sah tyagi sumarga kumar (17 risultati)

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Taschenbuch. Condizione: Neu. Power Efficient Thermal Aware Task Allocation | in Multi-Core Systems with Real-Time Constraints | Sumarga Kumar Sah Tyagi (u. a.) | Taschenbuch | 88 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9783659886409 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Taschenbuch. Condizione: Neu. Thermal-aware Energy-efficient Dynamic BBU Pooling in CRAN | Sumarga Kumar Sah Tyagi (u. a.) | Taschenbuch | 148 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139445639 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as ¿RRH- requests¿. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system¿s resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP¿s op- erating temperature and imposes computational power (CP) efficiency problem.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work presents a thorough study of the power-efficient task allocation problem in a heterogeneous multi-core processor for thermally constrained tasks with real-time constraints. A thermally constrained task is one which, if executed on a core at the maximum possible speed, results in the temperature of that core exceeding a given safe temperature limit. Our problem formulation is based on the well praised thermal model hotspot-4, leakage power and delay models with DVFS (Dynamic Voltage and Frequency Scaling). It accounts for the differences in power consumption of tasks and cores as well as the differences in the thermal characteristics of the functional blocks in the die. The model also considers various components of the package and the dependence of leakage power on the chip temperature. The solution to this problem is not so straight forward due to the fact that there is a nonlinear-circular dependency between the overall power dissipation and the temperature. It becomes further complicated with the consideration of real-time constraints of the task i.e. deadlines. The solution technique presented in this monograph consists of four interdependent steps. 88 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sah Tyagi Sumarga KumarSumarga Kumar Sah Tyagi received PhD. from Institute of Computing Technology, Chinese Academy of Sciences. Currently, he is with the School of Electronic and Information Engineering, Zhongyuan University of Tec.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as 'RRH- requests'. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system's resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP's op- erating temperature and imposes computational power (CP) efficiency problem. 148 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sah Tyagi Sumarga KumarSumarga Kumar Sah Tyagi received PhD. from Institute of Computing Technology, Chinese Academy of Sciences. Currently, he is with the School of Electronic and Information Engineering, Zhongyuan University of Tec.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work presents a thorough study of the power-efficient task allocation problem in a heterogeneous multi-core processor for thermally constrained tasks with real-time constraints. A thermally constrained task is one which, if executed on a core at the maximum possible speed, results in the temperature of that core exceeding a given safe temperature limit. Our problem formulation is based on the well praised thermal model hotspot-4, leakage power and delay models with DVFS (Dynamic Voltage and Frequency Scaling). It accounts for the differences in power consumption of tasks and cores as well as the differences in the thermal characteristics of the functional blocks in the die. The model also considers various components of the package and the dependence of leakage power on the chip temperature. The solution to this problem is not so straight forward due to the fact that there is a nonlinear-circular dependency between the overall power dissipation and the temperature. It becomes further complicated with the consideration of real-time constraints of the task i.e. deadlines. The solution technique presented in this monograph consists of four interdependent steps.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 88 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work presents a thorough study of the power-efficient task allocation problem in a heterogeneous multi-core processor for thermally constrained tasks with real-time constraints. A thermally constrained task is one which, if executed on a core at the maximum possible speed, results in the temperature of that core exceeding a given safe temperature limit. Our problem formulation is based on the well praised thermal model hotspot-4, leakage power and delay models with DVFS (Dynamic Voltage and Frequency Scaling). It accounts for the differences in power consumption of tasks and cores as well as the differences in the thermal characteristics of the functional blocks in the die. The model also considers various components of the package and the dependence of leakage power on the chip temperature. The solution to this problem is not so straight forward due to the fact that there is a nonlinear-circular dependency between the overall power dissipation and the temperature. It becomes further complicated with the consideration of real-time constraints of the task i.e. deadlines. The solution technique presented in this monograph consists of four interdependent steps.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as 'RRH- requests'. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system's resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP's op- erating temperature and imposes computational power (CP) efficiency problem.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as 'RRH- requests'. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system's resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP's op- erating temperature and imposes computational power (CP) efficiency problem.