P. Anandraj^1,*, S. Ramabalan²

Computer Systems Science and Engineering, Vol.42, No.2, pp. 795-811, 2022, DOI:10.32604/csse.2022.022107 - 04 January 2022

Abstract The design of controllers for robots is a complex system that is to be dealt with several tasks in real time for enabling the robots to function independently. The distributed robotic control system can be used in real time for resolving various challenges such as localization, motion controlling, mapping, route planning, etc. The distributed robotic control system can manage different kinds of heterogenous devices. Designing a distributed robotic control system is a challenging process as it needs to operate effectually under different hardware configurations and varying computational requirements. For instance, scheduling of resources (such as… More >

Zakir Ullah¹, Asif Umer¹, Mahdi Zaree², Jamil Ahmad¹, Faisal Alanazi^3,*, Noor Ul Amin¹, Arif Iqbal Umar¹, Ali Imran Jehangiri¹, Muhammad Adnan¹

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2123-2140, 2021, DOI:10.32604/cmc.2021.015445 - 21 July 2021

Abstract Cloud computing is a demanding business platform for services related to the field of IT. The goal of cloud customers is to access resources at a sustainable price, while the goal of cloud suppliers is to maximize their services utilization. Previously, the customers would bid for every single resource type, which was a limitation of cloud resources allocation. To solve these issues, researchers have focused on a combinatorial auction in which the resources are offered by the providers in bundles so that the user bids for their required bundle. Still, in this allocation mechanism, some… More >

Sohan Kumar Pande¹, Sanjaya Kumar Panda², Satyabrata Das¹, Kshira Sagar Sahoo³, Ashish Kr. Luhach⁴, N. Z. Jhanjhi^5,*, Roobaea Alroobaea⁶, Sivakumar Sivanesan⁵

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2647-2663, 2021, DOI:10.32604/cmc.2021.015026 - 05 February 2021

Abstract In recent years, vehicular cloud computing (VCC) has gained vast attention for providing a variety of services by creating virtual machines (VMs). These VMs use the resources that are present in modern smart vehicles. Many studies reported that some of these VMs hosted on the vehicles are overloaded, whereas others are underloaded. As a circumstance, the energy consumption of overloaded vehicles is drastically increased. On the other hand, underloaded vehicles are also drawing considerable energy in the underutilized situation. Therefore, minimizing the energy consumption of the VMs that are hosted by both overloaded and underloaded… More >

Priya Baldoss^1,2,*, Gnanasekaran Thangavel³

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 253-265, 2021, DOI:10.32604/cmc.2021.013695 - 12 January 2021

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 >

Sardar Khaliq uz Zaman¹, Tahir Maqsood¹, Mazhar Ali¹, Kashif Bilal¹, Sajjad A. Madani¹, Atta ur Rehman Khan^2,*

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 >

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 >

Rahul H. Rathod^1,2, Brittney Jurgen^1,2, Rose A. Hamershock³, Kevin G. Friedman^1,2, Audrey C. Marshall^1,2, Mihail Samnaliev⁴, Dionne A. Graham³, Kathy Jenkins^1,2, James E. Lock^1,2, Andrew J. Powell^1,2

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 >