Abstract
Cloud computing raises capacity by providing resources as a service; there is no need to purchase new resources. Popularity of cloud computing systems has been increasing, which rents computing resources on user demand. Many users must be provided services by cloud simultaneously as per their requirements. In this, it is difficult for the cloud to process requests of all and allocates resources to the users in a mutually optimal way at the same time. So, this paper is a review of certain papers on request processing and resource allocation techniques or algorithms in cloud computing and proposes a new user defined dynamic priority scheduling algorithm.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Boloor, K., Chirkova, R., Viniotis, Y.: Dynamic request allocation and scheduling for context aware applications subject to a percentile response time SLA in a distributed cloud. In: 2nd IEEE International Conference on Cloud Computing Technology and Science, pp. 464–472 (2010)
Nan, X., He, Y., Guan, L.: Optimal resource allocation for multimedia cloud in priority service scheme. In: International Symposium on Circuits and Systems (ISCAS), pp. 1111–1114. IEEE (2012)
Li, L.: An optimistic differentiated service job scheduling system for cloud computing service users and providers. In: IEEE 3rd International Conference on Multimedia and Ubiquitous Engineering, pp. 295–299 (2009)
Xu, M., Cui, L., Wang, H., Bi, Y.: A multiple QoS constrained scheduling strategy of multiple workflows for cloud computing. In: IEEE International Symposium on Parallel and Distributed Processing with Applications, pp. 629–634 (2009)
Lee, Z., Wang, Y., Zhou, W.: A dynamic priority scheduling algorithm on service request scheduling in cloud computing. In: IEEE International Conference on Electronic & Mechanical Engineering and Information Technology, pp. 4665–4669 (2011)
Warneke, D., Kao, O.: Exploiting dynamic resource allocation for efficient parallel data processing in the cloud. In: IEEE Transactions on Parallel and Distributed systems, pp. 985–997 (2011)
Fard, H.M., Prodan, R., Fahringer, T.: A truthful dynamic workflow scheduling mechanism for commercial multi-cloud environments. In: IEEE Transactions on Parallel and Distributed systems (2012)
Liu, H., Xu, D., Miao, H.K.:. Ant colony optimization based service flow scheduling with various QoS requirements in cloud computing. In: IEEE First ACIS International Symposium on Software and Network Engineering, pp. 53–58 (2011)
Pandey, S., Wu, L., Guru, S.M., Buyya, R.: A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments. In: 24th IEEE International Conference on Advanced Information Networking and Applications, pp. 400–407 (2010)
Tripathy, L., Patra, R.R.: Scheduling in cloud computing. In: IJCCSA, pp. 21–27 (2014)
Tayal, S.: Tasks scheduling optimization for the cloud computing system. In: IJAEST, pp. 11–15 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Swati Khemka, Mehul Mahrishi (2016). Request Allocation and Resource Management Techniques in Cloud Computing. In: Afzalpulkar, N., Srivastava, V., Singh, G., Bhatnagar, D. (eds) Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2638-3_95
Download citation
DOI: https://doi.org/10.1007/978-81-322-2638-3_95
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2636-9
Online ISBN: 978-81-322-2638-3
eBook Packages: EngineeringEngineering (R0)