NDLI: Dynamic resource allocation using auto-negotiation in Haizea

Content Provider	IEEE Xplore Digital Library
Author	Chokhani, P. Somani, G.
Copyright Year	2013
Description	Author affiliation: Comput. Sci. & Eng., LNMIIT, Jaipur, India (Chokhani, P.) \|\| Dept. of Comput. Sci., Central Univ. of Rajasthan, India (Somani, G.)
Abstract	Higher hardware utilization and SLA fulfillment are two main objectives of any infrastructure cloud, thus, making resource allocation to virtual machines as one of the most critical aspect. Haizea is a popular cloud lease manager which supports a variety of resource leases according to the application requirements. These leases are: Immediate, Best-Effort, Deadline Sensitive and Advance Reservation (AR). But all these leases are static in nature viz. once resources are allocated to a lease, these resources cannot be altered during the complete lifetime of the lease. This contradicts with the philosophy and implementation of a pure on-demand elastic cloud where resources of a lease are continuously monitored against the utilization and altered based on the requirements. Our work aims at the inclusion of three important features to mitigate this shortcoming in Haizea. First, it introduces a new class of lease: Dynamic lease to accommodate resource changes. Second, it examines virtual machine resource utilization to decide about the demand and need of allocation change and third, it accommodates the expected changes in resource allocation by introducing two new sub-leases which allow dynamic resource allocation in the schedule. Lease experiments are performed on Haizea to validate the introduced features.
Starting Page	232
Ending Page	238
File Size	2193728
Page Count	7
File Format	PDF
e-ISBN	9781479901920
DOI	10.1109/IC3.2013.6612196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-08
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Cloud Computing Haizea Heuristic algorithms Resource Allocation Elasticity Dynamic scheduling Virtual machining Scheduling and On-demand Elastic Cloud Resource management Clocks
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Resource allocation issues and challenges in cloud computing

A survey on resource allocation techniques in cloud computing

Elastic Resource Allocation in the Cloud

Heuristics aware advance reservation and scheduling (HAARS) mechanism in hybrid (Grid/Cloud) environment

Energy efficient resource allocation for heterogeneous cloud workloads

Algorithms to improve scheduling techniques in IaaS cloud

Policy Based Resource Allocation in Cloud Systems

Migration-Based Elastic Consolidation Scheduling in Cloud Data Center

IdleCached: An Idle Resource Cached Dynamic Scheduling Algorithm in Cloud Computing

Dynamic resource allocation using auto-negotiation in Haizea

Similar Documents

Resource allocation issues and challenges in cloud computing

A survey on resource allocation techniques in cloud computing

Elastic Resource Allocation in the Cloud

Heuristics aware advance reservation and scheduling (HAARS) mechanism in hybrid (Grid/Cloud) environment

Energy efficient resource allocation for heterogeneous cloud workloads

Algorithms to improve scheduling techniques in IaaS cloud

Policy Based Resource Allocation in Cloud Systems

Migration-Based Elastic Consolidation Scheduling in Cloud Data Center

IdleCached: An Idle Resource Cached Dynamic Scheduling Algorithm in Cloud Computing

Dynamic resource allocation using auto-negotiation in Haizea