• Title/Summary/Keyword: GREEDY

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A Repeated Mapping Scheme of Task Modules with Minimum Communication Cost in Hypercube Multicomputers

  • Kim, Joo-Man;Lee, Cheol-Hoon
    • ETRI Journal
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    • v.20 no.4
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    • pp.327-345
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    • 1998
  • This paper deals with the problem of one-to-one mapping of 2$^n$ task modules of a parallel program to an n-dimensional hypercube multicomputer so as to minimize the total communication cost during the execution of the task. The problem of finding an optimal mapping has been proven to be NP-complete. First we show that the mapping problem in a hypercube multicomputer can be transformed into the problem of finding a set of maximum cutsets on a given task graph using a graph modification technique. Then we propose a repeated mapping scheme, using an existing graph bipartitioning algorithm, for the effective mapping of task modules onto the processors of a hypercube multicomputer. The repeated mapping scheme is shown to be highly effective on a number of test task graphs; it increasingly outperforms the greedy and recursive mapping algorithms as the number of processors increases. Our repeated mapping scheme is shown to be very effective for regular graphs, such as hypercube-isomorphic or 'almost' isomorphic graphs and meshes; it finds optimal mappings on almost all the regular task graphs considered.

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Profit-Maximizing Virtual Machine Provisioning Based on Workload Prediction in Computing Cloud

  • Li, Qing;Yang, Qinghai;He, Qingsu;Kwak, Kyung Sup
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.12
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    • pp.4950-4966
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    • 2015
  • Cloud providers now face the problem of estimating the amount of computing resources required to satisfy a future workload. In this paper, a virtual machine provisioning (VMP) mechanism is designed to adapt workload fluctuation. The arrival rate of forthcoming jobs is predicted for acquiring the proper service rate by adopting an exponential smoothing (ES) method. The proper service rate is estimated to guarantee the service level agreement (SLA) constraints by using a diffusion approximation statistical model. The VMP problem is formulated as a facility location problem. Furthermore, it is characterized as the maximization of submodular function subject to the matroid constraints. A greedy-based VMP algorithm is designed to obtain the optimal virtual machine provision pattern. Simulation results illustrate that the proposed mechanism could increase the average profit efficiently without incurring significant quality of service (QoS) violations.

Operator Revenue Maximizing Heuristics with QoS Guarenetees for Real Time Traffic in 4G Networks

  • Poudyal, Neeraj;Lee, Ha-Cheol;Lee, Byung-Seub
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.5
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    • pp.976-998
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    • 2011
  • This paper attempts to maximize the operator's revenue while simultaneously providing a multi-constraint, multi-hop and deterministic QoS provisioning for real time traffic in IEEE 802.16m based 4G networks. The optimal solution to such a problem is NP-complete and therefore not feasible to be solved in a tolerable polynomial time. For this reason, we also provide a simple price based greedy heuristic to be used along with the admission control. Simulation results for different QoS schemes show that the heuristic produces a revenue that is very close to the optimal revenue, and is far more aggressive than the size based and other common algorithms that are computationally feasible to be implemented in IEEE 802.16m.

Improved Algorithms for Minimum Cost Replicated Web Contents Distribution Tree (통신비용을 최소화하는 복제 웹컨텐츠 분배나무 구성을 위한 개선된 알고리즘)

  • Hong Sung-Pil;Lee Dong-Gwon
    • Korean Management Science Review
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    • v.22 no.2
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    • pp.99-107
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    • 2005
  • Recently, Tang and Chanson proposed a minimum cost distribution model for replicated Web contents subject to an expiration-based consistency management. Their model is a progress in that it can consider multiple replicas via the network of servers located on the Web. The proposed greedy heuristic, however, has an undesirable feature that the solution tends to converge a local optimum at an early stage of the algorithm. in this paper, we propose an algorithm based on a simple idea of preventing the early local convergence. The new algorithm provides solutions whose cost are, on the average, 27$\%$ lower than in the previous algorithm.

Distributed Prevention Mechanism for Network Partitioning in Wireless Sensor Networks

  • Wang, Lili;Wu, Xiaobei
    • Journal of Communications and Networks
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    • v.16 no.6
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    • pp.667-676
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    • 2014
  • Connectivity is a crucial quality of service measure in wireless sensor networks. However, the network is always at risk of being split into several disconnected components owing to the sensor failures caused by various factors. To handle the connectivity problem, this paper introduces an in-advance mechanism to prevent network partitioning in the initial deployment phase. The approach is implemented in a distributed manner, and every node only needs to know local information of its 1-hop neighbors, which makes the approach scalable to large networks. The goal of the proposed mechanism is twofold. First, critical nodes are locally detected by the critical node detection (CND) algorithm based on the concept of maximal simplicial complex, and backups are arranged to tolerate their failures. Second, under a greedy rule, topological holes within the maximal simplicial complex as another potential risk to the network connectivity are patched step by step. Finally, we demonstrate the effectiveness of the proposed algorithm through simulation experiments.

