An Auction-driven Self-organizing Cloud Delivery Model

Abstract

The three traditional cloud delivery models -IaaS, PaaS, and SaaS -constrain access to cloud resources by hiding their raw functionality and forcing us to use them indirectly via a restricted set of actions. Can we introduce a new delivery model, and, at the same time, support improved security, a higher degree of assurance, find relatively simple solutions to the hard cloud resource management problems, eliminate some of the inefficiencies related to resource virtualization, allow the assembly of clouds of clouds, and, last but not least, minimize the number of interoperability standards?We sketch a self-organizing architecture for very large compute clouds composed of many-core processors and heterogeneous coprocessors. We discuss how self-organization will address each of the challenges described above. The approach is bid-centric. The system of heterogeneous cloud resources is dynamically, and autonomically, configured to bid to meet the needs identified in a high-level task or service specification. When the task is completed, or the service is retired, the resources are released for subsequent reuse.Our approach mimics the process followed by individual researchers who, in response to a call for proposals released by a funding agency, organize themselves in groups of various sizes and specialities. If the bid is successful, then the group carries out the proposed work and releases the results. After the work is completed, individual researchers in the group disperse, possibly joining other groups or submitting individual bids in response to other proposals. Similar protocols are common to other human activities such as procurement management.

Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes

“…Those authors introduced a price-setting combinatorial auction to solve this problem. In contrast, Marinescu and others [43] proposed a self-organizing architecture for large-scale cloud computing with a scalable combinatorial auction-based solution. In contrast, Coltin and others [44] presented an auction-based scheduling algorithm for enhancing the efficiency of item delivery between robots.…”

Neural Myerson auction for truthful and energy-efficient autonomous aerial data delivery

“…A multi-round pricing-setting based combinatorial auction approach is proposed to solve the problem. The proposed algorithm in [24] sketches a self-organizing architecture for very large compute clouds and provides a relatively simple, scalable, and tractable solution to cloud resource allocation through the combinatorial auction. On the other hand, the proposed algorithm in [25] introduces an auction-based scheduling algorithm that plans to transfer items between robots to conduct deliveries in a more efficient way.…”

Bid-Centric Cloud Service Provisioning

“…At the simplest level, this internal information could include up-to-date pricing and utilization data. However, more exotic schemes are possible, in particular the use of self-organization techniques to respond to individual tenders [3]. We see this as an important future direction because it creates a new delivery model for Cloud Computing that augments the traditional IaaS, PaaS, and SaaS models.…”