The Experts below are selected from a list of 1046622 Experts worldwide ranked by ideXlab platform
Hailin Zhang - One of the best experts on this subject based on the ideXlab platform.
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Joint Spectrum and Power Efficiencies Optimization for Statistical QoS Provisionings Over SISO/MIMO Wireless Networks
IEEE Journal on Selected Areas in Communications, 2013Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:Spectrum and power efficiencies are both crucial to design efficient wireless networks. In past two decades, spectrum and power efficiencies of wireless networks are optimized separately. However, to increase the spectrum efficiency while reducing the energy consumption, it is necessary to jointly optimize spectrum and power efficiencies of wireless networks. Supporting the statistical quality of service (QoS) Provisionings for real-time traffic is crucial, but imposes new challenges, in the next generation wireless networks. In this paper, we propose an efficient framework to jointly optimize effective spectrum efficiency (ESE) and effective power efficiency (EPE) under different statistical QoS guarantees constraints to support the real-time traffic over wireless networks. In particular, we derive the relationship between ESE and EPE under statistical QoS Provisioning constraint. Based on this relationship, we obtain the mutually beneficial (MB) region and the contention-based (CB) region. In the MB region, we propose a novel strategy to achieve the joint effective spectrum and power efficiencies optimization using the average transmit power control. In the CB region, we propose the wireless-relay-based strategy to jointly optimize the effective capacity and power efficiency. In both MB and CB regions, we develop the dynamic transmit-power control strategy and the MIMO-based strategy to jointly maximize the effective spectrum and power efficiencies. Also conducted is a set of numerical evaluations showing that our proposed strategies can achieve superior joint spectrum and power efficiencies optimization for the diverse statistical QoS Provisionings.
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GLOBECOM - Joint spectrum and power efficiencies optimization for statistical QoS Provisionings in wireless networks
2012 IEEE Global Communications Conference (GLOBECOM), 2012Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:Spectrum and power efficiencies are both crucial to design efficient wireless networks. In past two decades, spectrum and power efficiencies of wireless networks are optimized separately. However, to increase the spectrum efficiency and reduce the energy consumption, it is necessary to jointly optimize spectrum and power efficiencies of wireless networks. In this paper, we propose an efficient framework to model the statistical delay quality of service (QoS) guarantees, in terms of QoS exponent, effective spectrum efficiency (ESE), and effective power efficiency (EPE), for joint spectrum and power efficiencies optimization to transmit real-time traffics over wireless networks. In particular, we derive the relationship between ESE and EPE under statistical QoS Provisioning constraint. Based on the relationship, we obtain the mutually beneficial region and contention-based region. We also analyze the global maximum EPE and optimal average transmit power under various statistical QoS guarantees. Then, we develop a novel strategy to achieve the joint spectrum and power efficiencies optimization. Also conducted is a set of numerical evaluations showing that our proposed strategy can achieve superior joint spectrum and power efficiencies optimization for various statistical QoS Provisionings.
Wenchi Cheng - One of the best experts on this subject based on the ideXlab platform.
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Joint Spectrum and Power Efficiencies Optimization for Statistical QoS Provisionings Over SISO/MIMO Wireless Networks
IEEE Journal on Selected Areas in Communications, 2013Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:Spectrum and power efficiencies are both crucial to design efficient wireless networks. In past two decades, spectrum and power efficiencies of wireless networks are optimized separately. However, to increase the spectrum efficiency while reducing the energy consumption, it is necessary to jointly optimize spectrum and power efficiencies of wireless networks. Supporting the statistical quality of service (QoS) Provisionings for real-time traffic is crucial, but imposes new challenges, in the next generation wireless networks. In this paper, we propose an efficient framework to jointly optimize effective spectrum efficiency (ESE) and effective power efficiency (EPE) under different statistical QoS guarantees constraints to support the real-time traffic over wireless networks. In particular, we derive the relationship between ESE and EPE under statistical QoS Provisioning constraint. Based on this relationship, we obtain the mutually beneficial (MB) region and the contention-based (CB) region. In the MB region, we propose a novel strategy to achieve the joint effective spectrum and power efficiencies optimization using the average transmit power control. In the CB region, we propose the wireless-relay-based strategy to jointly optimize the effective capacity and power efficiency. In both MB and CB regions, we develop the dynamic transmit-power control strategy and the MIMO-based strategy to jointly maximize the effective spectrum and power efficiencies. Also conducted is a set of numerical evaluations showing that our proposed strategies can achieve superior joint spectrum and power efficiencies optimization for the diverse statistical QoS Provisionings.
