Keyword search (4,163 papers available)

"Sharma G" Authored Publications:

Title Authors PubMed ID
1 Fortifying the Rasamsonia emersonii secretome with recombinant cellobiohydrolase (GH7) for efficient biomass saccharification Raheja Y; Singh V; Gaur VK; Sharma G; Tsang A; Chadha BS; 40622460
GENOMICS
2 Developing endophytic Penicillium oxalicum as a source of lignocellulolytic enzymes for enhanced hydrolysis of biorefinery relevant pretreated rice straw Sharma G; Kaur B; Raheja Y; Kaur A; Singh V; Basotra N; Di Falco M; Tsang A; Chadha BS; 39249151
CSFG
3 Transcriptional and secretome analysis of Rasamsonia emersonii lytic polysaccharide mono-oxygenases Raheja Y; Singh V; Kumar N; Agrawal D; Sharma G; Di Falco M; Tsang A; Chadha BS; 39167166
CSFG
4 Genome and secretome insights: unravelling the lignocellulolytic potential of Myceliophthora verrucosa for enhanced hydrolysis of lignocellulosic biomass Sharma G; Kaur B; Singh V; Raheja Y; Falco MD; Tsang A; Chadha BS; 38676717
CSFG
5 A thermostable and inhibitor resistant β-glucosidase from Rasamsonia emersonii for efficient hydrolysis of lignocellulosics biomass Raheja Y; Singh V; Sharma G; Tsang A; Chadha BS; 38470501
CSFG
6 CRISPR/Cas9 mediated gene editing of transcription factor ACE1 for enhanced cellulase production in thermophilic fungus Rasamsonia emersonii Singh V; Raheja Y; Basotra N; Sharma G; Tsang A; Chadha BS; 37658430
CSFG
7 Lignocellulolytic enzymes from Aspergillus allahabadii for efficient bioconversion of rice straw into fermentable sugars and biogas Sharma G; Kaur B; Raheja Y; Agrawal D; Basotra N; Di Falco M; Tsang A; Singh Chadha B; 35753566
CSFG
8 Experimental Setup for Investigating the Efficient Load Balancing Algorithms on Virtual Cloud Alankar B; Sharma G; Kaur H; Valverde R; Chang V; 33371361
JMSB

 

Title:Experimental Setup for Investigating the Efficient Load Balancing Algorithms on Virtual Cloud
Authors:Alankar BSharma GKaur HValverde RChang V
Link:https://pubmed.ncbi.nlm.nih.gov/33371361/
DOI:10.3390/s20247342
Publication:Sensors (Basel, Switzerland)
Keywords:Apache JmeterHAProxycloud computingleast connectionsload balancing/balancerround robinvirtual machine
PMID:33371361 Category: Date Added:2020-12-29
Dept Affiliation: JMSB
1 Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi 110062, India.
2 John Molson School of Business, Concordia University, Montreal, QC G1X 3X4, Canada.
3 Artificial Intelligence and Information Systems Research Group, School of Computing, Engineering and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK.

Description:

Cloud computing has emerged as the primary choice for developers in developing applications that require high-performance computing. Virtualization technology has helped in the distribution of resources to multiple users. Increased use of cloud infrastructure has led to the challenge of developing a load balancing mechanism to provide optimized use of resources and better performance. Round robin and least connections load balancing algorithms have been developed to allocate user requests across a cluster of servers in the cloud in a time-bound manner. In this paper, we have applied the round robin and least connections approach of load balancing to HAProxy, virtual machine clusters and web servers. The experimental results are visualized and summarized using Apache Jmeter and a further comparative study of round robin and least connections is also depicted. Experimental setup and results show that the round robin algorithm performs better as compared to the least connections algorithm in all measuring parameters of load balancer in this paper.





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