Dynamic, scalable and flexible resource discovery for large-dimension many-core systems

Zarrin, Javad and Aguiar, Rui L. and Barraca, João Paulo (2015) Dynamic, scalable and flexible resource discovery for large-dimension many-core systems. Future Generation Computer Systems, 53. pp. 119-129. ISSN 0167-739X

Full text not available from this repository.
Official URL: https://doi.org/10.1016/j.future.2014.12.011

Abstract

Future large scale systems will execute novel operating systems running across many chips with many cores. In this highly distributed environment, resource discovery is an important building block. Resource discovery aims to match the application’s demands to the existing (distributed) resources, by discovering and finding resources at run-time, and then selecting the best resource that matches the application running requirements. The main contribution of this paper is the design and evolution of a highly scalable, highly flexible, resource discovery model for such heterogeneous environments. The model is based on self-organizing processing resources in the system according to a hierarchical resource description where each group of resources has a local directory that collects and keeps the information of the underlying resource members (cores) in different layers. Operationally, at each layer, it consists of a peer-to-peer architecture of modules that, by interacting with each other, provide a global view of the resource availability in a large, dynamic and heterogeneous distributed environment. The proposed resource discovery model provides the adaptability and flexibility to perform complex querying by supporting a large set of significant querying features (such as multi-dimensional, range and aggregate querying) while supporting exact and partial matching, both for static and dynamic object contents. The paper demonstrates by simulation how the proposed model can deal with issues such as scalability, efficiency and adaptability of resource discovery in future many-core systems which are the major challenges in the current state of the art. The simulation shows that the proposed resource discovery model can be applied to arbitrary scales of dynamicity, both in terms of complexity and of scale, positioning this proposal as a good architecture for future many-core systems.

Item Type: Journal Article
Keywords: Many-core systems, Service oriented operating system, Resource discovery, Resource management, Cloud-like systems, Distributed systems
Faculty: ARCHIVED Faculty of Science & Technology (until September 2018)
Depositing User: Lisa Blanshard
Date Deposited: 10 Mar 2020 13:18
Last Modified: 10 Mar 2020 13:18
URI: http://arro.anglia.ac.uk/id/eprint/705279

Actions (login required)

Edit Item Edit Item