DocumentCode
168770
Title
Towards Cloud, Service and Tenant Classification for Cloud Computing
Author
Jeuk, S. ; Szefer, J. ; Shi Zhou
Author_Institution
Cisco Syst., San Jose, CA, USA
fYear
2014
fDate
26-29 May 2014
Firstpage
792
Lastpage
801
Abstract
One of the major concerns cloud computing platforms face today is the lack of a unique identification of the "who" within the network infrastructure. State-of-the-art technologies (such as VLANs or IP addresses) lack functionality to cope with the highly dynamic and scalable, ever changing and virtualized cloud-enabled data center infrastructures. A shared and limited address space or the loss of identification across boundaries render classification unusable for per-tenant, per-service or per-cloud-provider policies. In this work, we introduce the concept of a classification mechanism that is fine-grained enough to associate tenants, services and cloud providers to their network streams. The Tenant-ID, Service-ID and Cloud-ID is added as a tag to Layer 3 packets throughout the consumer-to-service communication. We argue that the proposed service and tenant isolation concept is generic enough to be applicable across the whole cloud environment, thereby eliminating current limitations and enabling new network functionality.
Keywords
cloud computing; pattern classification; Cloud-ID; Service-ID; Tenant-ID; classification mechanism; cloud classification; cloud computing; cloud environment; cloud-enabled data center infrastructures; network functionality; network infrastructure; per-cloud-provider policy; per-cloud-service policy; per-cloud-tenant policy; service classification; service isolation concept; tenant classification; tenant isolation concept; Business; Cloud computing; Educational institutions; IP networks; Ports (Computers); Security; Servers; "Identity Crisis"; Cloud Computing; classification; multi-tenancy; per-service policy; per-tenant policy; service isolation; tenant isolation;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on
Conference_Location
Chicago, IL
Type
conf
DOI
10.1109/CCGrid.2014.71
Filename
6846532
Link To Document