Dynamic Time-slice Scaling for Addressing OS Problems Incurred by Main Memory DVFS in Intelligent System

2015 ◽  
Vol 20 (2) ◽  
pp. 157-168 ◽  
Author(s):  
Gangyong Jia ◽  
Guangjie Han ◽  
Jinfang Jiang ◽  
Aohan Li
Keyword(s):  
Intelligent System ◽  
Main Memory ◽  
Time Slice ◽  
Dynamic Time

scholarly journals Dynamic Time Slice Calculation for Round Robin Process Scheduling Using NOC

2015 ◽  
Vol 5 (6) ◽  
pp. 1480
Author(s):  
G Siva Nageswara Rao ◽  
N. Srinivasu ◽  
S.V.N. Srinivasu ◽  
G. Rama Koteswara Rao
Keyword(s):  
Scheduling Algorithm ◽  
Turnaround Time ◽  
Round Robin ◽  
Fine Tuning ◽  
New Method ◽  
Time Slice ◽  
Process Scheduling ◽  
Time Duration ◽  
Dynamic Time ◽  
Ready Queue

<p>Process scheduling means allocating a certain amount of CPU time to each of the user processes.  One of the popular scheduling algorithms is the “Round Robin” algorithm, which allows each and every process to utilize the CPU for short time duration.  Processes which finish executing during the time slice are removed from the ready queue.  Processes which do not complete execution during the specified time slice are removed from the front of the queue, and placed at the rear end of the queue. This paper presents an improvisation to the traditional round robin scheduling algorithm, by proposing a new method. The new method represents the time slice as a function of the burst time of the waiting process in the ready queue. Fixing the time slice for a process is a crucial factor, because it subsequently influences many performance parameters like turnaround time, waiting time, response time and the frequency of context switches.  Though the time slot is fixed for each process, this paper explores the fine-tuning of the time slice for processes which do not complete in the stipulated time allotted to them.</p>

scholarly journals Similarity approximation of Twitter Profiles

2021 ◽  
Author(s):  
Niloufar Shoeibi ◽  
Nastaran Shoeibi ◽  
Pablo Chamoso ◽  
Zakie Alizadehsani ◽  
Juan M. Corchado
Keyword(s):  
Social Media ◽  
Language Processing ◽  
User Satisfaction ◽  
Intelligent System ◽  
Media Analysis ◽  
Related Information ◽  
Social Media Platforms ◽  
Dynamic Time ◽  
Content Similarity ◽  
Processing Techniques

Social media platforms are entirely an undeniable part of the lifestyle from the past decade. Analyzing the information being shared is a crucial step to understand humans behavior. Social media analysis is aiming to guarantee a better experience for the user and risen user satisfaction. But first, it is necessary to know how and from which aspects to compare users with each other. In this paper, an intelligent system has been proposed to measure the similarity of Twitter profiles. For this, firstly, the timeline of each profile has been extracted using the official Twitter API. Then, all information is given to the proposed system. Next, in parallel, three aspects of a profile are derived. Behavioral ratios are time-series-related information showing the consistency and habits of the user. Dynamic time warping has been utilized for comparison of the behavioral ratios of two profiles. Next, Graph Network Analysis is used for monitoring the interactions of the user and its audience; for estimating the similarity of graphs, Jaccard similarity is used. Finally, for the Content similarity measurement, natural language processing techniques for preprocessing and TF-IDF for feature extraction are employed and then compared using the cosine similarity method. Results have presented the similarity level of different profiles. As the case study, people with the same interest show higher similarity. This way of comparison is helpful in many other areas. Also, it enables to find duplicate profiles; those are profiles with almost the same behavior and content.

Temperature-Aware Scheduling Based on Dynamic Time-Slice Scaling

2014 ◽  
pp. 310-322
Author(s):  
Gangyong Jia ◽  
Youwei Yuan ◽  
Jian Wan ◽  
Congfeng Jiang ◽  
Xi Li ◽  
...  
Keyword(s):  
Time Slice ◽  
Dynamic Time

Further research on dynamic time slice in ATM switch

1996 ◽  
Vol 28 (6) ◽  
pp. 789-798
Author(s):  
Lu Wei ◽  
Peter Hansson
Keyword(s):  
Time Slice ◽  
Atm Switch ◽  
Dynamic Time
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