We consider the problem of competitive on-liae scheduling in two processor real-timesystems. In our model all tasks have common value density. Each task has a release time. an exe-cution time and a deadline. The sched...
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We consider the problem of competitive on-liae scheduling in two processor real-timesystems. In our model all tasks have common value density. Each task has a release time. an exe-cution time and a deadline. The scheduler is given no information about a task until it is *** the value will be achieved if and only if the task is completed by its deadlirte. Moreover. wesuppose that migratbn is not allowed. The goal of the scheduler is to obtain as much value as pos-sible. In this paper we show that the competitive multipber of Safe-Risky-fixed algorithm irt [4]is really 3 and presents a modified algorithm (Safe-Risky-unfixed algorithm) that achieves a com-petitive mukiplier of 2. 79.
In IaaS cloud services, QoS of network applications (NW-Apps) may degrade due to location factors such as significant distance between a server-side application (server) of a NW-App at a data center and a client-side ...
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ISBN:
(纸本)9781479963904
In IaaS cloud services, QoS of network applications (NW-Apps) may degrade due to location factors such as significant distance between a server-side application (server) of a NW-App at a data center and a client-side application (client) of the NW-App at a client terminal. In order to shorten the distance and to improve the QoS, server migration services (SMSes) have been proposed. In SMSes, servers may migrate between different computers (called work places, WPs) on a network to prevent QoS degradation caused by the changes of client locations. Although server migrations can improve QoS of NW-Apps, they also generate a huge amount of traffic (server migration traffic) in the network. This paper focuses on a server location decision problem where the location of a server is decided in an on-line manner so that QoS of a NW-App is improved under the constraint that the server migration traffic has to be suppressed below an acceptable level. For the problem, we propose a practical on-line algorithm. The key idea behind the proposed algorithm is that the location of the server is decided with consideration of the QoS degradation in the future. The algorithm defines the averagely good location for the server where the QoS is expected to be relatively good for various client locations. Then, it keeps the range of the server's migration within the returnable range where the server can soon come back to the averagely good location. As a result, the QoS can be always kept as good as the one under the averagely good location. Simulation results show that the proposed algorithm improves QoS of the NW-App by up to 30% compared to a greedy algorithm.
One of the basic and fundamental problems in scheduling is to minimize the machine completion time vector in the l(p) norm (a direct extension of the l(infinity) norm: the makespan) on uniform parallel machines. We co...
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ISBN:
(纸本)9783540688655
One of the basic and fundamental problems in scheduling is to minimize the machine completion time vector in the l(p) norm (a direct extension of the l(infinity) norm: the makespan) on uniform parallel machines. We concentrate on the on-line and preemptive version of this problem where jobs arrive one by one over a list and are allowed to be preempted. We present a best possible deterministic on-line scheduling algorithm along with a matching lower bound when there are two machines, generalizing existing results for the identical machines scheduling problem in the literature. The main difficulty in the design of the algorithm and the analysis of the resultant competitive ratio as well as the proof of the lower bound is that the competitive ratio is only known to be the root of some equation systems, which admits no analytic solution-a distinct feature from most existing literature on competitive analysis. As a consequence, we develop some new ideas to tackle this difficulty. Specifically we need to exploit the properties of the equations system that defines the competitive ratio.
We define an on-line (incremental) algorithm that, given a (possibly infinite) pseudo-transitive oriented graph, produces a transitive reorientation. This implies that a theorem of Ghouila-Houri is provable in RCA(0) ...
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We define an on-line (incremental) algorithm that, given a (possibly infinite) pseudo-transitive oriented graph, produces a transitive reorientation. This implies that a theorem of Ghouila-Houri is provable in RCA(0) and hence is computably true.
In this paper, we consider a single machine on-line scheduling problem with the special chains precedence and delivery time. All jobs arrive over time. The chains(i) chains arrive at time r(i), it is known that the pr...
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ISBN:
(纸本)9780819495662
In this paper, we consider a single machine on-line scheduling problem with the special chains precedence and delivery time. All jobs arrive over time. The chains(i) chains arrive at time r(i), it is known that the processing and delivery time of each job on the chain satisfy one special condition CD aforehand: if the job J(j)((i)) is the predecessor of the job J(k)((i)) on the chain chains(i), then they satisfy p(j)((i)) = p(k)((i)) = p >= q(j) >= q(k), i = 1,2, ..., n, where p(j) and q(j) denote the processing time and the delivery time of the job J(j) respectively. Obviously, if the arrival jobs have no chains precedence, it shows that the length of the corresponding chain is 1. The objective is to minimize the time by which all jobs have been delivered. We provide an on-line algorithm with a competitive ratio of root 2, and the result is the best possible.
There are many obstacles preventing new learners of the Guzheng from getting faster improvements. For example, the need to flip the music sheet with one hand interrupts the consistency of the performance. To overcome ...
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ISBN:
(纸本)9781538668122;9781538668115
There are many obstacles preventing new learners of the Guzheng from getting faster improvements. For example, the need to flip the music sheet with one hand interrupts the consistency of the performance. To overcome these difficulties, an on-line algorithm for music-to-score alignment is proposed in this paper, whose function is to detect and trace the progress of the music signal recorded by a microphone. The use of Dynamic Time Warping (DTW) technique helps to align the standard music and the recording. Therefore, it is possible to show the progress on the screen in the real time and flip the page automatically when it is required. Furthermore, the errors of the player's performance can also be detected with further improvements of the algorithm.
Recently, we proposed a modular network SOM (mnSOM) in which each nodal unit of the conventional SOM is replaced by a neural network module. In the mnSOM, the learning algorithm is based on the batch learning SOM for ...
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This article presents an algorithm that solves an on-line version of the longest common subsequence (LCS) problem for two strings over a constant alphabet in O(d+n) time and O(m+d) space, where m is the length of the ...
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The existence of an on-line competitive algorithm for coloring bipartite graphs is a tantalizing open problem. So far there are only partial positive results for bipartite graphs with certain small forbidden graphs as...
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The existence of an on-line competitive algorithm for coloring bipartite graphs is a tantalizing open problem. So far there are only partial positive results for bipartite graphs with certain small forbidden graphs as induced subgraphs. We propose an on-line competitive coloring algorithm for -free bipartite graphs.
Nowadays, wireless LAN has become the most widely deployed technology in mobile devices for providing Internet access. Operators and service providers remarkably increase the density of wireless access points in order...
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Nowadays, wireless LAN has become the most widely deployed technology in mobile devices for providing Internet access. Operators and service providers remarkably increase the density of wireless access points in order to provide their subscribers with better connectivity and user experience. As a result, WLAN users usually find themselves covered by multiple access points and have to decide which one to associate with. In traditional implementations, most wireless stations would select the access point with the strongest signal, regardless of traffic load on that access point, which might result in heavy congestion and unfair load. In this paper, we propose a novel on-line association algorithm to deal with any sequence of STAs during a long-term time such as one day. the performance of our algorithm is evaluated through simulation and experiments. Simulation results show that our algorithm improves the overall WLAN throughput by up to 37%, compared with the conventional RSSI-based approach. Our algorithm also performs better than SSF (Strongest Signal First) and LAB (Largest Available Bandwidth) in the experiments.
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