21 papers · ranked by Valyu relevance
Muhammad Usman Sana, Zhanli Li, Xiangjie Kong
In the last decade, cloud computing becomes the most demanding platform to resolve issues and manage requests across the Internet. Cloud computing takes along terrific opportunities to run cost-effective scientific workflows without the requirement of possessing any set-up for customers. It makes available virtually…
Shanky Goyal, Shashi Bhushan, Yogesh Kumar, Abu ul Hassan S. Rana + 3 more
'Muhammad Raheel Bhutta' 'Muhammad Fazal Ijaz' 'Youngdoo Son'] Cloud computing offers the services to access, manipulate and configure data online over the web. The cloud term refers to an internet network which is remotely available and accessible at anytime from anywhere. Cloud computing is undoubtedly an innovation…
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…
Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash + 5 more
'Tiansheng Yang' 'Rajkumar Singh Rathore' 'Lu Wang' 'Sabeen Tahir' 'Sheikh Tahir Bakhsh'] In general, edge computing networks are based on a distributed computing environment and hence, present some difficulties to obtain an appropriate load balancing, especially under dynamic workload and limited resources. The…
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…
Zhiyuan Yao, Zihan Ding, Thomas Clausen
Network load balancers are central components in data centers, that distributes workloads across multiple servers and thereby contribute to offering scalable services. However, when load balancers operate in dynamic environments with limited monitoring of application server loads, they rely on heuristic algorithms that…
Nevin Vunka Jungum, Nawaz Mohamudally, Nimal Nissanke
Code offloading refers to partitioning software and migrating the mobile codes to other computational entities for processing. Often when a large number of mobile codes need to be distributed to many heterogenous hosts, this can easily lead to poor system performance if one host gets too many mobile codes to process…
Marios Avgeris, Dimitrios Spatharakis, Dimitrios Dechouniotis, Aris Leivadeas + 3 more
Mobile applications are progressively becoming more sophisticated and complex, increasing their computational requirements. Traditional offloading approaches that use exclusively the Cloud infrastructure are now deemed unsuitable due to the inherent associated delay. Edge Computing can address most of the Cloud…
Harisankar Sadasivan, Milos Maric, Eric Dawson, Vishanth Iyer + 2 more
Long read sequencing technology is becoming increasingly popular for Precision Medicine applications like variant calling from Whole Genome Sequencing (WGS) and for metagenomics applications like microbial abundance estimation. Minimap2 is the state-of-the-art aligner and mapper used by the leading long read sequencing…
Yousef Sanjalawe, Salam Fraihat, Salam Al-E’mari, Mosleh Abualhaj + 3 more
'Sharif Makhadmeh' 'Emran Alzubi' 'Davide La Torre'] The increasing dependence on cloud computing as a cornerstone of modern technological infrastructures has introduced significant challenges in resource management. Traditional load-balancing techniques often prove inadequate in addressing cloud environments’ dynamic…
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…
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…
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…
Chukwuneke Chiamaka Ijeoma, Prof. Inyiama, C. Hyacinth, Amaefule Samuel + 2 more
'Amaefule Samuel' 'Onyesolu Moses Okechukwu' 'Asogwa Doris Chinedu'] Abstract: In cloud computing environment, load balancing is a key issue which is required to distribute the dynamic workload over multiple machines to make certain that no single machine is overloaded. In recent research, many organizations lose…
Juechu Dong, Xueshen Liu, Harisankar Sadasivan, Sriranjani Sitaraman + 1 more
Long-read DNA sequencing is becoming increasingly popular for genetic diagnostics. Minimap2 is the state-of-the-art long-read aligner. However, Minimap2’s chaining step is slow on the CPU and takes 40-68% of the time especially for long DNA reads. Prior works in accelerating Minimap2 either lose mapping accuracy, are…
Ayman E. Khedr, Amira M. Idrees, Rashed Salem, Lerina Aversano
In the educational field, the system performance, as well as the stakeholders’ satisfaction, are considered a bottleneck in the e-learning system due to the high number of users who are represented in the educational system’s stakeholders including instructors and students. On the other hand, successful resource…
Quadri Adewale, George Panoutsos
Previous studies have shown that electroencephalogram (EEG) can be used in estimating mental workload. However, developing fast and reliable models for cross-task, cross-subject and cross-session classifications of workload remains a challenge. In this study, a wireless Emotiv EPOC headset was used to evaluate workload…
Alka Rachel John, Avinash K Singh, Tien-Thong Nguyen Do, Ami Eidels + 12 more
The surge in air traffic increases the workload experienced by air traffic controllers (ATC) while they organise traffic-flow and prevent conflicts between aircraft. Even though several factors influence the complexity of ATC tasks, keeping track of the aircraft and preventing collision are the most crucial. We have…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Xiaoguang Liu, Lu Shi, Cong Ye, Yangyang Li + 1 more
In the actual operation task, the workload of the oceanaut is mainly mental workload. For the oceanaut, too high or too low mental workload will significantly reduce work efficiency and even lead to major safety accidents. Classification of mental workload of the oceanaut in operational task research is one of the key…