing.read more
Citations
More filters
Journal ArticleDOI
Component Ranking for Fault-Tolerant Cloud Applications
TL;DR: By tolerating faults of a small part of the most significant components, the reliability of cloud applications can be greatly improved, and an algorithm is proposed to automatically determine an optimal fault-tolerance strategy for the significant cloud components.
Proceedings Article
Dynamic resource allocation for spot markets in clouds
TL;DR: A solution to the problem of optimally allocating resources for revenue maximization is presented, and it is shown algorithms can approximate the optimal solutions to this problem under both fixed and variable pricing schemes.
Proceedings ArticleDOI
Flexible use of cloud resources through profit maximization and price discrimination
Konstantinos Tsakalozos,Herald Kllapi,Eva Sitaridi,Mema Roussopoulos,Dimitris Paparas,Alex Delis +5 more
TL;DR: This paper employs microeconomics to direct the allotment of cloud resources for consumption in highly scalable master-worker virtual infrastructures and shows that there is an equilibrium point at which this method achieves resource sharing proportional to each user's budget.
Proceedings ArticleDOI
Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing
Wei Wang,Baochun Li,Ben Liang +2 more
TL;DR: A near-optimal solution that has significantly lower complexity and is shown to asymptotically approach the optimal revenue is developed, and it is shown that optimal periodic auctions must follow the design of m+1-price auction with seller's reservation price.
Proceedings Article
The resource-as-a-service (RaaS) cloud
TL;DR: This work argues that the Resource-as-a-Service cloud is the likely culmination of recent trends in the construction of IaaS clouds and of the economic forces operating on both providers and clients.
References
More filters
Book
A course in probability theory
TL;DR: This edition of A Course in Probability Theory includes an introduction to measure theory that expands the market, as this treatment is more consistent with current courses.
Journal ArticleDOI
Auctions of Shares
TL;DR: Unit and share auctions, 675, 676, no proprietary information, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689
BookDOI
Market-based control: a paradigm for distributed resource allocation
TL;DR: A computational market model based on individual action was proposed in this paper, where the authors proposed an equilibratory market-based approach for distributed resource allocation and their applications to communication network control.
Journal ArticleDOI
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
TL;DR: The authors measure the efficiency of resource allocation under two different market conditions—commodities markets and auctions—and compare both market strategies in terms of price stability, market equilibrium, consumer efficiency, and producer efficiency.
Related Papers (5)
Combinatorial auction-based allocation of virtual machine instances in clouds
Sharrukh Zaman,Daniel Grosu +1 more