A Framework for Cooperative Resource Management in Mobile Cloud Computing

Abstract

Quantum cloud computing (QCC) offers a promising approach to efficiently provide quantum computing resources, such as quantum computers, to perform resource-intensive tasks. Like traditional cloud computing platforms, QCC providers can offer both reservation and on-demand plans for quantum resource provisioning to satisfy users' requirements. However, the fluctuations in user demand and quantum circuit requirements are challenging for efficient resource provisioning. Furthermore, in distributed QCC, entanglement routing is a critical component of quantum networks that enables remote entanglement communication between users and QCC providers. Further, maintaining entanglement fidelity in quantum networks is challenging due to the requirement for high-quality entanglement routing, especially when accessing the providers over long distances. To address these challenges, we propose a resource allocation model to provision quantum computing and networking resources.In particular, entangled pairs, entanglement routing, qubit resources, and circuits' waiting time are jointly optimized to achieve minimum total costs. We formulate the proposed model based on the two-stage stochastic programming, which takes into account the uncertainties of fidelity and qubit requirements, and quantum circuits' waiting time. Furthermore, we apply the Benders decomposition algorithm to divide the proposed model into sub-models to be solved simultaneously. Experimental results demonstrate that our model can achieve the optimal total costs and reduce total costs at most 49.43% in comparison to the baseline model.

A Novel Approach of Reducing Energy Consumption by Utilizing Enthalpy in Mobile Cloud Computing

“…Here, the enthalpy was computed using the above-computed task measures. A system's enthalpy is designated as: (12) , (13) where H is the enthalpy of the system, ) ( q v r R is the reputation, t D is the delay time, L T is the task loss, U is the utilization, and prob T is the transmission probability. The suggested CSO algorithm uses such enthalpy values in maximization.…”

Biometric Identification and Authentication Providence using Fingerprint for Cloud Data Access

“…In figure [10], the mobile cloud service is provided through optimal resource management tool that maximizes the benefit of the mobile cloud service provider which proposed one of the outlines for the resource allocation to the mobile application, formulate the optimal models though, this maximizes the service provider in the mobile application.…”

“…In figure [10] represents the number of authentication techniques. The core designers Weirich and Sasse figure [5] reports the result of the series of user interviews about password behavior and is also based on phrase arguments to persuade the users who is introduced to adopt a better security behavior.…”

A Coalitional Game Mechanism of Tasks Execution Considering Trust Relationship among CRPs in Clouds

“…[10] presents a game model of cloud resource allocation based on QoS requirements, in which QoS of resource allocation is formulized as a cooperative game problem and the Pareto optimality solution satisfying QoS demand is proved to exist. To maximize the benefit of the mobile cloud service providers, [11] proposes a framework for resource allocation to the mobile applications, and revenue management and cooperation formation among service providers. For resource allocation to the mobile applications, she formulates and solves optimization models to obtain the optimal number of application instances that can be supported to maximize the revenue of the service providers while meeting the resource requirements of the mobile applications.…”

“…Also, the provider can optimize the decision on the amount of resources to contribute to the resource pool. Similar as [11], [12] also considers a mobile cloud computing environment in which the service providers can form a coalition to create a resource pool to support the mobile application. For a given coalition of service providers, the revenue obtained from utilizing the resource pool has to be shared among the service providers.…”