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Systematic Review:load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms

Intelligent Automation & Soft Computing 2024年第3期39卷 437-476页

作者： Darakhshan Syed Ghulam Muhammad Safdar Rizvi Department of Computer Science Bahria UniversityKarachi CampusKarachiPakistan

Cloud Computing has the ability to provide on-demand access to a shared resource *** has completely changed the way businesses are managed,implement applications,and provide *** rise in popularity has led to a significant increase in the user demand for ***,in cloud environments efficient load balancing is essential to ensure optimal performance and resource *** systematic review targets a detailed description of load balancing techniques including static and dynamic load balancing ***,metaheuristic-based dynamic load balancing algorithms are identified as the optimal solution in case of increased *** a cloud-based context,this paper describes load balancing measurements,including the benefits and drawbacks associated with the selected load balancing *** also summarizes the algorithms based on implementation,time complexity,adaptability,associated issue(s),and targeted QoS ***,the analysis evaluates the tools and instruments utilized in each investigated ***,comparative analysis among static,traditional dynamic and metaheuristic algorithms based on response time by using the CloudSim simulation tool is also ***,the key open problems and potential directions for the state-of-the-art metaheuristic-based approaches are also addressed.

关键词： Cloud computing load balancing metaheuristic algorithm dynamic algorithm load balancer QoS

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Verifiable Multi-Party Universal Blind Quantum Computing in Distributed Networks

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Chinese Journal of Electronics 2021年第4期30卷 712-718页

作者： SHAN Ruiting CHEN Xiubo XU Gang DOU Zhao LI Zongpeng MIAO Lihua YANG Yixian Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications School of Information Science and Technology North China University of Technology Huawei Technologies Co.Ltd School of Computer Science Wuhan University

Blind quantum computing(BQC) ensures that a classical client could delegate complex computing tasks to a remote quantum server safely. In order to detect the dishonest behavior of the participants, we present a verifiable multi-party universal BQC protocol in distributed networks. By using the stabilizer formalism, we propose an honesty check method to test the correctness of the graph states generated by the servers. The honesty of both the clients and the servers can be judged fairly with the help of the arbitrator. Moreover, a load balancer is introduced to control the possible breakdown of servers in the network. No-signaling principle ensures the unconditional security of the protocol. Through the use of universal resource states, our protocol can be applied in more multi-party verifiable universal BQC *** failure management and workload balancing of the protocol also provide a promising prospect for the future BQC network.

关键词： Blind quantum computing(BQC) Verifiability Failure management load balancer Distributed networks

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Multi-party blind quantum computation protocol with mutual authentication in network

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Science China(Information Sciences) 2021年第06期64卷 158-171页

作者： Rui-Ting SHAN Xiubo CHEN Kai-Guo YUAN Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and Telecommunications

Blind quantum computation(BQC) can ensure a client with limited quantum capability safely delegates computing tasks to a remote quantum server. In order to resist attacks from ignoring identity authentication in BQC protocols, it is necessary to guarantee the legality of both clients and servers in a multi-party BQC network. So we propose a multi-party BQC protocol involving three phases to distribute shared keys and authenticate identities. Firstly, by using the advantages of measurement device independent quantum key distribution(MDI-QKD), the registered client and the assigned server could share the initial key safely in registration phase. Secondly, with the help of semi-honest certificate authority(CA), mutual identity authentication phase realizes the two-way authentication from both sides through the shared key simultaneously. Thirdly, in the blind quantum computing phase, a registered client can complete his computing task by just measuring the qubits from the assigned server rather than preparing the qubits. Moreover,combined with first-in-first-out(FIFO) principle, clients' authentication and blind quantum computing can be processed in parallel. The protocol can also be applied in other multi-party BQC protocols with the universality of resource states. Compared with other BQC protocols, the reliability of the protocol with identity authentication is guaranteed, and the efficiency will be significantly reflected in real experiments.

关键词： blind quantum computation mutual identity authentication load balancer semi-trust CA quantum network

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Optimization of cloud load balancing using fitness function and duopoly theory

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International Journal of Intelligent Computing and Cybernetics 2021年第2期14卷 198-217页

作者： Resma K.S. Sharvani G.S. Ramasubbareddy Somula Computer Science and Engineering Research Center Affiliated to VTU BelagaviRV College of EngineeringBangaloreIndia Computer Science and Engineering RV College of EngineeringBangaloreIndiaand Information Technology VNRVJIETHyderabadIndia

Purpose-Current industrial scenario is largely dependent on cloud computing ***-demand services provided by cloud data centre are paid as per ***,it is very important to make use of the allocated resources to the *** resource utilization is highly dependent on the allocation of resources to the incoming *** allocation of requests is done with respect to the physical machines present in the *** allocating the tasks to these physical machines,it needs to be allocated in such a way that no physical machine is underutilized or over *** make sure of this,optimal load balancing is very ***/methodology/approach-The paper proposes an algorithm which makes use of the fitness functions and duopoly game theory to allocate the tasks to the physical machines which can handle the resource requirement of the incoming *** major focus of the proposed work is to optimize the load balancing in a *** optimization happens,none of the physical machine is neither overloaded nor under-utilized,hence resulting in efficient utilization of the ***-The performance of the proposed algorithm is compared with different existing load balancing algorithms such as round-robin load(RR)ant colony optimization(ACO),artificial bee colony(ABC)with respect to the selected parameters response time,virtual machine migrations,host shut down and energy *** the four parameters gave a positive result when the algorithm is ***/value-The contribution of this paper is towards the domain of cloud load *** paper is proposing a novel approach to optimize the cloud load balancing *** results obtained show that response time,virtual machine migrations,host shut down and energy consumption are reduced in comparison to few of the existing algorithms selected for the *** proposed algorithm based on the duopoly function and fitness function brings in an optimized performance

关键词： Cloud computing load balancer load balancing algorithms Duopoly game theory Fitness functions Response time Virtual machine migrations Host shut down Energy consumption

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