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GLOBECOM - Joint spectrum and power efficiencies optimization for statistical QoS Provisionings in wireless networks
2012 IEEE Global Communications Conference (GLOBECOM), 2012Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:Spectrum and power efficiencies are both crucial to design efficient wireless networks. In past two decades, spectrum and power efficiencies of wireless networks are optimized separately. However, to increase the spectrum efficiency and reduce the energy consumption, it is necessary to jointly optimize spectrum and power efficiencies of wireless networks. In this paper, we propose an efficient framework to model the statistical delay quality of service (QoS) guarantees, in terms of QoS exponent, effective spectrum efficiency (ESE), and effective power efficiency (EPE), for joint spectrum and power efficiencies optimization to transmit real-time traffics over wireless networks. In particular, we derive the relationship between ESE and EPE under statistical QoS Provisioning constraint. Based on the relationship, we obtain the mutually beneficial region and contention-based region. We also analyze the global maximum EPE and optimal average transmit power under various statistical QoS guarantees. Then, we develop a novel strategy to achieve the joint spectrum and power efficiencies optimization. Also conducted is a set of numerical evaluations showing that our proposed strategy can achieve superior joint spectrum and power efficiencies optimization for various statistical QoS Provisionings.
Xi Zhang - One of the best experts on this subject based on the ideXlab platform.
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Joint Spectrum and Power Efficiencies Optimization for Statistical QoS Provisionings Over SISO/MIMO Wireless Networks
IEEE Journal on Selected Areas in Communications, 2013Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:Spectrum and power efficiencies are both crucial to design efficient wireless networks. In past two decades, spectrum and power efficiencies of wireless networks are optimized separately. However, to increase the spectrum efficiency while reducing the energy consumption, it is necessary to jointly optimize spectrum and power efficiencies of wireless networks. Supporting the statistical quality of service (QoS) Provisionings for real-time traffic is crucial, but imposes new challenges, in the next generation wireless networks. In this paper, we propose an efficient framework to jointly optimize effective spectrum efficiency (ESE) and effective power efficiency (EPE) under different statistical QoS guarantees constraints to support the real-time traffic over wireless networks. In particular, we derive the relationship between ESE and EPE under statistical QoS Provisioning constraint. Based on this relationship, we obtain the mutually beneficial (MB) region and the contention-based (CB) region. In the MB region, we propose a novel strategy to achieve the joint effective spectrum and power efficiencies optimization using the average transmit power control. In the CB region, we propose the wireless-relay-based strategy to jointly optimize the effective capacity and power efficiency. In both MB and CB regions, we develop the dynamic transmit-power control strategy and the MIMO-based strategy to jointly maximize the effective spectrum and power efficiencies. Also conducted is a set of numerical evaluations showing that our proposed strategies can achieve superior joint spectrum and power efficiencies optimization for the diverse statistical QoS Provisionings.
