Denghui Zhang^1,*, Guocai Yin²

Journal on Internet of Things, Vol.3, No.4, pp. 149-157, 2021, DOI:10.32604/jiot.2021.016936 - 30 December 2021

Abstract Cloud data centers face the largest energy consumption. In order to save energy consumption in cloud data centers, cloud service providers adopt a virtual machine migration strategy. In this paper, we propose an efficient virtual machine placement strategy (VMP-SI) based on virtual machine selection and integration. Our proposed VMP-SI strategy divides the migration process into three phases: physical host state detection, virtual machine selection and virtual machine placement. The local regression robust (LRR) algorithm and minimum migration time (MMT) policy are individual used in the first and section phase, respectively. Then we design a virtual More >

RUONAN GU^1,2, WENJING GUO², WENYANG WANG¹, GUIHUAN LI¹, XIAOJU LAI¹, ZHIBIN HUANG¹, WANLU ZHAO¹, ZHICONG WU¹, HUA CHEN¹, WENYANG LUO¹, FANGYIN ZENG^3,*, FAN DENG^1,*

BIOCELL, Vol.45, No.6, pp. 1585-1599, 2021, DOI:10.32604/biocell.2021.017016 - 01 September 2021

Abstract Propofol, a common intravenous anesthetic used in clinical, has been shown to regulate cells proliferation, inflammation, angiogenesis and metastasis as well as exerting anti-cancer effect in several different types of cancer. However, the functions and mechanisms of propofol in lactate secretion and invasion of cancer cells remain unknown. The primary aim of this study was to investigate the role of propofol in cells migration and invasion of colon cancer (CRC). Scratches assay, Transwell assay were used to detect colon cells migration and invasion. Real-time Quantitative Polymerase Chain Reaction (RT-qPCR), Western blotting were utilized to detect… More >

Xiaoliang Lin^1,*, Junxiao Shi¹, Yanbo Wang¹, Chenyang Liu¹, Bin Lu¹, Siwen Xu²

Intelligent Automation & Soft Computing, Vol.29, No.3, pp. 915-926, 2021, DOI:10.32604/iasc.2021.018513 - 01 July 2021

Abstract Internet of Vehicles (IoV) is a popular application scenario that combines edge computing and the Internet of Things. Among them, service migration caused by IoV application mobility is a research hotspot in this field. This paper studies the migration strategy of container applications based on edge computing in the IoV business scenario. In order to solve the difficulty in selecting the target server of the application to be migrated in the crossroads scenario, this paper converts the migration decision to the shortest path problem based on dynamic programming, and obtains the best migration choice at More >

Mohammad Aldossary^*

CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3531-3562, 2021, DOI:10.32604/cmc.2021.017477 - 06 May 2021

Abstract With the striking rise in penetration of Cloud Computing, energy consumption is considered as one of the key cost factors that need to be managed within cloud providers’ infrastructures. Subsequently, recent approaches and strategies based on reactive and proactive methods have been developed for managing cloud computing resources, where the energy consumption and the operational costs are minimized. However, to make better cost decisions in these strategies, the performance and energy awareness should be supported at both Physical Machine (PM) and Virtual Machine (VM) levels. Therefore, in this paper, a novel hybrid approach is proposed, which… More >

MENGYI TANG^1,2,3,4,#, BOWEN YANG^1,2,3,4,#, CHUANG ZHANG^1,2,3,4, CHAOXU ZHANG^1,2,3,4, DAN ZANG^1,2,3,4, LIBAO GONG^1,2,3,4, YUNPENG LIU^1,2,3,4, ZHI LI^1,2,3,4,*, XIUJUAN QU^1,2,3,4,*

BIOCELL, Vol.45, No.4, pp. 911-921, 2021, DOI:10.32604/biocell.2021.010119 - 22 April 2021

