摘要 :
Bandwidth is an important parameter in communication field and there have been many estimation algorithms on the bandwidth occupation which gave support to some applications such as bandwidth allocation and resource management. Ye...
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Bandwidth is an important parameter in communication field and there have been many estimation algorithms on the bandwidth occupation which gave support to some applications such as bandwidth allocation and resource management. Yet, a parameter, bandwidth exhaustion time, which is so important for administrator to make adjustment in advance when the bandwidth occupation is fluctuating too much, is always neglected by those algorithms. In this article, a new prediction model on cell bandwidth occupation is proposed and corresponding theoretic prediction formula is derived, and further more, a fast dynamic prediction algorithm is introduced. Simulation result shows that the prediction result is precise.
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摘要 :
Bandwidth is an important parameter in communication field and there have been many estimation algorithms on the bandwidth occupation which gave support to some applications such as bandwidth allocation and resource management. Ye...
展开
Bandwidth is an important parameter in communication field and there have been many estimation algorithms on the bandwidth occupation which gave support to some applications such as bandwidth allocation and resource management. Yet, a parameter, bandwidth exhaustion time, which is so important for administrator to make adjustment in advance when the bandwidth occupation is fluctuating too much, is always neglected by those algorithms. In this article, a new prediction model on cell bandwidth occupation is proposed and corresponding theoretic prediction formula is derived, and further more, a fast dynamic prediction algorithm is introduced. Simulation result shows that the prediction result is precise.
收起
摘要 :
Bandwidth is an important parameter in communication field and there have been many estimation algorithms on the bandwidth occupation which gave support to some applications such as bandwidth allocation and resource management. Ye...
展开
Bandwidth is an important parameter in communication field and there have been many estimation algorithms on the bandwidth occupation which gave support to some applications such as bandwidth allocation and resource management. Yet, a parameter, bandwidth exhaustion time, which is so important for administrator to make adjustment in advance when the bandwidth occupation is fluctuating too much, is always neglected by those algorithms. In this article, a new prediction model on cell bandwidth occupation is proposed and corresponding theoretic prediction formula is derived, and further more, a fast dynamic prediction algorithm is introduced. Simulation result shows that the prediction result is precise.
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摘要 :
Data compression can be an effective method to achieve higher system performance and energy efficiency in modern dataintensive applications by exploiting redundancy and data similarity. Prior works have studied a variety of data c...
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Data compression can be an effective method to achieve higher system performance and energy efficiency in modern dataintensive applications by exploiting redundancy and data similarity. Prior works have studied a variety of data compression techniques to improve both capacity (e.g., of caches and main memory) and bandwidth utilization (e.g., of the on-chip and off-chip interconnects). In this paper, we make a new observation about the energy-efficiency of communication when compression is applied. While compression reduces the amount of transferred data, it leads to a substantial increase in the number of bit toggles (i.e., communication channel switchings from 0 to 1 or from 1 to 0). The increased toggle count increases the dynamic energy consumed by on-chip and off-chip buses due to more frequent charging and discharging of the wires. Our results show that the total bit toggle count can increase from 20% to 2.2x when compression is applied for some compression algorithms, averaged across different application suites. We characterize and demonstrate this new problem across 242 GPU applications and six different compression algorithms. To mitigate the problem, we propose two new toggle-aware compression techniques: Energy Control and Metadata Consolidation. These techniques greatly reduce the bit toggle count impact of the data compression algorithms we examine, while keeping most of their bandwidth reduction benefits.
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This paper proposes a dynamic allocation strategy for networked control system with two constraints. The first constraint confines the bandwidth of each control loop in a bounded interval, and the second one makes the overall band...
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This paper proposes a dynamic allocation strategy for networked control system with two constraints. The first constraint confines the bandwidth of each control loop in a bounded interval, and the second one makes the overall bandwidth allocation not beyond the network capacity. The scheme contains four steps. In the first step, the error of each control loop is estimated using the mean absolute error. In the second step, a desired bandwidth algorithm is designed by referring to the estimated error, which satisfies the first constraint. In the third step, dynamic weight is determined via quadratic mapping method. In the forth step, the ideal bandwidth allocation strategy is presented for ensuring the second constraint. Simulation results illustrate the effectiveness of the proposed allocation strategy.
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Available bandwidth which directly influences the quality of streaming media transmission is an important parameter in streaming media system, but the traditional bandwidth measurement mechanism does not solve the problem of bandw...
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Available bandwidth which directly influences the quality of streaming media transmission is an important parameter in streaming media system, but the traditional bandwidth measurement mechanism does not solve the problem of bandwidth prediction. This paper presents a bandwidth measurement and prediction scheme for streaming media transmission. The scheme predicts available bandwidth quickly and accurately by the prediction model which is based on normal distribution, and meanwhile has no influence on the transmission of streaming media.
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摘要 :
Available bandwidth which directly influences the quality of streaming media transmission is an important parameter in streaming media system, but the traditional bandwidth measurement mechanism does not solve the problem of bandw...
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Available bandwidth which directly influences the quality of streaming media transmission is an important parameter in streaming media system, but the traditional bandwidth measurement mechanism does not solve the problem of bandwidth prediction. This paper presents a bandwidth measurement and prediction scheme for streaming media transmission. The scheme predicts available bandwidth quickly and accurately by the prediction model which is based on normal distribution, and meanwhile has no influence on the transmission of streaming media.
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摘要 :
Bandwidth pricing is a major issue in the telecommunications sector. 'Under pricing' as well as 'over pricing' would adversely affect the growth of the sector as a whole. Different prices prevail in both supply-constrained and dem...
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Bandwidth pricing is a major issue in the telecommunications sector. 'Under pricing' as well as 'over pricing' would adversely affect the growth of the sector as a whole. Different prices prevail in both supply-constrained and demand-constrained bandwidth economies. However, the notion of a fair price from the point of view of users as well as providers may be applicable in both the economies. This would, in turn, help the regulators and the investors to judge the overall health of a bandwidth market. In this paper, we proposed a model of bandwidth pricing from the point of view of regulators, users, and providers. We validated this model for a major player in the bandwidth market of a developing country.
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摘要 :
Bandwidth pricing is a major issue in the telecommunications sector. 'Under pricing' as well as 'over pricing' would adversely affect the growth of the sector as a whole. Different prices prevail in both supply-constrained and dem...
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Bandwidth pricing is a major issue in the telecommunications sector. 'Under pricing' as well as 'over pricing' would adversely affect the growth of the sector as a whole. Different prices prevail in both supply-constrained and demand-constrained bandwidth economies. However, the notion of a fair price from the point of view of users as well as providers may be applicable in both the economies. This would, in turn, help the regulators and the investors to judge the overall health of a bandwidth market. In this paper, we proposed a model of bandwidth pricing from the point of view of regulators, users, and providers. We validated this model for a major player in the bandwidth market of a developing country.
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摘要 :
Bandwidth pricing is a major issue in the telecommunications sector. 'Under pricing' as well as 'over pricing' would adversely affect the growth of the sector as a whole. Different prices prevail in both supply-constrained and dem...
展开
Bandwidth pricing is a major issue in the telecommunications sector. 'Under pricing' as well as 'over pricing' would adversely affect the growth of the sector as a whole. Different prices prevail in both supply-constrained and demand-constrained bandwidth economies. However, the notion of a fair price from the point of view of users as well as providers may be applicable in both the economies. This would, in turn, help the regulators and the investors to judge the overall health of a bandwidth market. In this paper, we proposed a model of bandwidth pricing from the point of view of regulators, users, and providers. We validated this model for a major player in the bandwidth market of a developing country.
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