An Auction-driven Self-organizing Cloud Delivery Model

نویسندگان

  • Dan C. Marinescu
  • Ashkan Paya
  • John P. Morrison
  • Philip D. Healy
چکیده

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.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Self-Organization Mechanisms for Service Composition in Cloud Computing

Cloud computing is becoming an interesting alternative as a flexible and affordable on-demand environment for deploying custom applications in the form of services. In this work, a self-organizing system model based on dynamic relation network is proposed. In the model, autonomic element can self-adapted to the weight of the relationship under the guidance of the self-organizing policy. Based o...

متن کامل

LORD: Leader-based framework for Resource Discovery in Mobile Device Clouds

The cooperative arrangement of Device-to-Device (D2D) communications-enabled devices for sharing distributed resources brings many new opportunities. In this paper, we use the term “Mobile Cloud” for representing a mobile peer-to-peer network where devices themselves are resource providers. One of the most important problems required to be addressed before real implementation of such mobile clo...

متن کامل

[Article] Self-Chord: a Bio-Inspired P2P Framework for Self-Organizing Distributed Systems

This paper presents “Self-Chord,” a peer-to-peer (P2P) system that inherits the ability of Chord-like structured systems for the construction and maintenance of an overlay of peers, but features enhanced functionalities deriving from ant-inspired algorithms, such as autonomous behavior, self-organization, and capacity to adapt to a changing environment. As opposed to the structured P2P systems ...

متن کامل

A Multi-attribute Reverse Auction Framework Under Uncertainty to the Procurement of Relief Items

One of the main activities of humanitarian logistics is to provide relief items for survivors in case of a disaster. To facilitate the procurement operation, this paper proposes a bidding framework for supplier selection and optimal allocation of relief items. The proposed auction process is divided into the announcement construction, bid construction and bid evaluation phases. In the announcem...

متن کامل

Adapting Self-Organizing Maps to the MapReduce Programming Paradigm

We present an adaption of the self organizing map (SOM) useful for cluster analysis of large quantities of data such as music classification or customer behavior analysis. The algorithm is based on the batch SOM formulation which has been successfully adopted to other parallel architectures and perfectly suits the map reduce programming paradigm, thus enabling the use of large cloud computing i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • CoRR

دوره abs/1312.2998  شماره 

صفحات  -

تاریخ انتشار 2013