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  • Open Access


    Optimal Resource Allocation and Quality of Service Prediction in Cloud

    Priya Baldoss1,2,*, Gnanasekaran Thangavel3

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 253-265, 2021, DOI:10.32604/cmc.2021.013695

    Abstract In the present scenario, cloud computing service provides on-request access to a collection of resources available in remote system that can be shared by numerous clients. Resources are in self-administration; consequently, clients can adjust their usage according to their requirements. Resource usage is estimated and clients can pay according to their utilization. In literature, the existing method describes the usage of various hardware assets. Quality of Service (QoS) needs to be considered for ascertaining the schedule and the access of resources. Adhering with the security arrangement, any additional code is forbidden to ensure the usage… More >

  • Open Access


    A Load Balanced Task Scheduling Heuristic for Large-Scale Computing Systems

    Sardar Khaliq uz Zaman1, Tahir Maqsood1, Mazhar Ali1, Kashif Bilal1, Sajjad A. Madani1, Atta ur Rehman Khan2,*

    Computer Systems Science and Engineering, Vol.34, No.2, pp. 79-90, 2019, DOI:10.32604/csse.2019.34.079

    Abstract Optimal task allocation in Large-Scale Computing Systems (LSCSs) that endeavors to balance the load across limited computing resources is considered an NP-hard problem. MinMin algorithm is one of the most widely used heuristic for scheduling tasks on limited computing resources. The MinMin minimizes makespan compared to other algorithms, such as Heterogeneous Earliest Finish Time (HEFT), duplication based algorithms, and clustering algorithms. However, MinMin results in unbalanced utilization of resources especially when majority of tasks have lower computational requirements. In this work we consider a computational model where each machine has certain bounded capacity to execute… More >

  • Open Access


    Impact of standardized clinical assessment and management plans on resource utilization and costs in children after the arterial switch operation

    Rahul H. Rathod1,2, Brittney Jurgen1,2, Rose A. Hamershock3, Kevin G. Friedman1,2, Audrey C. Marshall1,2, Mihail Samnaliev4, Dionne A. Graham3, Kathy Jenkins1,2, James E. Lock1,2, Andrew J. Powell1,2

    Congenital Heart Disease, Vol.12, No.6, pp. 768-776, 2017, DOI:10.1111/chd.12508

    Abstract Background: Standardized Clinical Assessment and Management Plans (SCAMPs) are a quality improvement initiative designed to reduce unnecessary utilization, decrease practice variation, and improve patient outcomes. We created a novel methodology, the SCAMP managed episode of care (SMEOC), which encompasses multiple encounters to assess the impact of the arterial switch operation (ASO) SCAMP on total costs.
    Methods: All ASO SCAMP patients (dates March 2009 to July 2015) were compared to a control group of ASO patients (January 2001 to February 2009). Patients were divided into “younger” (<2 years) and “older” (2–18 years) subgroups. Utilization included all cardiology visits,… More >

  • Open Access


    Hospital resource utilization and presence of advance directives at the end of life for adults with congenital heart disease

    Jill M. Steiner1, James N. Kirkpatrick1, Susan R. Heckbert2, James Sibley3, James A. Fausto3, Ruth A. Engelberg3, J. Randall Curtis3

    Congenital Heart Disease, Vol.13, No.5, pp. 721-727, 2018, DOI:10.1111/chd.12638

    Abstract Objective: Overall health care resource utilization by adults with congenital heart disease has increased dramatically in the past two decades, yet little is known about utilization patterns at the end of life. The objective of this study is to better under‐ stand the patterns and influences on end‐of‐life care intensity for adults with con‐ genital heart disease.
    Methods: We identified a sample of adults with congenital heart disease (n = 65), cancer (n = 10 784), or heart failure (n = 3809) who died between January 2010 and December 2015, cared for in one multi‐hospital health care… More >

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