Prediction of Task Execution Time in Cloud Computing

2021 ◽  
Author(s):  
Saravanan C ◽  
Mahesh T R ◽  
Vivek V ◽  
Sindhu Madhuri G ◽  
Shashikala H K ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Execution Time ◽  
Task Execution ◽  
Task Execution Time

scholarly journals Estimated Interval-Based Checkpointing (EIC) on Spot Instances in Cloud Computing

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Daeyong Jung ◽  
JongBeom Lim ◽  
Heonchang Yu ◽  
Taeweon Suh
Keyword(s):  
Cloud Computing ◽  
Execution Time ◽  
Service Providers ◽  
Moving Average ◽  
Task Execution ◽  
Computing Services ◽  
Task Execution Time ◽  
Cloud Computing Services ◽  
Time Fall ◽  
The Cost

In cloud computing, users can rent computing resources from service providers according to their demand. Spot instances are unreliable resources provided by cloud computing services at low monetary cost. When users perform tasks on spot instances, there is an inevitable risk of failures that causes the delay of task execution time, resulting in a serious deterioration of quality of service (QoS). To deal with the problem on spot instances, we propose an estimated interval-based checkpointing (EIC) using weighted moving average. Our scheme sets the thresholds of price and execution time based on history. Whenever the actual price and the execution time cross over the thresholds, the system saves the state of spot instances. The Bollinger Bands is adopted to inform the ranges of estimated cost and execution time for user's discretion. The simulation results reveal that, compared to the HBC and REC, the EIC reduces the number of checkpoints and the rollback time. Consequently, the task execution time is decreased with EIC by HBC and REC. The EIC also provides the benefit of the cost reduction by HBC and REC, on average. We also found that the actual cost and execution time fall within the estimated ranges suggested by the Bollinger Bands.

scholarly journals Data-Intensive Task Scheduling for Heterogeneous Big Data Analytics in IoT System

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4508
Author(s):  
Xin Li ◽  
Liangyuan Wang ◽  
Jemal H. Abawajy ◽  
Xiaolin Qin ◽  
Giovanni Pau ◽  
...  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Task Scheduling ◽  
Execution Time ◽  
Data Centers ◽  
Big Data Analysis ◽  
Data Locality ◽  
Data Migration ◽  
Task Execution ◽  
Task Execution Time

Efficient big data analysis is critical to support applications or services in Internet of Things (IoT) system, especially for the time-intensive services. Hence, the data center may host heterogeneous big data analysis tasks for multiple IoT systems. It is a challenging problem since the data centers usually need to schedule a large number of periodic or online tasks in a short time. In this paper, we investigate the heterogeneous task scheduling problem to reduce the global task execution time, which is also an efficient method to reduce energy consumption for data centers. We establish the task execution for heterogeneous tasks respectively based on the data locality feature, which also indicate the relationship among the tasks, data blocks and servers. We propose a heterogeneous task scheduling algorithm with data migration. The core idea of the algorithm is to maximize the efficiency by comparing the cost between remote task execution and data migration, which could improve the data locality and reduce task execution time. We conduct extensive simulations and the experimental results show that our algorithm has better performance than the traditional methods, and data migration actually works to reduce th overall task execution time. The algorithm also shows acceptable fairness for the heterogeneous tasks.

A web browsing interface for people with severe speech and motor impairment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manjira Sinha ◽  
Tirthankar Dasgupta
Keyword(s):  
Execution Time ◽  
Motor Impairment ◽  
Cognitive Effort ◽  
Motor Disorder ◽  
Web Browsing ◽  
Task Execution ◽  
Content Type ◽  
Task Execution Time ◽  
Scanning Mechanism ◽  
The Web

Purpose The Web has become an indispensable medium used by people across the world for education, information, entertainment, social interaction as well as for various daily activities involving shopping and employment-related tasks. It is therefore becoming increasingly essential that the Web must be accessible to all people to provide equal access and equal opportunity. This is specifically more important for people with various kind of disabilities. Several initiatives such as development of Web accessibility guidelines, tools and technologies have been undertaken to make the Web usable for people with different disabilities. However, only a handful of them are aimed at people with Severe Speech and Motor Impairment (SSMI). This paper aims to present a Web browsing interface for people with severe speech and motor impairment. Design/methodology/approach The browser allows easy dissemination of information through World Wide Web for people with SSMI. The browser is augmented with both automatic as well as manual scanning mechanisms through which a motor disorder person can access the browser graphical user interface (GUI). Further, the browser provides an intelligent content scanning mechanism through which the Web contents can be accessed with less time and cognitive effort. Along with the desktop version, WebSanyog is successfully ported on Android-based tablets to make the system portable. Findings The system has been exhaustively field tested by people with SSMI. The browser has been deployed at the Indian Institute of Cerebral Palsy (IICP), Kolkata. The performance of the browser has been measured in terms of three parameters: The Task execution time (TET); Error rates analysis (ER); and Overall usability score by the subject. The evaluation results suggests that the proposed Web browsing interface is effective in terms of task execution time, cognitive effort and overall user satisfaction. Originality/value The browser GUI is integrated with an automatic scanning mechanism as an alternate way to access and navigate through Web pages, instead of using keyboard and mouse. The browser provides novel content access mechanisms that makes navigating through Web page contents like links, images and embedded videos easier and faster. To facilitate text entry, the browser provides two different options, namely, the predictive virtual scanning keyboard and a novel icon-based query entry scheme that allows generating search queries through the selection of multiple icons.

Dynamic Scheduling Algorithm With Task Execution Time Estimation Method In Cloud

2018 ◽  
Vol 6 (3) ◽  
pp. 375-379
Author(s):  
Babita Rani Radwal ◽  
◽  
Sanjay Kumar ◽  
Keyword(s):  
Execution Time ◽  
Dynamic Scheduling ◽  
Scheduling Algorithm ◽  
Estimation Method ◽  
Time Estimation ◽  
Task Execution ◽  
Task Execution Time

Research of task execution time based on host load

2009 ◽  
Vol 29 (10) ◽  
pp. 2617-2619 ◽  
Author(s):  
Yang TAO ◽  
Tao HUANG ◽  
Yi TANG
Keyword(s):  
Execution Time ◽  
Task Execution ◽  
Task Execution Time ◽  
Host Load

scholarly journals Predicting Workflow Task Execution Time in the Cloud Using A Two-Stage Machine Learning Approach

2020 ◽  
Vol 8 (1) ◽  
pp. 256-268 ◽  
Author(s):  
Thanh-Phuong Pham ◽  
Juan J. Durillo ◽  
Thomas Fahringer
Keyword(s):  
Machine Learning ◽  
Execution Time ◽  
Learning Approach ◽  
Task Execution ◽  
Two Stage ◽  
Machine Learning Approach ◽  
Task Execution Time
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