20 papers · ranked by Valyu relevance
D. Chitra Devi, V. Rhymend Uthariaraj
Cloud computing uses the concepts of scheduling and load balancing to migrate tasks to underutilized VMs for effectively sharing the resources. The scheduling of the nonpreemptive tasks in the cloud computing environment is an irrecoverable restraint and hence it has to be assigned to the most appropriate VMs at the…
Raju Singh
—Load Balancing is a critical technological advancement for scaled cloud infrastructure. It allows the systems to distribute the load to the backend servers with predefined algorithms such as round robin, weighted round-robin, least connection, weighted least connection, resource based (adaptive), weighted response…
Shafinaz Islam
—Load balancing algorithms play critical roles in systems where the workload has to be distributed across multiple resources, such as cores in multiprocessor system, computers in distributed computing, and network links. In this paper, we study and evaluate four load balancing methods: random, round robin, shortest…
Bhavya Alankar, Gaurav Sharma, Harleen Kaur, Raul Valverde + 1 more
'Victor Chang'] 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…
Teodor Petrović, Aleksa Vidaković, Ilija Doknić, Mladen Veinović + 3 more
'Živko Bojović' 'Naveen Chilamkurti' 'Patrick Seeling'] Traditional Software-Defined Wide Area Network (SD-WAN) solutions lack adaptive load-balancing mechanisms, leading to inefficient traffic distribution, increased latency, and performance degradation. This paper presents an Application-Aware Dynamic Load Balancing…
Connor Rawls, Mohsen Amini Salehi
Load balancing is prevalent in practical application (e.g., web) deployments seen today. One such load balancer, HAProxy, remains relevant as an open-source, easy-to-use system. In the context of web systems, the load balancer tier possesses significant influence over system performance and the incurred cost, which is…
Igor Ivanisenko, Тамара Радівілова
— The classification of the most used load balancing algorithms in distributed systems (including cloud technology, cluster systems, grid systems) is described. Comparative analysis of types of the load balancing algorithms is conducted in accordance with the classification, the advantages and drawbags of each type of…
Somaye Imanpour, Ahmadreza Montazerolghaem, Saeed Afshari
The Internet of Multimedia Things (IoMT) represents a significant advancement in the evolution of IoT technologies, focusing on the transmission and management of multimedia streams. As the volume of data continues to surge and the number of connected devices grows exponentially, internet traffic has reached…
Po-Huei Liang, Jiann-Min Yang
With technological advancements and constant changes of Internet, cloud computing has been today's trend. With the lower cost and convenience of cloud computing services, users have increasingly put their Web resources and information in the cloud environment. The availability and reliability of the client systems will…
R. Swathy, B. Vinayagasundaram, G. Rajesh, Anand Nayyar + 3 more
'Mohamed Abouhawwash' 'Mohamed Abu Elsoud' 'Baogui Xin'] On-demand cloud computing is one of the rapidly evolving technologies that is being widely used in the industries now. With the increase in IoT devices and real-time business analytics requirements, enterprises that ought to scale up and scale down their services…
Jaewoon Jung, Cheng Tan, Yuji Sugita
Residue-level coarse-grained (CG) molecular dynamics (MD) simulation is widely used to investigate slow biological processes that involve multiple proteins, nucleic acids, and their complexes. Biomolecules in a large simulation system are distributed non-uniformly, limiting computational efficiency with conventional…
Marouen Ben Guebila
Genome-scale metabolic models (GSMMs) of living organisms are used in a wide variety of applications pertaining to health and bioengineering. They are formulated as linear programs (LP) that are often under-determined. Flux Variability Analysis (FVA) characterizes the alternate optimal solution (AOS) space enabling…
Varun C. M, Anto Kumar R. P, Paulraj D, Priyanka P. S + 1 more
To increase cloud computing utilization and performance, efficient load balancing and resource distribution techniques are essential. Dynamic load balancing and resource allocation in cloud systems is necessary due to a number of reasons, but this is not an easy and straightforward task. The primary goal of dynamic…
Jui-Pin Yang, Hui-Kai Su, Francesco Longo
In this paper, we consider integrated resource management for fog networks inclusive of intelligent energy perception, service level agreement (SLA) planning and replication-based hotspot offload (RHO). In the beginning, we propose an intelligent energy perception scheme which dynamically classifies the fog nodes into…
Teresa W. Lo, Han James Choi, Dean Huang, Paul A. Wiggins
The processes of gene expression are inherently stochastic, even for essential genes required for growth. How does the cell maximize fitness in light of noise? To answer this question, we build a mathematical model to explore the trade-off between metabolic load and growth robustness. The model predicts novel…
Constantin Scholl, Kassian Kobert, Tomáš Flouri, Alexandros Stamatakis
Motivated by load balance issues in parallel calculations of the phylogenetic likelihood function, we recently introduced an approximation algorithm for efficiently distributing partitioned alignment data to a given number of CPUs. The goal is to balance the accumulated number of sites per CPU, and, at the same time…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Authors not listed
Machine learning models are transforming data-driven research across scientific disciplines, yet their deployment as accessible and reliable web services remains a significant challenge. We introduce the NERDD framework, a scalable, maintainable, and secure microservices platform designed to support the sustainable…
Audrey Le Veve, Nicolas Burghgraeve, Mathieu Genete, Christelle Lepers-Blassiau + 6 more
Balancing selection is a form of natural selection maintaining diversity at the sites it targets and at linked nucleotide sites. Due to selection favouring heterozygosity, it has the potential to facilitate the accumulation of a “sheltered” load of tightly linked recessive deleterious mutations. However, precisely…
Chonghuan Zhang, Adarsh Arun, Alexei Lapkin
Computer Aided Synthesis Planning (CASP) development of reaction routes requires understanding of complete reaction structures. However, most reactions in the current databases are missing reaction co-participants. Although reaction prediction and atom mapping tools can predict major reaction participants and trace…