22 papers · ranked by Valyu relevance
Qiu Dishan, He Chuan, Liu Jin, Ma Manhao
Focused on the dynamic scheduling problem for earth-observing satellites (EOS), an integer programming model is constructed after analyzing the main constraints. The rolling horizon (RH) strategy is proposed according to the independent arriving time and deadline of the imaging tasks. This strategy is designed with a…
J. Shanthini, T. Kalaikumaran, S. Karthik
Grid computing facilitates the resource sharing through the administrative domains which are geographically distributed. Scheduling in a distributed heterogeneous environment is intrinsically very hard because of the heterogeneous nature of resource collection. Makespan and tardiness are two different measures of…
Mihai-Victor Micea, Cristina-Sorina Stangaciu, Valentin Stangaciu, Daniel-Ioan Curiac
'Daniel-Ioan Curiac'] Sensor networks become increasingly a key technology for complex control applications. Their potential use in safety- and time-critical domains has raised the need for task scheduling mechanisms specially adapted to sensor node specific requirements, often materialized in predictable jitter-less…
Harshadkumar B. Prajapati, Vipul A. Shah
—Scheduling in Grid computing has been active area of research since its beginning. However, beginners find very difficult to understand related concepts due to a large learning curve of Grid computing. Thus, there is a need of concise understanding of scheduling in Grid computing area. This paper strives to present…
Authors not listed
This paper presents GLAS (Git-based Lab Automated Scheduler or Get Lab Automation Simplified), an open-source, robust, and highly expandable Git-based architecture designed for laboratory automation. GLAS can be deployed in both partially and fully automated experimental science laboratories, enabling the development…
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…
Neetu Goel, Rajesh Garg
Developing CPU scheduling algorithms and understanding their impact in practice can be difficult and time consuming due to the need to modify and test operating system kernel code and measure the resulting performance on a consistent workload of real applications. As processor is the important resource, CPU scheduling…
Nodari Vakhania, Frank Werner, Kevin Johedan Ramírez-Fuentes, Víctor Pacheco-Valencia
algorithms, complexity and approximability Authors: ['Nodari Vakhania' 'Frank Werner' 'Kevin Johedan Ramírez-Fuentes' 'Víctor Pacheco-Valencia'] Since the publication of the first scheduling paper in 1954, a huge number of works dealing with different types of single machine problems appeared. They addressed many…
Youngmin Kim, Ki-Seong Lee, Chan-Gun Lee
In wireless sensor networks (WSNs), sensor nodes are deployed for collecting and analyzing data. These nodes use limited energy batteries for easy deployment and low cost. The use of limited energy batteries is closely related to the lifetime of the sensor nodes when using wireless sensor networks. Efficient-energy…
Luiz F. Bittencourt, Alfredo Goldman, Edmundo R. M. Madeira, Nelson L. S. da Fonseca + 1 more
'Nelson L. S. da Fonseca' 'Rizos Sakellariou'] Scheduling is essentially a decision-making process that enables resource sharing among a number of activities by determining their execution order on the set of available resources. The emergence of distributed systems brought new challenges on scheduling in computer…
Jaekwon Lee, Seung Yeob Shin, Shiva Nejati, Lionel C. Briand
In real-time systems, priorities assigned to real-time tasks determine the order of task executions, by relying on an underlying task scheduling policy. Assigning optimal priority values to tasks is critical to allow the tasks to complete their executions while maximizing safety margins from their specified deadlines.…
Neetu Goel, Rajesh Garg
CPU scheduling has valiant effect on resource utilization as well as overall quality of the system. Round Robin algorithm performs optimally in timeshared systems, but it performs more number of context switches, larger waiting time and larger response time. The devised tool "OMDRRS" was utilized to simulate the four…
Authors not listed
Automated chemistry platforms hold the potential to enable large-scale organic synthesis campaigns, such as producing a library of compounds for biological evaluation. The efficiency of such platforms will depend on the schedule according to which the synthesis operations are executed. In this work, we study the…
Jan Karel Lenstra, David B. Shmoys
In the winter of 1976, Alexander Rinnooy Kan and Jan Karel Lenstra defended their PhD theses at the University of Amsterdam. Gene Lawler was on their committees. It was a natural idea to turn the theses into a textbook on scheduling. They set out to compile a survey with Ron Graham (1979), but progress on the book was…
Peter Kraus, Edan Bainglass, Francisco F. Ramirez, Enea Svaluto-Ferro + 7 more
Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by a full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its use in a case study of automated battery cycling. We…
Samuel Lampa, Martin Dahlö, Jonathan Alvarsson, Ola Spjuth
The complex nature of biological data has driven the development of specialized software tools. Scientific workflow management systems simplify the assembly of such tools into pipelines and assist with job automation and aids reproducibility of analyses. Many contemporary workflow tools are specialized and not designed…
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
Background: Pharmaceutical batch production faces significant scheduling challenges due to operational uncertainties including equipment failures, yield variability, and demand fluctuations. While scheduling heuristics are widely used in practice, their comparative performance under varying uncertainty conditions…
Richard E. Daws, Gregory Scott, Eyal Soreq, Robert Leech + 2 more
We developed two novel self-ordered switching (SOS) fMRI paradigms to investigate how human behaviour and underlying network resources are optimised when learning to perform complex tasks with multiple goals. SOS was performed with detailed feedback and minimal pretraining (study 1) or with minimal feedback and…
Jen Lewis, Kevin Gurney
The performance of routine action sequences constitutes a significant proportion of human behaviour, and has received much attention in the cognitive psychology literature. However, a neuroanatomically plausible explanation of the cognitive processes underlying this routine sequential behaviour has hitherto remained…
Nathalie Liegel, Daniel Schneider, Edmund Wascher, Stefan Arnau
Most neuroscientific studies investigating mental effort apply unspecific effort allocation paradigms. In contrast, the present EEG study targets specific effort allocation during task prioritization. Twenty-eight participants performed a cued number classification task during the retention interval of a working memory…
Ausaf A Farooqui, Tom Manly
Accounts of hierarchical cognition suggest that extended task episodes as one task entity and not individually execute their component acts. Such hierarchical execution is frequently thought to occur by first instantiating a sequence representation in working memory that then controls the identity and sequence of…