Watershed Delineation Algorithm Using Kruskal's Algorithm and Triangulated Irregular Network (크루스칼 알고리즘과 불규칙 삼각망을 이용한 유역 추출 알고리즘)

  • Park Mee-Jeong;Heo Hyun;Kim Tae-Gon;Suh Kyo;Lee Jeong-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.48 no.4
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    • pp.3-12
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    • 2006
  • Watershed is the land area that contributes runoff to an outlet point. To delineate an watershed, watershed delineation using GIS that contains grid data structure is the most general method. Some researchers have studied to implement algorithms that revise the TIN topography since it is difficult to delineate watershed boundary more accurately. In this study kruskal's greedy algorithm and triangulated irregular network (TIN) were used to delineate a watershed. This method does not require a conversion from to DEM in grid and automatically obtain(generates) the oulet points. Delineation algorithm was tested in Geosan-gun, Chung-cheongbuk-do and get small watershed areas. Finally, kruskal's algorithm could operate more precisely with revision algorithm.

A Study on the historical research of the leading man's Costume in 'Chun hyangjeon' ('춘향전(春香傳)'에 등장(登場)하는 주요(主要) 남자(男子) 복식(服飾) 고증(考證) 연구(硏究))

  • Kim, Moon-Ja
    • Journal of Fashion Business
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    • v.9 no.4
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    • pp.79-93
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    • 2005
  • 'Chunhyangjeon' was written by an anonymous author in the mid-period of Chosun Dynasty. The personalities of characters and the styles of dress of men in 'Chunhyangjeon' recreated their clothing to one that is more similar to the descriptions in the literature text can be described as follows. Lee, Mongyong was a young man, but he was a man of integrity and honor. In outwear he wore 'Hat(Heulip)' and 'Dopo' and Taesahae. When he earned his title, he wore 'Pokdu' with flowers and 'Angsam(ceremonial robe)'. After he became a secret royal inspector, in order to disguised on himself as a poor man he wore worn-out 'Heuklip' and 'Dopo' and Jipsin. Bangja who was a servant of Lee, Mongyong wore 'Beonggeoji' and 'Kwaeja' and 'Mituli'. Byun, Hacdo was a rash and greedy character, he wore 'Oklolip' and 'Cheopli' and 'mokhwa' when he was on the way to his post. Yeokjol was low grade official wore 'Jeonlip' and 'Cheopli' and 'Red shoulder band' and 'Mituli'.

Knowledge Representation Using Decision Trees Constructed Based on Binary Splits

  • Azad, Mohammad
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.10
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    • pp.4007-4024
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    • 2020
  • It is tremendously important to construct decision trees to use as a tool for knowledge representation from a given decision table. However, the usual algorithms may split the decision table based on each value, which is not efficient for numerical attributes. The methodology of this paper is to split the given decision table into binary groups as like the CART algorithm, that uses binary split to work for both categorical and numerical attributes. The difference is that it uses split for each attribute established by the directed acyclic graph in a dynamic programming fashion whereas, the CART uses binary split among all considered attributes in a greedy fashion. The aim of this paper is to study the effect of binary splits in comparison with each value splits when building the decision trees. Such effect can be studied by comparing the number of nodes, local and global misclassification rate among the constructed decision trees based on three proposed algorithms.

Greedy based Ordering for Group Filter Processing of Continuous Queries' Selection Predicates (그리디 기반의 연속질의 선택조건의 그룹 필터 순서)

  • Kim, Sung-Hyun;Lee, Won-Suk
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.11b
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    • pp.49-51
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    • 2005
  • 데이터 스트림 환경에서는 빠르게 무한히 생성되는 데이터를 가능한 빠른 시간에 질의 조건의 충족 여부를 판단하는 것이 시스템의 성능에서 중요한 역할을 한다. 따라서 신속한 판단을 위해 다수의 데이터 스트림 시스템에서 개별 선택 조건을 처리하는 것보다는 속성으로 통합하여 그룹 처리하는 방식을 사용하고 있다. 그룹 필터 처리시에는 그룹 필터의 순서에 따라 큰 처리비용의 차이가 발생하는데 본 논문은 데이터스트림 환경에서 시스템이 처리해야 하는 다수의 연속질의의 선택조건을 그룹 처리할 때 그룹 필터 연산의 처리 비용을 최소화 하기 위한 순서를 결정하는 방법을 제안한다.

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An Energy Efficient Algorithm Based on Clustering Formulation and Scheduling for Proportional Fairness in Wireless Sensor Networks

  • Cheng, Yongbo;You, Xing;Fu, Pengcheng;Wang, Zemei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.2
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    • pp.559-573
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    • 2016
  • In this paper, we investigate the problem of achieving proportional fairness in hierarchical wireless sensor networks. Combining clustering formulation and scheduling, we maximize total bandwidth utility for proportional fairness while controlling the power consumption to a minimum value. This problem is decomposed into two sub-problems and solved in two stages, which are Clustering Formulation Stage and Scheduling Stage, respectively. The above algorithm, called CSPF_PC, runs in a network formulation sequence. In the Clustering Formulation Stage, we let the sensor nodes join to the cluster head nodes by adjusting transmit power in a greedy strategy; in the Scheduling Stage, the proportional fairness is achieved by scheduling the time-slot resource. Simulation results verify the superior performance of our algorithm over the compared algorithms on fairness index.