A global resource positioning system for ubiquitous clouds

Khalifa, Ahmed; Eltoweissy, Mohamed

doi:10.1109/innovations.2012.6207720

Cited by 7 publications

(12 citation statements)

References 8 publications

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“…2) Providing a resource forecasting mechanism based on a distributed spatiotemporal calendaring mechanism [6][7][8][9]. This mechanism provides a HMAC with the future spatio-temporal resource availability.…”

Section: )mentioning

confidence: 99%

“…These updated data are stored in a group spatiotemporal resource calendar. GRCS and PRCS are the two primary types of services forming a global resource positioning system (GRPS) [7], for dynamic real-time resource harvesting, scheduling, tracking and forecasting. GRCS comprises four types of modules:The Group Calendar Manager (GCM) module, the Synchronizer, the Prediction Service (PS), and the Trust Management Services.…”

Section: ) Group Resource Calendaring Service (Grcs)mentioning

confidence: 99%

“…The results of resource forecasting enhances the HMAC resilience to failure by early Discovery of all different failures that might be encountered at different communications, resource availability, or reputability levels. For more details about the GRPS and its GRCS and PRCS services, please refer to [7].…”

Section: ) Group Resource Calendaring Service (Grcs)mentioning

confidence: 99%

“…Recent literature presented two types of MCC architectures:1) an MCC offering accesses and service delivery to users through their mobile devices where all computations, data handling, and resource management are performed in the static cloud for the sake of offloading the computational workload from the mobile nodes to the cloud [1][2][3]; and 2) utilizing the idle resources of mobile devices and enabling them to work collaboratively as cloud resource providers to provide a mobile cloud [4][5]. In this paper, and in a series of our papers [6][7][8][9], we adopt and extend the latter definition of MCC as cloud computing, through the cooperation and virtualization,lack of resilience. On the other hand, current resource management and virtualization technologies fall short for building a virtualization layer that can autonomously adapt to the real-time dynamic variation, mobility, and fractioning of such infrastructure [4][5].…”

Section: Introductionmentioning

confidence: 99%

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Resilient Hybrid Mobile Ad-hoc Cloud Over Collaborating Heterogeneous Nodes

Khalifa

Azab

Eltoweissy

2014

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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Abstract-The emergence of Mobile Ad-hoc Clouds (MACs) promises more effective and collaborative elastic resource-infinite computing.However, the highly dynamic, mobile, heterogeneous, fractionized, and scattered nature of computing resources coupled with the isolated non-cooperative nature of current resource management systems make it impossible for current virtualization and resource management techniques to guarantee resilient cloud service delivery. In this paper, we present PlanetCloud, our MAC management platform with an intrinsic support for resilient, highly mobile, cooperative, and dynamically-configurable MACs. We use PlanetCloud for the construction and management of resilient hybrid MACs (HMACs) over mobile and stationary computing resources. PlanetCloud comprises a trustworthy fine-grained virtualization layer and a task management layer. PlanetCloud employs the concepts of application virtualization and fractionation using intrinsically-resilient and aware micro virtual machines, or Cells in our terminology, to encapsulate executable applicationfractions. Such employment isolates the running application from the underlying physical resource enabling seamless execution over heterogeneous resources, lightweight load migration, and low cost of failure. Integral to PlanetCloud is resource forecasting and selection mechanism, which provide a MAC with future appropriate resource availability in space and time. Further, these features enable a large set of mobile, heterogeneous, and scattered resources to collaborate through PlanetCloud smart management platforms that seamlessly consolidates such resources into a resilient HMAC. Using analysis and simulation, we evaluate a PlanetCloud-managed resilient HMAC. 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. Additionally, results showed that our approach to minimizing the cost of failure and facilitating easy load migration elevates the resilience of the HMAC to a great extent.

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Section: )mentioning

confidence: 99%

Section: ) Group Resource Calendaring Service (Grcs)mentioning

confidence: 99%

Section: ) Group Resource Calendaring Service (Grcs)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Resilient Hybrid Mobile Ad-hoc Cloud Over Collaborating Heterogeneous Nodes

Khalifa

Azab

Eltoweissy

2014

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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“…A new architecture was introduced that forms ad-hoc mobile clouds [1,2]. This architecture is based on a spatio-temporal calendering mechanism that automatically adjusts resources to each cloud.…”

Section: Introductionmentioning

confidence: 99%

A Reputation Trust Management System for Ad-Hoc Mobile Clouds

Hammam

Senbel

2014

Bio-Inspiring Cyber Security and Cloud Services: Trends and Innovations

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Most current cloud systems involves a data center model, in which clusters of machines dedicated to run cloud infrastructure software. Ad-hoc cloud model, in which infrastructure software distributed over resources harvested from machines already existed and used for other purposes, are gaining popularity. And as a try to utilize mobile devices power an ad-hoc mobile clouds model introduced. In this chapter, a trust management system (TMC) for mobile ad-hoc clouds is proposed. This system considers availability, neighbors? evaluation and response quality and task completeness in calculating the trust value for a node.In the last few years mobile devices in addition of its spread and its main advantage which is the mobility it became more powerful in terms of processing power and memory, which encourage researchers to try to utilize mobile devices in many fields.One of the research areas was Mobile Ad-hoc Network (MANET) which is used mainly in military operation. It made up of mobile devices shares specific tasks. Mobile devices connected through a network which continuously changing its topography with no fixed data routes from one node to another because of the node is moving from one position to another.As a parallel research area Ad-Hoc clouds was emerged, Ad-Hoc Clouds provides a new model of cloud computing. In normal cloud computing provisioning involves data center model, in which clusters of machines are dedicated to running cloud infrastructure software. In Ad-hoc cloud model infrastructure software is distributed over resources harvested from machines already existed and used for other purposes.

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