24 papers · ranked by Valyu relevance
Yongze Ma, Yanqing Zhao, Yi Hu, Xingyu He + 2 more
Highlights What are the main findings?1. Developed a cloud-edge-end collaborative framework that jointly optimizes task offloading and resource allocation for IIoT systems with dynamic task priorities. 2. Designed a priority-gated attention-enhanced MAPPO algorithm to capture priority-related features and improve…
Swarna Bindu Chetty, Hamed Ahmadi, Avishek Nag
—The Network Function Virtualization (NFV)- Resource Allocation (RA) problem is NP-Hard. Traditional deployment methods revealed the existence of a starvation problem, which the researchers failed to recognize. Basically, starvation here, means the longer waiting times and eventual rejection of low-priority services…
Nan Wang, Michail Matthaiou, Dimitrios S. Nikolopoulos, Blesson Varghese
'Blesson Varghese'] Abstract—Multi-tenancy in resource-constrained environments is a key challenge in Edge computing. In this paper, we develop 'DYVERSE: DYnamic VERtical Scaling in Edge' environments, which is the first light-weight and dynamic vertical scaling mechanism for managing resources allocated to…
Ivan Padezhki, Juan Linde-Domingo, Carlos González-García
Prior work has shown that control brain regions encode upcoming novel instructed actions. Similarly, visual working memory (WM) representations can reflect different priority states. However, it remains unknown whether the priority status of WM-guided novel actions similarly modulates their neural coding format, and…
Manu K. Gupta, N. Hemachandra, Jayendran Venkateswaran
Completeness of a dynamic priority scheduling scheme is of fundamental importance for the optimal control of queues in areas as diverse as computer communications, communication networks, supply chains and manufacturing systems. Our first main contribution is to identify the mean waiting time completeness as a unifying…
Khan, Anwar Ahmed, Nait-Abdesselam, Farid + 2 more
—Next Generation Media Access Control (NGMA) techniques have been designed to support diverse applications with heterogeneous priorities. In industrial cyber-physical systems (CPS), the number of connected devices and systems is expected to grow significantly, demanding dependable and prompt network services. In this…
Yufeng Ye, Xiangyin Zhang, Lanfeng Xie, Kaiyu Qin
Physical resource allocation strategy is a key factor affecting the performance of a mobile ad hoc network (MANET), which serves as a network model widely used in the sensor and detection field. For various perceived service information, it is significant for the allocation strategy to adapt to the dynamic service…
Muhammad Arif Butt, Muhammad Akram
We present a new intuitionistic fuzzy rule-based decision-making system based on intuitionistic fuzzy sets for a process scheduler of a batch operating system. Our proposed intuitionistic fuzzy scheduling algorithm, inputs the nice value and burst time of all available processes in the ready queue, intuitionistically…
Damian Koevoet, Christoph Strauch, Marnix Naber, Stefan Van der Stigchel
Adaptive behavior necessitates the prioritization of the most relevant information in the environment (external) and in memory (internal). Internal prioritization is known to guide the selection of external sensory input, but the reverse may also be possible: Does the environment guide the prioritization of memorized…
Yash P. Gupta, Kamalakar Karlapalem
A queue is required when a service provider is not able to handle jobs arriving over the time. In a highly flexible and dynamic environment, some jobs might demand for faster execution at run-time especially when the resources are limited and the jobs are competing for acquiring resources. A user might demand for speed…
Zhiqiang Xie, Xia Shao, Yu Xin, Xiaosong Hu
To solve the problem of task scheduling in the cloud computing system, this paper proposes a scheduling algorithm for cloud computing based on the driver of dynamic essential path (DDEP). This algorithm applies a predecessor-task layer priority strategy to solve the problem of constraint relations among task nodes. The…
Heng-Xing Zou, Volker H. W. Rudolf
Although priority effects play a key role in structuring natural communities, considerable confusion and uncertainty remain about when and how they affect different ecological systems. Reviewing previous empirical studies, we show that most of the confusion arises because the term priority effect is often used…