Abstract Distal gastric cancer (DGC) is a subgroup of gastric cancer (GC), which has different molecular characteristics from proximal gastric cancer (PGC). These differences result in different overall survival (OS) rates; however, data pertaining to the survival rate in PGC or DGC are contradictory. This suggests that the location of GC is not the unique cause of the different survival rates, while the molecular characteristics might be more important factors determining the prognosis of DGC. Therefore, the aim of this study was to discover key prognostic factors in DGC using bioinformatic methods and to explore the… More >

HONGXIA HU^*, PING GUO, QIAN ZHAO, HAORAN LI, HUALEI LIU, CAIHONG MA

BIOCELL, Vol.45, No.4, pp. 995-1004, 2021, DOI:10.32604/biocell.2021.012851 - 22 April 2021

Abstract This study aims to detect the expression of selected circulating microRNAs (miRNA), including miRNA-451a, miRNA-486-5p and miR-10b-5p, and their prospective roles as biomarkers in patients with atherosclerosis. For this purpose, levels of miRNAs were detected by real-time quantitative polymerase chain reaction (RT-qPCR) in case (N = 30) and healthy control (N = 30) groups. Receiver operating characteristic (ROC) curve analysis was carried out to evaluate the diagnostic ability of miRNAs. The correlations of miR-451a with lipid parameters were evaluated using Pearson’s correlation coefficients. HUVEC tested by ox-LDL was used as a cellular model of atherosclerosis.… More >

Yuan Liu^1,2,#, Yun Jia³, Bing Zhang², Anwen Liu^1,*

Oncologie, Vol.23, No.1, pp. 61-72, 2021, DOI:10.32604/Oncologie.2021.015906 - 30 March 2021

Abstract Gastric cancer (GC) is the most common digestive system malignant tumor and second most common cause of cancer-related death. Even for the early gastric cancer, after radical operation, perioperative and postoperative chemotherapy the recurrence and metastasis are also high. 5-year overall survival of all GC patients is only 10–15%. Chemo-resistance still poses a major obstacle to successful treatment of GC. The aberrant expression of TUG1 (Taurine Upregulated Gene 1) was closely related to chemo-resistance and metastasis in many cancers. Here we over-expressed TUG1 in GC cell line SGC-7901 and MGC-803. We compared the migration ability More >

BENJIANG QIAN¹, XIAOYAN YING², GUANG YANG¹, HUIZHANG LI³, JIANMING TAN^1,*

BIOCELL, Vol.45, No.3, pp. 577-588, 2021, DOI:10.32604/biocell.2021.014972 - 03 March 2021

Abstract This work aimed to discover new therapeutic targets in renal clear cell carcinoma by bioinformatics and detect the effect of candidate gene TRIP13 in renal cell carcinoma (RCC) cell proliferation, migration, and invasion. Differentially expressed mRNAs were screened based on The Cancer Genome Atlas (TCGA)-Kidney Renal Clear Cell Carcinoma (KIRC) databases, and functional enrichments, survival analysis, receiver operating characteristic curve (ROC), and Protein–Protein Interaction (PPI) protein interaction analysis were performed by R software to screen the candidate gene TRIP13. Then, the expression of candidate gene TRIP13 in 92 pairs of cancer and adjacent normal tissues… More >

DONGYUE ZHANG, LINA WANG, HAO WANG, XIAOQIAN LV, QIAN REN, GUOGUANG ZHENG^*

BIOCELL, Vol.45, No.1, pp. 149-156, 2021, DOI:10.32604/biocell.2021.010334 - 26 January 2021

Abstract Legumain is a C13 family cysteine protease. It plays diverse roles under both physiological and pathological conditions. The high-level expression of legumain is detected in solid tumors. Legumain promotes the proliferation and migration of tumor cells. However, the effect of legumain in blood diseases has not been established. In this report, we studied the effect of legumain on leukemia cells by overexpressing it in THP1 cells. The results demonstrated that legumain promoted cell proliferation, whereas it had little effect on cell apoptosis. Furthermore, legumain promoted the migration of THP1 cells. It was worth noting that 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 >