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Proceedings ArticleDOI

A global resource positioning system for ubiquitous clouds

Ahmed Khalifa, +1 more
- pp 145-150
TLDR
This paper motivates and presents the GRPS concept and its architecture, which aims to aid the formation of mobile computing clouds by providing a dynamic real-time resource scheduling and tracking system that can be accessed through the iCloud.
Abstract
We are witnessing the emergence of the ubiquitous resource-infinite computing paradigm. Significant benefits accrue, ranging from added convenience and services for users, to enhanced efficiency and reduced cost for organizations, to improved on-demand resource availability for under-connected areas, extreme environments and distress situations. To this end, we proposed PlanetCloud, a distributed platform that aims to facilitate ubiquitous cloud computing. Integral to PlanetCloud is a Global Resource Positioning System (GRPS), which is an opt-in dynamic spatiotemporal resource calendaring and scheduling system ubiquitously accessed via a portable application (termed iCloud). In this paper, we motivate and present the GRPS concept and its architecture. GRPS would enable the provisioning of, otherwise idle, fixed and mobile resources to effect ubiquitous computing clouds. It aims to aid the formation of mobile computing clouds by providing a dynamic real-time resource scheduling and tracking system that can be accessed through the iCloud. GPRS is designed to access and maintain dynamic data from spatiotemporal calendars, social networking and other sources to enhance resource discovery, forecasting and status tracking to provide access to the right-sized cloud resources anytime and anywhere. We provide an analytical model to compute the resource request-response time. Our results show that we can adapt the performance of a response according to node density and contention window size.

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Citations
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Proceedings Article

Collaborative Autonomic Resource Management System for Mobile Cloud Computing

TL;DR: This paper presents CARMS architecture and its associated Adaptive List-based Scheduling and Allocation AlgorithM (ALSALAM) for adaptive task scheduling and resource allocation, which offers effective and efficient support for mobile cloud computing that has not yet been adequately provided by prior research.
Proceedings ArticleDOI

A trust management system for ad-hoc mobile clouds

Ahmed Hammam, +1 more
TL;DR: A trust management system (TMC) for mobile ad-hoc clouds is proposed that considers availability, neighbors' evaluation and response quality and task completeness in calculating the trust value for a node.
Proceedings ArticleDOI

Resilient hybrid Mobile Ad-hoc Cloud over collaborating heterogeneous nodes

TL;DR: Results show that PlanetCloud can provision high level of resource availability transparently maintaining the applications' QoS while preventing service disruption even in highly dynamic environments, and the approach to minimizing the cost of failure and facilitating easy load migration elevates the resilience of the HMAC to a great extent.
Proceedings ArticleDOI

Towards a Mobile Ad-Hoc Cloud Management Platform

TL;DR: Planet Cloud is proposed, a smart MAC management platform with an intrinsic support for highly mobile, heterogeneously-composed and dynamically-configured MACs that enables MACs to autonomously adapt to real-time dynamic variation in its underlying infrastructure isolating the hardware and code management concerns.
Proceedings ArticleDOI

MobiCloud: A reliable collaborative mobilecloud management system

TL;DR: This paper proposes a reliable collaborative mobilecloud management system (MobiCloud), which automatically manages task scheduling and reliable resource allocation and its associated Proactive Adaptive List-based Scheduling and Allocation AlgorithM (P-ALSALAM) for MCC.
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