Citations


Contact Us

For Marketing, Sales and Subscriptions Inquiries
Rockefeller Center, 45 Rockefeller Plaza
20th Flr Unit #5, New York, NY 10111
United States

Conference List

Review of Computer Engineering Research

June 2016, Volume 3, 1, pp 25-34

To Convalesce Task Scheduling in a Decentralized Cloud Computing Environment

Arun Sangwan

,

Gaurav Kumar

,

Sorabh Gupta

Arun Sangwan 1 ,

Gaurav Kumar 1 Sorabh Gupta 1 
  1. Department of Information Technology, Panipat Institute of Engineering & Technology, Panipat, Haryana, India 1

Pages: 25-34

DOI: 10.18488/journal.76/2016.3.1/76.1.25.34

Share :


Abstract:

With the contempo slump and the immutable crush to deliver more services at a lower cost. Delivery model offers lower cost, and can make quick construction services. IT economics are changing rapidly, and large companies, in particular, looking for new ways to secure capital at a lower cost to maintain the viability of the company. Task scheduling problems are first class related to the overall efficiency of cloud computing facilities. Most developed algorithms for automation planning approach in one parameter of quality of service (QoS). However, if we consider more than one QoS parameter then the problem becomes more challenging. To address the problem, we need to introduce a scheduling strategy for multi-workflows with multiple QoS constrained for cloud computing. We need to introduce an optimized algorithm for task scheduling in cloud computing and its implementation. Furthermore, Load Balancing is a method to distribute workload across one or more servers, network interfaces, hard drives, or other computing resources. Use these components with the load balancing, on the one chamber, grow well in redundancy.

Contribution/ Originality
This study contributes in the existing literature of how to improve task scheduling. In this paper we allocate appropriate services for processing the workflow tasks and schedule the tasks on the services according to the requirements and the cloud environment. Efficient task scheduling method can meet users' demands, and Improve the utilization always come across a good deal of the world environment.

Keywords:

Cloud computing, Cloud task scheduler, Load balancing, Virtualization.

Video:

Reference:

  1. M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, A. Stoica, and Zaharia, "Above the clouds: A berkeley view of cloud computing," UC Berkeley Reliable Adaptive Distributed Systems Laboratory, Technical Report No. UCB/EECS-2009-28. Available: http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.html. [Accessed Feb 2009], 2009.
  2. M. Armbrust, A. Fox, R. Griffith, A. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, A. Stoica, and Zaharia, "A view of cloud computing," Communications of the ACM, vol. 53, pp. 50-58, 2010.
  3. W. Brian Arthur, "Competing technologies, increasing returns, and lock-in by historical events," The Economic Journal, vol. 99, pp. 116-131, 1989.
  4. J. Brodkin, "Gartner: Seven cloud-computing security risks. Network world." Available: http://folk.ntnu.no/oztarman/tdt60/cloud%20computing/3%20Cloud_Computing_Security_Risk.pdf[Visited06-04-2011, 2008.
  5. R. Buyva and M. Murshed, "Grid sim: A toolkit for the modeling and simulation of distributed resource management and scheduling for grid computing. Concurrency and computation," Practice and Experience, vol. 14, pp. 1175-1220, 2003.
  6. Buyya, "Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility," Future Generation Computer Systems, vol. 25, pp. 599-616, 2009.
  7. R. Buyya, R. Ranjan, and R. N. Calheiros, "Modeling and simulation of scalable cloud computing environments and the cloud sim toolkit: challenges and opportunities. Siglm: Signature-driven load management for cloud computing infrastructures," presented at the IEEE, International Conference, 2009.
  8. N. B. Sarfraz and A. B. Mervat, "Exploit of open source hypervisors for managing the virtual machines on cloud," (IJAEST) International Journal of Advanced Engineering Sciences and Technologies, vol. 9, pp. 055 - 060, 2011.
  9. T. Sandeep, "Tasks scheduling optimization for the cloud computing systems," (IJAEST) International Journal of Advanced Engineering Sciences and Technologies, vol. 5, pp. 111 – 115, 2011.
  10. S. C. Chengdu, "A multiple QoS constrained scheduling strategy of multiple workflows for cloud computing," presented at the International Symposium on Parallel and Distributed Processing with Applications, IEEE, 2009.
  11. C. Qi, "An optimized algorithm for task scheduling based on activity based costing in cloud computing," presented at the IEEE Explore, Beijing Conference, 2009.
  12. D. Anderson, "BOINC: A system for public-resource computing and storage," in Proceedings of the Fifth IEEE/ACM International Workshop on Grid Computing, 2004, pp. 4–10.

Statistics:

Google Scholor ideas Microsoft Academic Search bing Google Scholor

Funding:

Competing Interests:

Acknowledgement:


Related Article

( 1 ) Vlsi Architecture of Mimo Detector Using Fixed Complexity Sphere Decoding
( 2 ) Space Technology to Monitor the Tornado That Hit Brahmanbaria Dist. of Bangladesh in 2013 and Damaged A Lot
( 3 ) Meteorological and Hydrological Disasters Bangladesh Experiences Every Year Monitored Through Space Technology
( 4 ) An Unified Approach by Implementing the Secured Authentication Protocol Scheme in Wireless Sensor Networks
( 5 ) Classification and Identification of Risk Management Techniques for Mitigating Risks with Factor Analysis Technique in Software Risk Management
( 6 ) RLS Fixed-Lag Smoother Using Covariance Information Based on Innovation Approach in Linear Continuous Stochastic Systems
( 7 ) Performance Analysis of Routing Protocols for CBR Traffic in Mobile Ad-Hoc Networks
( 8 ) To Convalesce Task Scheduling in a Decentralized Cloud Computing Environment
( 9 ) Lossless Image Compression and Decompression to Improve the PSNR and MSE Values Using Architecture
( 10 ) A Comprehensive Review of Semiconductor-Type Gas Sensors for Environmental Monitoring
( 11 ) Analysis of Suitable Security Protocols for Apply a Model of Identity in the Civil Registry of Ecuador
( 12 ) PAPR Reduction Using Eight Factors Rotating Phase Shift Technique Based on Local Search Algorithm in OFDM
( 13 ) Fault Tolerance in Real Time Distributed System
( 14 ) Development of Facilitated Participatory Spatial Information System for Selected Urban Management Services
( 15 ) Behavioural Intention to Use Mobile Apps by Gen Y in Malaysia
( 16 ) Design of Automated Departmental Lecture Timetable System
( 17 ) Design of Automated Departmental Lecture Timetable System
( 18 ) Speed Control of Induction Motor on C2000 DSP Platform
( 19 ) A Case Study in Teaching: The Factors Determining of Assessmenting the Competence of Technology-Based
( 20 ) Intensive Patient Monitoring Using LabVIEW
( 21 ) Design and Analysis of Compact Microstrip Circular Resonator with Slotted in Ground Plane as a Grain Moisture Sensor
( 22 ) Dynamic Modelling of 3-RUS Spatial Parallel Robot Manipulator
( 23 ) Investigating Factors Affecting the Adoption of Smartphone Technology by Elderly People In Iraq
( 24 ) Quality Assessment and Monitoring of Networks Using Passive Technique
( 25 ) Factors Influencing Cloud Computing Adoption-Compared Review and A 4-M Recommendation
( 28 ) Real-Time Workload Scheduling (RTWS) Algorithm for Cloud