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GLOBECOM - Joint spectrum and power efficiencies optimization for statistical QoS Provisionings in wireless networks
2012 IEEE Global Communications Conference (GLOBECOM), 2012Co-Authors: Wenchi Cheng, Xi Zhang, Hailin ZhangAbstract:Spectrum and power efficiencies are both crucial to design efficient wireless networks. In past two decades, spectrum and power efficiencies of wireless networks are optimized separately. However, to increase the spectrum efficiency and reduce the energy consumption, it is necessary to jointly optimize spectrum and power efficiencies of wireless networks. In this paper, we propose an efficient framework to model the statistical delay quality of service (QoS) guarantees, in terms of QoS exponent, effective spectrum efficiency (ESE), and effective power efficiency (EPE), for joint spectrum and power efficiencies optimization to transmit real-time traffics over wireless networks. In particular, we derive the relationship between ESE and EPE under statistical QoS Provisioning constraint. Based on the relationship, we obtain the mutually beneficial region and contention-based region. We also analyze the global maximum EPE and optimal average transmit power under various statistical QoS guarantees. Then, we develop a novel strategy to achieve the joint spectrum and power efficiencies optimization. Also conducted is a set of numerical evaluations showing that our proposed strategy can achieve superior joint spectrum and power efficiencies optimization for various statistical QoS Provisionings.
Biswanath Mukherjee - One of the best experts on this subject based on the ideXlab platform.
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On Hybrid IR and AR Service Provisioning in Elastic Optical Networks
Journal of Lightwave Technology, 2015Co-Authors: Wei Lu, Biswanath MukherjeeAbstract:This paper investigates hybrid immediate reservation (IR) and advance reservation (AR) service Provisioning in elastic optical networks, with the objective to minimize IR/AR service conflicts. We design algorithms to coordinate service Provisioning of IR and AR requests. Specifically, both proactive and reactive IR Provisioning schemes are considered to minimize IR service failures. Our AR scheduling algorithm can coordinate AR service Provisioning with various IR traffic patterns, balance spectrum utilization in both time and spectral domains, and reduce IR/AR service conflicts. Simulation results verify that our proposed IR + AR schemes can significantly reduce IR service failures as well as routing and spectrum allocation reconfigurations in IR service Provisioning. Moreover, the results indicate that the proposed IR + AR schemes can achieve more performance gain from AR flexibility when compared with two existing benchmarks.
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energy efficient dynamic Provisioning for spectrum elastic optical networks
International Conference on Communications, 2012Co-Authors: Shuqiang Zhang, Biswanath MukherjeeAbstract:Spectrum elastic optical networks support flexible central frequency and spectrum assignment for lightpaths. In this paper, we investigate energy-efficient dynamic Provisioning for such networks. When Provisioning a connection, the routing problems in both electrical layer (routing over multiple lightpaths) and optical layer (routing over multiple fibers) have to be addressed. Also, the control plane has to determine the optical-layer spectrum assignment considering the spectrum-continuity constraint as well as the bandwidth variability of transponders. We adopt a novel auxiliary graph based on which a new dynamic Provisioning policy called Time-Aware Provisioning with Bandwidth Reservation (TAP-BR) is proposed. TAP-BR incorporates two important factors to facilitate energy-efficient Provisioning: time awareness and bandwidth reservation. We compare TAP-BR with previously-proposed dynamic Provisioning policies and show that TAP-BR can save significant amount of energy and make efficient use of spectrum resources.
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A generalized protection framework using a new link-State availability model for reliable optical networks
Journal of Lightwave Technology, 2004Co-Authors: Yurong Huang, Biswanath MukherjeeAbstract:This paper investigates a generalized protection framework for availability-guaranteed connection Provisioning in an optical wavelength-division-multiplexed (WDM) network. Reliability is a crucial concern in high-speed optical networks. A service level agreement (SLA), which mandates high service availability even in the face of network failures must be met in Provisioning a reliable connection. In this study, a new link-state-modeling mechanism is developed to form a dynamic link-state parameter called link and resource availability (LRA), which represents physical-layer availability and resource status for an optical link. Such up-to-date link-state information can be used by a standard link-state routing protocol to efficiently provision reliable connections. Based on the link-state availability model, LRA, a connection-Provisioning algorithm is then proposed which can guarantee customers' availability requirements. A new generalized protection model is developed through dynamic LRA-based Provisioning. Numerical results demonstrate the performance of the proposed Provisioning approach to be promising.