Iosu Paradinas, Joan Giménez, David Conesa, Antonio López-Quílez + 1 more
Fishery restricted areas (FRAs) are pivotal for the mitigation of fishery impacts, but the designation of optimum FRAs is complex, and currently there is no quantitative guideline to assess the spatio-temporal variability of conservation priority areas. Fishery systems are naturally dynamic, and shifts may at two…
Sourav Kumar Bhoi, Sanjaya Kumar Panda, Debashee Tarai
Round Robin (RR) Algorithm is considered as optimal in time shared environment because the static time is equally shared among the processes. If the time quantum taken is static then it undergoes degradation of the CPU performance and leads to so many context switches. In this paper, we have proposed a new effective…
Amar Ranjan Dash, Sandipta Kumar Sahu
CPU scheduling is one of the most crucial operations performed by operating systems. Different conventional algorithms like FCFS, SJF, Priority, and RR (Round Robin) are available for CPU Scheduling. The effectiveness of Priority and Round Robin scheduling algorithm completely depends on selection of priority features…
Ali Paikan, Daniele E. Domenichelli, Lorenzo Natale
Real-Time communication is important in distributed applications when timing constraints on task execution and data processing play a fundamental role. Software engineering does not yet specify how real-time properties should be integrated into a publish/subscribe middleware. This article describes an approach for…
Xia Shao, Zhiqiang Xie, Yu Xin, Jing Yang + 1 more
To solve the problem of the deadline-constrained task scheduling in the cloud computing system, this paper proposes a deadline-constrained scheduling algorithm for cloud computing based on the driver of dynamic essential path (Deadline-DDEP). According to the changes of the dynamic essential path of each task node in…
Po-Ju Ke, Andrew D. Letten
Priority effects encompass a broad suite of ecological phenomena. Several studies have suggested reframing priority effects around the stabilizing and equalizing concepts of coexistence theory. We show that the only compatible priority effects are those characterized by positive frequency dependence.
Tatsuya Yoshizawa, Shoichi Ishida, Tomohiro Sato, Masateru Ohta + 2 more
Molecular design using data-driven generative models has emerged as a promising technology, impacting various fields such as drug discovery and the development of functional materials. However, this approach is often susceptible to optimization failure due to reward hacking, where prediction models fail to accurately…
Nicholas W Barendregt, Joshua I Gold, Krešimir Josić, Zachary P Kilpatrick
Models based on normative principles have played a major role in our understanding of how the brain forms decisions. However, these models have typically been derived for simple, stable environments, and their relevance to decisions under more naturalistic, dynamic conditions is unclear. We previously derived a…
Authors not listed
The functionality of viral proteases, such as those from Dengue Virus (DENV) and SARS-CoV-2, is intrinsically linked to their conformational dynamics. While Molecular Dynamics (MD) is a powerful tool to study these motions, its computational cost limits large-scale screening. Here, we present a rapid analysis of the…
Lukas Küng, Silvan Aeschlimann, Charithea Charalambous, Fergus McIlwaine + 8 more
Direct air carbon capture and storage (DACCS) involves a set of approaches for capturing CO2 directly from the air and its subsequent long-term storage. DACCS is at an early stage of technical development and currently faces a variety of challenges, including high cost and energy requirements. Building on publicly…
Lukas Küng, Silvan Aeschlimann, Charithea Charalambous, Fergus McIlwaine + 8 more
Direct air carbon capture and storage (DACCS) involves a set of approaches for capturing CO2 directly from the air and its subsequent long-term storage. DACCS is at an early stage of technical development and currently faces a variety of challenges, including high cost and energy requirements. Building on publicly…
Elena Zamaraeva, Christopher M. Collins, Dmytro Antypov, Vladimir V. Gusev + 6 more
Crystal Structure Prediction (CSP) is a fundamental computational problem in materials science. Basin-hopping is a prominent CSP method that combines global Monte Carlo sampling to search over candidate trial structures with local energy minimisation of these candidates. The sampling uses a stochastic policy to…