The Experts below are selected from a list of 4293 Experts worldwide ranked by ideXlab platform
Aruna Seneviratne - One of the best experts on this subject based on the ideXlab platform.
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Virtualized Application Function Chaining: Maximizing the Wearable System Lifetime.
arXiv: Networking and Internet Architecture, 2018Co-Authors: Harini Kolamunna, Kanchana Thilakarathna, Aruna SeneviratneAbstract:The number of smart devices wear and carry by users is growing rapidly which is driven by innovative new smart wearables and interesting service o erings. This has led to Applications that utilize multiple devices around the body to provide immersive environments such as mixed reality. These Applications rely on a number of di erent types of functions such as sensing, communication and various types of processing, that require considerable resources. Thus one of the major challenges in supporting of these Applications is dependent on the battery lifetime of the devices that provide the necessary functionality. The battery lifetime can be extended by either incorporating a battery with larger capacity and/or by utilizing the available resources e ciently. However, the increases in battery capacity are not keeping up with the demand and larger batteries add to both the weight and size of the device. Thus, the focus of this paper is to improve the battery e ciency through intelligent resources utilization. We show that, when the same resource is available on multiple devices that form part of the wearable system, and or is in close proximity, it is possible consider them as a resource pool and further utilize them intelligently to improve the system lifetime. Speci cally, we formulate the function allocation algorithm as a Mixed Integer Linear Programming (MILP) optimization problem and propose an e cient heuristic solution. The experimental data driven simulation results show that approximately 40-50% system battery life improvement can be achieved with proper function allocation and orchestration.
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Maximizing the Wearable Network Lifetime through Virtualized Application Function Chaining
2018 IEEE 43rd Conference on Local Computer Networks (LCN), 2018Co-Authors: Harini Kolamunna, Kanchana Thilakarathna, Aruna SeneviratneAbstract:The smart devices usage is growing rapidly driven by innovative new smart wearables and service offerings. This has led to Applications that utilize multiple devices around the body to provide immersive environments such as mixed reality that rely on a number of different types of functions and require considerable resources. Thus one of the major challenges in supporting these Applications is dependent on the battery lifetime of devices that provide the necessary functionality. The focus of this paper is to improve the battery efficiency through intelligent resources utilization. We show that, when the same resource is available on multiple devices that form part of the wearable system, it is possible to consider them as a resource pool and further utilize them intelligently to improve the system lifetime via function virtualization. We formulate the intelligent function allocation algorithm as a Mixed Integer Linear Programming (MILP) optimization problem and propose an efficient heuristic solution. Next, we demonstrate the orchestration of the Virtualized functions in order to achieve specific functionalities. The experimental data driven simulation results show that approximately 40-50% system battery life improvement can be achieved with proper function allocation and orchestration.
Ying Chen - One of the best experts on this subject based on the ideXlab platform.
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sla based dynamic Virtualized resources provisioning for shared cloud data centers
International Conference on Cloud Computing, 2011Co-Authors: Zhiliang Zhu, Haitao Yuan, Ying ChenAbstract:Cloud computing focuses on delivery of reliable, secure, sustainable, dynamic and scalable resources provisioning for hosting Virtualized Application services in shared cloud data centers. For an appropriate provisioning mechanism, we developed a novel cloud data center architecture based on virtualization mechanisms for multi-tier Applications, so as to reduce provisioning overheads. Meanwhile, we proposed a novel dynamic provisioning technique and employed a flexible hybrid queueing model to determine the Virtualized resources to provision to each tier of the Virtualized Application services. We further developed meta-heuristic solutions, which is according to different performance requirements of users from different levels. Simulation experiment results show that these proposed approaches can provide appropriate way to judiciously provision cloud data center resources, especially for improving the overall performance while effectively reducing the resource usage extra cost and maximizing the global profit of cloud infrastructure providers.
Harini Kolamunna - One of the best experts on this subject based on the ideXlab platform.
