Results 91 to 100 of about 277,718 (342)

Providing a load balancing method based on dragonfly optimization algorithm for resource allocation in cloud computing

International Journal of Networked and Distributed Computing (IJNDC), 2017
Nowadays cloud computing is being highly considered by many of researchers, organizations, governments and so on. According to processing happening inside of cloud computing, some of the most important problems and challenges in cloud computing are load ...
Zahra Amini, Mehrdad Maeen, Mohammad Reza Jahangir   +2 more
doaj   +1 more source

A distributed scheduling algorithm for heterogeneous real-time systems [PDF]

Much of the previous work on load balancing and scheduling in distributed environments was concerned with homogeneous systems and homogeneous loads.
El-Toweissy, Mohamed, Mukkamala, Ravi, Zeineldine, Osman   +2 more
core   +1 more source

Harmonized Cellular and Distributed Massive MIMO: Load Balancing and Scheduling

, 2015
Multi-tier networks with large-array base stations (BSs) that are able to operate in the "massive MIMO" regime are envisioned to play a key role in meeting the exploding wireless traffic demands. Operated over small cells with reciprocity-based training,
Bursalioglu, Ozgun Y., Papadopoulos, Haralabos C., Ye, Qiaoyang   +2 more
core   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

Optimal load scheduling of demand response in heavy industrial facility based on hierarchical optimization [PDF]

AIP Advances
With the increasing integration of renewable energy and intensifying fluctuations in industrial electricity demand, efficient load management of heavy industrial facilities has become a critical issue in the field of demand response.
Changlai Yu, Xueshuang Li, Jing Xie, Zhaoyu Sun, Tianyang Liu   +4 more
doaj   +1 more source

Effective hybrid search technique based constraint mixed-integer programming for smart home residential load scheduling. [PDF]

Sci Rep, 2023
Abdelhameed EH, Abdelraheem S, Mohamed YS, Diab AAZ.   +3 more
europepmc   +1 more source

An EPTAS for Scheduling on Unrelated Machines of Few Different Types

, 2017
In the classical problem of scheduling on unrelated parallel machines, a set of jobs has to be assigned to a set of machines. The jobs have a processing time depending on the machine and the goal is to minimize the makespan, that is the maximum machine ...
A Asadpour, C Imreh, DS Hochbaum, E Horowitz, F Eisenbrand, GJ Woeginger, HW Lenstra Jr, I Bezáková, JC Gehrke, JK Lenstra, K Jansen, L Chen, R Bleuse, R Kannan   +13 more
core   +1 more source

PARP inhibitors elicit distinct transcriptional programs in homologous recombination competent castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
PARP inhibitors are used to treat a small subset of prostate cancer patients. These studies reveal that PARP1 activity and expression are different between European American and African American prostate cancer tissue samples. Additionally, different PARP inhibitors cause unique and overlapping transcriptional changes, notably, p53 pathway upregulation.
Moriah L. Cunningham, Jasibel Vasquez‐Gonzalez, Samantha M. Barnada, Salome Tchotorlishvili, Latese Jones, Ryan Maguire, Genevieve Lewis, Kinza Rizwan, Jenny Deng, Salma Koachar, Drithi Patel, Hailey Shankle, Tessa Mulders, Namra Ajmal, Charalambos Solomides, Emad S. Alnemri, Teresa F. Alnemri, Ayesha A. Shafi, Leonard G. Gomella, Wm Kevin Kelly, Steven B. McMahon, Matthew J. Schiewer   +21 more
wiley   +1 more source

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source

Deep reinforcement learning for job scheduling on load-aware heterogeneous cluster

Journal of Big Data
In cluster computing, job scheduling enhances resource utilization and operational efficiency based on user requirements. Scheduling systems utilizing deep reinforcement learning have proven effective in simple scenarios, such as homogeneous clusters and
Zhenjie Yao, Li Ding, He Zhang, Huiqiang Li, Lan Chen, Zhiqiang Li   +5 more
doaj   +1 more source