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a new Provisioning framework to provide availability guaranteed service in wdm mesh networks
International Conference on Communications, 2003Co-Authors: Jing Zhang, Hui Zang, Biswanath MukherjeeAbstract:In this paper, we present a connection-Provisioning framework to satisfy customers' availability requirements using appropriate protection schemes. The framework contains two pats: (a) WDM mesh network service availability analysis; and (b) a connection-Provisioning approach using the analysis. We present the availability analysis for connections with different protection schemes (i.e., unprotected, dedicated, or shared protected) and propose an integer linear program (LIP) based Provisioning approach for static traffic. We verify the theoretical availability analysis through simulations, and demonstrate the effectiveness s of our Provisioning approach using numerical examples.
Inderveer Chana - One of the best experts on this subject based on the ideXlab platform.
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Cloud resource Provisioning: survey, status and future research directions
Knowledge and Information Systems, 2016Co-Authors: Sukhpal Singh, Inderveer ChanaAbstract:Cloud resource Provisioning is a challenging job that may be compromised due to unavailability of the expected resources. Quality of Service (QoS) requirements of workloads derives the Provisioning of appropriate resources to cloud workloads. Discovery of best workload–resource pair based on application requirements of cloud users is an optimization problem. Acceptable QoS cannot be provided to the cloud users until Provisioning of resources is offered as a crucial ability. QoS parameters-based resource Provisioning technique is therefore required for efficient Provisioning of resources. This research depicts a broad methodical literature analysis of cloud resource Provisioning in general and cloud resource identification in specific. The existing research is categorized generally into various groups in the area of cloud resource Provisioning. In this paper, a methodical analysis of resource Provisioning in cloud computing is presented, in which resource management, resource Provisioning, resource Provisioning evolution, different types of resource Provisioning mechanisms and their comparisons, benefits and open issues are described. This research work also highlights the previous research, current status and future directions of resource Provisioning and management in cloud computing.
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QoS based resource Provisioning and scheduling in grids
The Journal of Supercomputing, 2013Co-Authors: Rajni Aron, Inderveer ChanaAbstract:As Grid computing has emerged as a technology for providing the computational resources to industries and scientific projects, new requirements arise. Nowadays, resource management has become an important research area in the Grid computing environment. To provision the appropriate resource to a corresponding application is a tedious task. So, it is important to check and verify the Provisioning of the resource before the application's execution. In this paper, a resource Provisioning framework has been presented that offers a resource Provisioning policy, which caters to provisioned resource allocation and resource scheduling. The framework has been formally specified and verified. Formal specification and verification of the framework helps in predicting possible errors before the scheduling process itself, and thus results in efficient resource Provisioning and scheduling of Grid resources.
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formal qos policy based grid resource Provisioning framework
Grid Computing, 2012Co-Authors: Rajni Aron, Inderveer ChanaAbstract:Grid resource Provisioning is a complex task that is often compromised due to non-availability of the desired resources. The heterogeneous and dynamic nature of the Grid resources depends on the Quality of Service (QoS) based resource Provisioning for allocation of appropriate resources to Grid applications. Until resource Provisioning is considered a fundamental capability, predictable QoS cannot be delivered to the Grid consumers. A resource Provisioning policy based on QoS parameters is required for efficient Grid resource Provisioning. In this paper a resource Provisioning framework has been proposed. This framework offers resource Provisioning policy that caters to provisioned resource allocation and resource scheduling. The policy rules have been specified in XML schema. The policy has been validated by Z Formal specification language and implementation has been demonstrated through a case study. The experimental results demonstrate that QoS based provisioned approach is effective in minimizing cost and submission burst time of applications in comparison to the existing approaches.
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IC3 - Resource Provisioning for Grid: A Policy Perspective
Communications in Computer and Information Science, 2011Co-Authors: Rajni Aron, Inderveer ChanaAbstract:To enhance the efficiency of grid resource management systems, resource Provisioning is required. For efficient resource Provisioning, a policy based resource Provisioning framework needs to developed. This paper presents Resource Provisioning framework and discusses the resource policy for better resource utilization and customer satisfaction.
