The Farmer model is a basic model of the farming methodology that loads the component defined in the aspect-object from the PICR into the distributed object after analyzing the real world entity in various aspects and...
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ISBN:
(纸本)0780351460
The Farmer model is a basic model of the farming methodology that loads the component defined in the aspect-object from the PICR into the distributed object after analyzing the real world entity in various aspects and defining the aspect elements as the Aspect-Object. This model is a model that formalizes the concept of downloading the componentware from the PICR to the distributed entity node type that describes the abstract object, the aspect node type that describes this object, the link type that shows the relativity between the entity and the aspect, and the attribute type that shows the characteristics of the entity. In this paper, the platform independent TMN agents are designed by the diagram of the Farmer model.
This paper generalizes the load scaling techniques proposed in (Kuo and Mok, 1991) for fixed-priority real-time applications. A framework is proposed to adjust the system workload by relating the criticality and flexi...
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ISBN:
(纸本)081869209X
This paper generalizes the load scaling techniques proposed in (Kuo and Mok, 1991) for fixed-priority real-time applications. A framework is proposed to adjust the system workload by relating the criticality and flexibility of a process to the resource allocation problem. A load adjustment procedure based on the approximation algorithm (Ni et al., 1997) is proposed to maximize the system profit in an on-line fashion. When the list of allowable configurations is implicitly given by scalable periodic processes, the corresponding load filtering problem is shown to be NP-complete. We also prove the upper bound of the system profit and provide a mechanism to balance the schedulability and the maximum profit of the system.
Electrophoretic analyses of acid extracts from mature sperm of newt, Cynops pyrrhogaster, on acid/urea/Triton X-100 polyacrylamide gel showed the exclusive occurrence of sperm-specific nuclear basic proteins (SBPs), w...
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We study the resource allocation problem and call admission problem for multicast applications in ATM networks. Two approaches are proposed for dividing the end-to-end QoS requirement into the local QoS constraint on ...
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ISBN:
(纸本)0818680733
We study the resource allocation problem and call admission problem for multicast applications in ATM networks. Two approaches are proposed for dividing the end-to-end QoS requirement into the local QoS constraint on each link of the multicast tree. The first approach is to apply the greedy method to divide the end-to-end QoS based on the residual capacity on the links. In the second approach we show how to use a genetic algorithm to solve the QoS allocation problem. The effective bandwidth concept is used for estimating the amount of bandwidth required to guarantee a certain level of QoS on each link. If the end-to-end QoS cannot be guaranteed due to insufficient network resources, the multicast request is rejected (as a result of call admission). A new performance metric, fractional reward loss, is adopted for evaluating the solutions generated by the proposed two approaches. Our experiment results show that our approaches yield lower fractional reward loss and utilize the network resources more efficiently.
In order to generate local addresses for an array section A(l:h:s) with block-cyclic distribution, an efficient compiling method is required. In this paper, two local address generation methods for the block-cyclic di...
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This paper presents a hybrid checkpointing protocol-an asynchronous checkpointing protocol using a message sending/receiving state change for reducing the overhead of failure-free operation combined with a selective s...
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ISBN:
(纸本)0818682272
This paper presents a hybrid checkpointing protocol-an asynchronous checkpointing protocol using a message sending/receiving state change for reducing the overhead of failure-free operation combined with a selective sender-based message logging protocol for reducing the cascade rollback of asynchronous checkpointing protocol. The selective sender-based message logging protocol records only potential orphan messages when taking a checkpoint. And this paper presents a message dependency tree recording the inter-process message sending/receiving information on a volatile storage for reducing the search time of inter-process information during the failure recovery.
In order to generate local addresses for an array section A(l:h:s) with block-cyclic distribution, an efficient compiling method is required. In this paper, two local address generation methods for the block-cyclic di...
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ISBN:
(纸本)0780342291
In order to generate local addresses for an array section A(l:h:s) with block-cyclic distribution, an efficient compiling method is required. In this paper, two local address generation methods for the block-cyclic distribution are presented. One is a simple local address generation method that is modified from the virtual-block scheme. The other is a linear-time /spl Delta/M table construction method. The array elements of A(l:h:s) to be accessed at run-time build up a family of lines. By using the equation of the lines, a /spl Delta/M table can be generated in O(k) time. Experimental results show that a simple local address generation method has poor performance but a linear-time /spl Delta/M table generation method is faster than other algorithms in /spl Delta/M table generation time and access time for 10,000 array elements.
The recurrent canonical piecewise linear (RCPL) network is applied to nonlinear blind equalization by generalizing Donoho's minimum entropy deconvolution approach. We first study the approximation ability of the c...
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The recurrent canonical piecewise linear (RCPL) network is applied to nonlinear blind equalization by generalizing Donoho's minimum entropy deconvolution approach. We first study the approximation ability of the canonical piecewise linear (CPL) network and the CPL based distribution learning for blind equalization. We then generalize these conclusions to the RCPL network. We show that nonlinear blind equalization can be achieved by matching the distribution of the channel input with that of the RCPL equalizer output. A new blind equalizer structure is constructed by using RCPL network and decision feedback. We discuss application of various cost functions to RCPL based equalization and present experimental results that demonstrate the successful application of RCPL network to blind equalization.
This paper discusses a rough set approach for evaluating solutions of scheduling problems. Algorithms for solving scheduling problems are planners and the scheduling problems are modelled as constraint satisfaction pr...
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This paper discusses a rough set approach for evaluating solutions of scheduling problems. Algorithms for solving scheduling problems are planners and the scheduling problems are modelled as constraint satisfaction problems. Conventional approach for the analysis of algorithms often focuses on the time and representational complexities, and assumes an identical cost on all operations. The proposed rough set approach augments conventional approaches for the analysis of algorithms in two ways: 1) it permits the consideration of different costs arising from different operations; and 2) it allows one to define a new utility for a complexity analysis.
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