• 제목/요약/키워드: Resources allocation

검색결과 794건 처리시간 0.029초

The Causal Relationship on Quality-centered Organizational Culture and Its Impact on Service Failure and Service Recovery

  • Suk, Jong-Bae;Chung, Soong-Hwan;Choi, Kang-Hwa;Park, Ji-Young
    • International Journal of Quality Innovation
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    • 제10권1호
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    • pp.37-51
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    • 2009
  • The purpose of TQM (Total Quality Management)-centered organizational culture is to enhance the efficiency of business through the proper allocation and concentration of restricted resources. In order to maximize the corporate profitability through customer satisfaction, what kind of, when and how many resources should be allocated and managed to the preventive TQM activities and corrective TQM activities have become a very important decision making factors at the point of high management. This study aims to identify the causal relationships of quality-centered organizational culture on service quality and customer satisfaction relating to service failure in food service industry. And this study is intended to discover the factors of quality-centered organizational culture which impacts on service recovery justice after service failure happens, and it can be helpful for the top managers to make a decision to how to form corporate structural culture.

A Classification-Based Virtual Machine Placement Algorithm in Mobile Cloud Computing

  • Tang, Yuli;Hu, Yao;Zhang, Lianming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권5호
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    • pp.1998-2014
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    • 2016
  • In recent years, cloud computing services based on smart phones and other mobile terminals have been a rapid development. Cloud computing has the advantages of mass storage capacity and high-speed computing power, and it can meet the needs of different types of users, and under the background, mobile cloud computing (MCC) is now booming. In this paper, we have put forward a new classification-based virtual machine placement (CBVMP) algorithm for MCC, and it aims at improving the efficiency of virtual machine (VM) allocation and the disequilibrium utilization of underlying physical resources in large cloud data center. By simulation experiments based on CloudSim cloud platform, the experimental results show that the new algorithm can improve the efficiency of the VM placement and the utilization rate of underlying physical resources.

Service Block Based Resource Allocation Scheme for Macrocell-Femtocell Networks

  • Lee, Jong-Chan;Lee, Moon-Ho
    • 한국컴퓨터정보학회논문지
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    • 제20권6호
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    • pp.29-35
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    • 2015
  • The heterogeneous LTE (Long Term Evolution)-Advanced networks comprising a macrocell and femtocells can provide an efficient solution not only to extend macrocell coverage but also to deal with packet traffics increasing explosively within macrocells. An efficient resource management scheme is necessary to maintain the QoS (Quality of Service) of mobile multimedia services because the LTE-Advanced system should support not only voice but also mobile applications such as data, image and video. This paper proposes a resource management scheme to guarantee QoS continuity of multimedia services and to maximize the resource utilization in OFDMA (Orthogonal Frequency Division Multiple Access) based LTE-Advanced systems. This scheme divides the resources into several service blocks and allocates those resources based on the competition between macrocell and femtocell. Simulation results show that it provides better performances than the conventional one in respect of handover failure rate and blocking rate.

한국의 국가전략기술분야 우선순위 설정에 관한 사례 연구 (Case Study of Priority-Setting of National Strategic Technologies in Korea)

  • 변도영;손석호;이정근;고대승;정근하;박병무
    • 기술경영경제학회:학술대회논문집
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    • 기술경영경제학회 2002년도 제20회 동계학술발표회 논문집
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    • pp.183-203
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    • 2002
  • The governments investment in R&D has rapidly increased so that a comprehensive and coherent approach to resource allocation has necessitated. Therefore the need for priorities in science and technology has been increased according to growing resources to science and technology. This study presents the methodology, process and results of priority-setting of national strategic technologies(IT, BT, NT, ST, ET, CT) through which 77 national key technologies are selected based on the criteria. Specifically it is intended to identify strategically necessary areas of focus for R&D, help leverage limited resources most effectively, and help coordinate government R&D activities by supplying ministries with a common set of priorities.

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Workflow Scheduling Using Heuristic Scheduling in Hadoop

  • Thingom, Chintureena;Kumar R, Ganesh;Yeon, Guydeuk
    • Journal of information and communication convergence engineering
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    • 제16권4호
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    • pp.264-270
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    • 2018
  • In our research study, we aim at optimizing multiple load in cloud, effective resource allocation and lesser response time for the job assigned. Using Hadoop on datacenter is the best and most efficient analytical service for any corporates. To provide effective and reliable performance analytical computing interface to the client, various cloud service providers host Hadoop clusters. The previous works done by many scholars were aimed at execution of workflows on Hadoop platform which also minimizes the cost of virtual machines and other computing resources. Earlier stochastic hill climbing technique was applied for single parameter and now we are working to optimize multiple parameters in the cloud data centers with proposed heuristic hill climbing. As many users try to priorities their job simultaneously in the cluster, resource optimized workflow scheduling technique should be very reliable to complete the task assigned before the deadlines and also to optimize the usage of the resources in cloud.

