How mobility increases mobile cloud computing processing capacity

In this paper, we address a important and still unanswered question in mobile cloud computing ``how mobility impacts the distributed processing power of network and computing clouds formed from mobile ad-hoc networks ?''. Indeed, mobile ad-hoc networks potentially offer an aggregate cloud of resources delivering collectively processing, storage and networking resources. We demonstrate that the mobility can increase significantly the performances of distributed computation in such networks. In particular, we show that this improvement can be achieved more efficiently with mobility patterns that entail a dynamic small-world network structure on the mobile cloud. Moreover, we show that the small-world structure can improve significantly the resilience of mobile cloud computing services

An Approach to Ad hoc Cloud Computing

We consider how underused computing resources within an enterprise may be harnessed to improve utilization and create an elastic computing infrastructure. Most current cloud provision involves a data center model, in which clusters of machines are dedicated to running cloud infrastructure software. We propose an additional model, the ad hoc cloud, in which infrastructure software is distributed over resources harvested from machines already in existence within an enterprise. In contrast to the data center cloud model, resource levels are not established a priori, nor are resources dedicated exclusively to the cloud while in use. A participating machine is not dedicated to the cloud, but has some other primary purpose such as running interactive processes for a particular user. We outline the major implementation challenges and one approach to tackling them

Design and analysis of peer 2 peer operating system

The peer to peer computing paradigm has become a popular paradigm for deploying distributed applications. Examples: Kadmelia, Chord, Skype, Kazaa, Big Table. Multiagent systems have become a dominant paradigm within AI for deploying reasoning and analytics applications. Such applications are compute-intensive. In disadvantaged networks the ad-hoc architecture is the most suitable one. Examples: military scenarios, disaster scenarios. We combine the paradigms of peer-to-peer computing, multiagent systems, cloud computing, and ad-hoc networks to create the new paradigm of ad-hoc peer-to-peer mobile agent cloud (APMA cloud) that can provide the computing power of a cloud in “disadvantaged” regions (e.g., through RF using a router or GPRS) – To this end we have designed and implemented a peer to peer operating system –PPOS that can leverage the computing power of such a cloud

Ad hoc Cloud Computing

This paper presents the first complete, integrated and end-to-end solution for ad hoc cloud computing environments. Ad hoc clouds harvest resources from existing sporadically available, non-exclusive (i.e. primarily used for some other purpose) and unreliable infrastructures. In this paper we discuss the problems ad hoc cloud computing solves and outline our architecture which is based on BOINC.Comment: Published in IEEE Cloud 2015 named "Ad hoc Cloud Computing

A Secure Spontaneous Mobile Ad Hoc Cloud Computing Network

[EN] Spontaneous ad hoc cloud computing networks let us perform complex tasks in a distributed manner by sharing computing resources. This kind of infrastructure is based on mobile devices with limited processing and storage capacity. Nodes with more processing capacity and energy in a spontaneous network store data or perform computing tasks in order to increase the whole computing and storage capacity. However, these networks can also present some problems of security and data vulnerability. In this paper, we present a secure spontaneous mobile ad hoc cloud computing network to make estimations using several information sources. The application is able to create users and manage encryption methods to protect the data sent through the network. The proposal has been simulated in several scenarios. The results show that the network performance depends mainly on the network size and nodes mobility.Sendra, S.; Lacuesta Gilaberte, R.; Lloret, J.; Macias Lopez, EM. (2017). A Secure Spontaneous Mobile Ad Hoc Cloud Computing Network. Journal of Internet Technology. 18(7):1485-1498. https://doi.org/10.6138/JIT.2017.18.7.20141221S1485149818

Ad hoc cloud computing

Commercial and private cloud providers offer virtualized resources via a set of co-located and dedicated hosts that are exclusively reserved for the purpose of offering a cloud service. While both cloud models appeal to the mass market, there are many cases where outsourcing to a remote platform or procuring an in-house infrastructure may not be ideal or even possible. To offer an attractive alternative, we introduce and develop an ad hoc cloud computing platform to transform spare resource capacity from an infrastructure owner’s locally available, but non-exclusive and unreliable infrastructure, into an overlay cloud platform. The foundation of the ad hoc cloud relies on transferring and instantiating lightweight virtual machines on-demand upon near-optimal hosts while virtual machine checkpoints are distributed in a P2P fashion to other members of the ad hoc cloud. Virtual machines found to be non-operational are restored elsewhere ensuring the continuity of cloud jobs. In this thesis we investigate the feasibility, reliability and performance of ad hoc cloud computing infrastructures. We firstly show that the combination of both volunteer computing and virtualization is the backbone of the ad hoc cloud. We outline the process of virtualizing the volunteer system BOINC to create V-BOINC. V-BOINC distributes virtual machines to volunteer hosts allowing volunteer applications to be executed in the sandbox environment to solve many of the downfalls of BOINC; this however also provides the basis for an ad hoc cloud computing platform to be developed. We detail the challenges of transforming V-BOINC into an ad hoc cloud and outline the transformational process and integrated extensions. These include a BOINC job submission system, cloud job and virtual machine restoration schedulers and a periodic P2P checkpoint distribution component. Furthermore, as current monitoring tools are unable to cope with the dynamic nature of ad hoc clouds, a dynamic infrastructure monitoring and management tool called the Cloudlet Control Monitoring System is developed and presented. We evaluate each of our individual contributions as well as the reliability, performance and overheads associated with an ad hoc cloud deployed on a realistically simulated unreliable infrastructure. We conclude that the ad hoc cloud is not only a feasible concept but also a viable computational alternative that offers high levels of reliability and can at least offer reasonable performance, which at times may exceed the performance of a commercial cloud infrastructure

Routing Protocols Evaluation Review in Simple and Cloud Environment

In the field of information technology there are many computer jargons like cloud computing Ad-hoc, Software Define Network (SDN), network function virtualization (NFV) , and virtual machine (VM), etc. This review paper is basically a blend of brief study and review of many routing protocols used for Mobile ad hoc Networks (MANET) in the cloud as well as in simple network environment i.e. without cloud computing. This paper would also suggest the different challenges that are facing in cloud computing. The description of the different network simulators used in networking like NS2 tool, Opnet and Cisco packet tracer. The different metrics that are used in the networking are briefly explained. MANET is a group of wireless nodes that do not need centralized controlling entity as it rapidly moveschanges and forms networks to the nearest networking nodes

Directory-based incentive management services for ad-hoc mobile clouds

Mobile cloud computing is envisioned as a promising approach to augment the computational capabilities of mobile devices for emerging resource-intensive mobile applications. This augmentation is generally achieved through the capabilities of stationary resources in cloud data centers. However, these resources are mostly not free and sometimes not available. Mobile devices are becoming powerful day by day and can form a self-organizing mobile ad-hoc network of nearby devices and offer their resources as on-demand services to available nodes in the network. In the ad-hoc mobile cloud, devices can move after consuming or providing services to one another. During this process, the problem of incentives arises for a node to provide service to another device (or other devices) in the network, which ultimately decreases the motivation of the mobile device to form an ad-hoc mobile cloud. To solve this problem, we propose a directory-based architecture that keeps track of the retribution and reward valuations (in terms of energy saved and consumed) for devices even after they move from one ad-hoc environment to another. From simulation results, we infer that this framework increases the motivation for mobile devices to form a self-organizing proximate mobile cloud network and to share their resources in the network