Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Bhilare, D. S.
- SAFETY:A Framework for Secure IaaS Clouds
Abstract Views :167 |
PDF Views:1
Authors
Affiliations
1 International Institute of Professional Studies, Devi Ahilya University, Indore-17, IN
2 Computer Centre, Devi Ahilya University, Indore-17, IN
1 International Institute of Professional Studies, Devi Ahilya University, Indore-17, IN
2 Computer Centre, Devi Ahilya University, Indore-17, IN
Source
International Journal of Advanced Networking and Applications, Vol 6, No 6 (2015), Pagination: 2549-2555Abstract
Cloud Computing is benefiting to both cloud hosts and consumers by providing elastic services as a utility. These services are provided on the basis of Service Level Agreement (SLA). Security and privacy are major issues when dealing with a multi - tenant model of cloud. Consumers are provided computing power in terms of virtual machines (VMs). A consumer can have many VMs at a time. Multiple consumers can get different VMs from the same server. This may lead to cross-VM attacks. This paper introduces a new framework: SAFETY (Security Awareness Framework for Everyone's Task with You), for maintaining security from cross-VM attacks, Data leakage, VM theft, VM escape, Hyper jacking and VM Hopping. Experiments and results show that this framework is suitable and can be used for secure operations at cloud host side.Keywords
Cloud Computing, Security, IaaS, VM Scheduling, SAFETY.Full Text
- Algorithms to Improve Resource Utilization and Request Acceptance Rate in IaaS Cloud Scheduling
Abstract Views :114 |
PDF Views:0
Authors
Affiliations
1 International Institute of Professional Studies, Devi Ahilya University, Indore-17, IN
2 Computer Centre, Devi Ahilya University, Indore-17, IN
1 International Institute of Professional Studies, Devi Ahilya University, Indore-17, IN
2 Computer Centre, Devi Ahilya University, Indore-17, IN
Source
International Journal of Advanced Networking and Applications, Vol 3, No 5 (2012), Pagination: 1367-1374Abstract
Computing infrastructure provisioning in Infrastructure as a Service (IaaS) cloud is done in the form of virtual machines. Haizea, a resource lease manager, provides four types of leases: Immediate, Best Effort (BE), Advance Reservation (AR) and Dead Line Sensitive (DLS). AR leases are most privileged leases with “AR preempts other leases” policy, since they can preempt & suspend other BE leases when demanded by consumers. This leads to two problems: 1) a set of BEs can go suspended infinite number of time & 2) ARs, at the actual time of their resource allocation, can be rejected due to presence of other ARs in schedule. This work proposes two algorithms 1) Starvation-Removal and 2) AR-to-BE Conversion to solve these problems. Experimental results of the proposed algorithms successfully demonstrate that we can stop starvation of BE leases for resources and effectively improve request acceptance rate.Keywords
AR-to-BE Conversion, IaaS Cloud, Haizea, Scheduling, Starvation-Removal.Full Text