Resource-efficient load-balancing framework for cloud data center networks

  • Kumar, Jitendra;Singh, Ashutosh Kumar;Mohan, Anand
    • ETRI Journal
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    • 제43권1호
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    • pp.53-63
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    • 2021
  • Cloud computing has drastically reduced the price of computing resources through the use of virtualized resources that are shared among users. However, the established large cloud data centers have a large carbon footprint owing to their excessive power consumption. Inefficiency in resource utilization and power consumption results in the low fiscal gain of service providers. Therefore, data centers should adopt an effective resource-management approach. In this paper, we present a novel load-balancing framework with the objective of minimizing the operational cost of data centers through improved resource utilization. The framework utilizes a modified genetic algorithm for realizing the optimal allocation of virtual machines (VMs) over physical machines. The experimental results demonstrate that the proposed framework improves the resource utilization by up to 45.21%, 84.49%, 119.93%, and 113.96% over a recent and three other standard heuristics-based VM placement approaches.

A SCHEDULING TECHNIQUE FOR MULTIPLE RESOURCE ALLOCATION TO MULTIPLE PROJECTS IN CONSTRUCTION

  • K Ananthanarayanan;Murali Jagannathan
    • 국제학술발표논문집
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    • The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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    • pp.201-208
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    • 2011
  • Today's highly competitive construction scenario forces all the major players in the field to take up multiple projects which have put an undue pressure on the resources available within the organization. Under such a situation, there are many instances where in the resource requirement exceeds its availability due to multiple activities (with same resource requirement) which are scheduled to start simultaneously and thus results in the constrained resource becoming a bottleneck of the project. As a consequence of sharing resources, this paper studies the impact on the completion date of two similar projects under two different conditions, the first one resulting in a postponed end date and the second without any postponement. The resource utilization, the possibility of substitution of a resource and its subsequent impact on the deadline of the project is analyzed under these two circumstances. The study is done on a Critical Chain Project Management (CCPM) platform instead of leaving the schedule with a traditional Critical Path Method (CPM) finish, which gives an added advantage of validating the robustness of the emerging CCPM trend in the field of resource management.

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How Customer Adaptability Factors Affect Information Systems for Transportation: Vehicle Scheduling Models with Time Flexibility

  • Soonhui Lee
    • Asia pacific journal of information systems
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    • 제27권1호
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    • pp.1-17
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    • 2017
  • The need for effective information systems that can help in efficient transportation management has become essential. This study presents the potential benefits of developing a decision support system used by a trucking company for routing and scheduling. Our study investigates how customer exibility factors affect the utilization of transportation resources and establishes a vehicle scheduling model for better allocation of transportation resources with a time window. The results show vehicle savings from 25% up to 70% per day given different levels of exibility in delivery times. Increased capacity utilization can be achieved by considering only customer exibility in the model. Our study implies that incorporating customer exibility into the information system can help transportation organizations have the capability to gain control over management to cut costs and improve service.

Symbiotic Dynamic Memory Balancing for Virtual Machines in Smart TV Systems

  • Kim, Junghoon;Kim, Taehun;Min, Changwoo;Jun, Hyung Kook;Lee, Soo Hyung;Kim, Won-Tae;Eom, Young Ik
    • ETRI Journal
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    • 제36권5호
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    • pp.741-751
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    • 2014
  • Smart TV is expected to bring cloud services based on virtualization technologies to the home environment with hardware and software support. Although most physical resources can be shared among virtual machines (VMs) using a time sharing approach, allocating the proper amount of memory to VMs is still challenging. In this paper, we propose a novel mechanism to dynamically balance the memory allocation among VMs in virtualized Smart TV systems. In contrast to previous studies, where a virtual machine monitor (VMM) is solely responsible for estimating the working set size, our mechanism is symbiotic. Each VM periodically reports its memory usage pattern to the VMM. The VMM then predicts the future memory demand of each VM and rebalances the memory allocation among the VMs when necessary. Experimental results show that our mechanism improves performance by up to 18.28 times and reduces expensive memory swapping by up to 99.73% with negligible overheads (0.05% on average).

우리나라 정부간 재정관계의 실증분석 (Empirical Analysis on Intergovernmental Financial Relations in Korea)

  • 박정민
    • 한국콘텐츠학회논문지
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    • 제8권12호
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    • pp.275-282
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    • 2008
  • 본 연구는 우리나라 정부간 재정관계가 어떤 상태에 있는지, 그리고 우리나라 정부간 재정관계에 대한 적실성 있는 이론이나 모형을 모색하고자 하였다. 정부간 재정관계 모형을 집권모형, 관리 분권모형, 협력 분권모형, 경쟁 분권모형으로 분류하고, 우리나라 정부간 재정관계를 정부간 권력관계, 중앙/지방간 역할분담, 재원배분이라는 기준을 통해 실증 분석하였다. 분석 결과 우리나라 정부간 재정관계는 전반적으로 관리 분권모형에 해당한다고 볼 수 있으며, 점차 협력 분권모형으로 옮겨가고 있는 추세이다.