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Virtualized Application Function Chaining: Maximizing the Wearable System Lifetime.
arXiv: Networking and Internet Architecture, 2018Co-Authors: Harini Kolamunna, Kanchana Thilakarathna, Aruna SeneviratneAbstract:The number of smart devices wear and carry by users is growing rapidly which is driven by innovative new smart wearables and interesting service o erings. This has led to Applications that utilize multiple devices around the body to provide immersive environments such as mixed reality. These Applications rely on a number of di erent types of functions such as sensing, communication and various types of processing, that require considerable resources. Thus one of the major challenges in supporting of these Applications is dependent on the battery lifetime of the devices that provide the necessary functionality. The battery lifetime can be extended by either incorporating a battery with larger capacity and/or by utilizing the available resources e ciently. However, the increases in battery capacity are not keeping up with the demand and larger batteries add to both the weight and size of the device. Thus, the focus of this paper is to improve the battery e ciency through intelligent resources utilization. We show that, when the same resource is available on multiple devices that form part of the wearable system, and or is in close proximity, it is possible consider them as a resource pool and further utilize them intelligently to improve the system lifetime. Speci cally, we formulate the function allocation algorithm as a Mixed Integer Linear Programming (MILP) optimization problem and propose an e cient heuristic solution. The experimental data driven simulation results show that approximately 40-50% system battery life improvement can be achieved with proper function allocation and orchestration.
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Maximizing the Wearable Network Lifetime through Virtualized Application Function Chaining
2018 IEEE 43rd Conference on Local Computer Networks (LCN), 2018Co-Authors: Harini Kolamunna, Kanchana Thilakarathna, Aruna SeneviratneAbstract:The smart devices usage is growing rapidly driven by innovative new smart wearables and service offerings. This has led to Applications that utilize multiple devices around the body to provide immersive environments such as mixed reality that rely on a number of different types of functions and require considerable resources. Thus one of the major challenges in supporting these Applications is dependent on the battery lifetime of devices that provide the necessary functionality. The focus of this paper is to improve the battery efficiency through intelligent resources utilization. We show that, when the same resource is available on multiple devices that form part of the wearable system, it is possible to consider them as a resource pool and further utilize them intelligently to improve the system lifetime via function virtualization. We formulate the intelligent function allocation algorithm as a Mixed Integer Linear Programming (MILP) optimization problem and propose an efficient heuristic solution. Next, we demonstrate the orchestration of the Virtualized functions in order to achieve specific functionalities. The experimental data driven simulation results show that approximately 40-50% system battery life improvement can be achieved with proper function allocation and orchestration.
Kiyoshi Akama - One of the best experts on this subject based on the ideXlab platform.
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toward a genetic algorithm based flexible approach for the management of Virtualized Application environments in cloud platforms
International Conference on Computer Communications and Networks, 2012Co-Authors: Omar Abdulrahman, Masaharu Munetomo, Kiyoshi AkamaAbstract:Resource management in cloud platforms becomes an increasingly complex and daunting task surrounded by various challenges of stringent QoS requirements, service availability guaranteeing and escalating overhead of the infrastructure that resulted from operation costs and ecological impact. On the other hand, virtualization adds a greater flexibility to the resource managers in addressing such challenges. However, at the same time, it imposes a further challenge of added management complexity. Recently, we have proposed a resource management model for cloud platforms, which utilizes a new resource mapping formulation and relays on a hybrid virtualization framework in an attempt to realize a resource manager that intelligently adapts the available cloud resources to satisfy the conflicting objectives of the running Applications and underlying infrastructures' requirements. Moreover, we have proposed state of the art Binary-Real coded Genetic Algorithm (BRGA), which has been applied successfully to a wide spectrum of global and constrained optimization problems from the known benchmark suites. In this paper, we aim to proceed by proposing a mathematical model and a modified version of BRGA to validate our model. In addition, we aim to evaluate the feasibility, effectiveness and scalability of our approach through simulation experiments.
