Advance Resource Reservation based on Context Aware Workload
Main Article Content
Abstract
Cloud computing gives the facility of provisioning resources on rent in pay as-you-go fashion, due to which resource demand changes dynamically over time. Such type of dynamic resource demand leads to mainly two types of problems such as Over-Provisioning and Under-Provisioning. The former leads to violations of Service Level Objectives (SLOs) whereas latter leads to wastage of resources, as the system is not being used to full capacity all the time. Also some cloud having limited number of resources cannot satisfy all the requests at a time. To handle such scenario advance reservation techniques are used, so that the resources available could be used efficiently with minimum possible provisioning cost and at the same time satisfying service level objectives. In the proposed technique, history of resource usage profile of tasks is maintained. For each task submitted to cloud, pattern finding technique is used a task with similar resource usage requirement from history of resource usage profile. After that check-pointing mechanism is used to monitor completion of new task based on resource usage profile of task found in history. Such type of monitoring helps in order to estimate the amount resources that will be released in short duration and based on that resources can be reserved in advance as per user’s request. Hence problem of under as well as over provisioning could be solved up to great extent at the same time meeting the Service Level Objectives. Keywords: Resource Provisioning, Check-pointing, Advance Reservation, Profiling, K-means clustering.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.