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multi level autonomic architecture for the management of Virtualized Application environments in cloud platforms
International Conference on Cloud Computing, 2011Co-Authors: Omar Abdulrahman, Masaharu Munetomo, Kiyoshi AkamaAbstract:resource management in cloud platforms becomes an increasingly complex and daunting task surrounded by various challenges of stringent QoS requirements, service availability guaranteeing and escalating overhead of the infrastructure that resulted from operation costs and ecological effects. Virtualization adds a greater flexibility to the resource manager in addressing such challenges. However, it imposes a further challenge of added management complexity. So, in this brief paper, we attempt to address still an open question of how to employ virtualization techniques effectively to realize a resource manager that intelligently adapts cloud platforms resource usage to satisfy the conflicting objectives of running Applications and underlying cloud infrastructures by proposing a novel multi-level architecture which relays on a hybrid virtualization framework. We describe its functional components and dataflow and highlight the next steps that we will adopt in order to realize it and evaluate its feasibility and effectiveness.
Omar Abdulrahman - One of the best experts on this subject based on the ideXlab platform.
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multi layered architecture for the management of Virtualized Application environments within inter cloud platforms
IEEE International Conference on Cloud Computing Technology and Science, 2013Co-Authors: Omar Abdulrahman, Kento AidaAbstract:Resource allocation is an active direction of research that is drawing interest within academic and technological circles. Resource allocation imposes numerous challenges. This is especially true for Inter-Clouds, a recent paradigm for horizontal expansion and integration of disparate and heterogeneous cloud platforms. In an attempt to realize an efficient resource management system, this work-in-progress paper proposes and describes a new multi-layered management framework to address the tasks of Virtualized resource control, dynamic resource provisioning, life-cycle management and resource exchange within Inter-Cloud environments.
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toward a genetic algorithm based flexible approach for the management of Virtualized Application environments in cloud platforms
International Conference on Computer Communications and Networks, 2012Co-Authors: Omar Abdulrahman, Masaharu Munetomo, Kiyoshi AkamaAbstract:Resource management in cloud platforms becomes an increasingly complex and daunting task surrounded by various challenges of stringent QoS requirements, service availability guaranteeing and escalating overhead of the infrastructure that resulted from operation costs and ecological impact. On the other hand, virtualization adds a greater flexibility to the resource managers in addressing such challenges. However, at the same time, it imposes a further challenge of added management complexity. Recently, we have proposed a resource management model for cloud platforms, which utilizes a new resource mapping formulation and relays on a hybrid virtualization framework in an attempt to realize a resource manager that intelligently adapts the available cloud resources to satisfy the conflicting objectives of the running Applications and underlying infrastructures' requirements. Moreover, we have proposed state of the art Binary-Real coded Genetic Algorithm (BRGA), which has been applied successfully to a wide spectrum of global and constrained optimization problems from the known benchmark suites. In this paper, we aim to proceed by proposing a mathematical model and a modified version of BRGA to validate our model. In addition, we aim to evaluate the feasibility, effectiveness and scalability of our approach through simulation experiments.
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multi level autonomic architecture for the management of Virtualized Application environments in cloud platforms
International Conference on Cloud Computing, 2011Co-Authors: Omar Abdulrahman, Masaharu Munetomo, Kiyoshi AkamaAbstract:resource management in cloud platforms becomes an increasingly complex and daunting task surrounded by various challenges of stringent QoS requirements, service availability guaranteeing and escalating overhead of the infrastructure that resulted from operation costs and ecological effects. Virtualization adds a greater flexibility to the resource manager in addressing such challenges. However, it imposes a further challenge of added management complexity. So, in this brief paper, we attempt to address still an open question of how to employ virtualization techniques effectively to realize a resource manager that intelligently adapts cloud platforms resource usage to satisfy the conflicting objectives of running Applications and underlying cloud infrastructures by proposing a novel multi-level architecture which relays on a hybrid virtualization framework. We describe its functional components and dataflow and highlight the next steps that we will adopt in order to realize it and evaluate its feasibility and effectiveness.
