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2014 IEEE JAVA PARALLEL DISTRIBUTED PROJECT An online integrated resource allocator for guaranteed performance in data centers
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An Online Integrated Resource Allocator for Guaranteed
Performance in Data Centers
Abstract
As bandwidth is shared in a best-effort way in today's data centers, traffic generated between a set of
VMs (virtual machines) affect the traffic between another set of VMs (possibly belonging to another
tenant) sharing the same physical links, leading to unpredictable performance of applications running on
these VMs. This article addresses the problem of allocation of not only server resources (computational
and storage) but also network bandwidth, to provide performance guarantees in multi-tenant data
centers. Bandwidth being a critical shared-resource, we formulate the problem as an optimization
problem that minimizes bandwidth demand between clusters of VMs of a tenant; and we prove it as NP-hard.
We develop fast online heuristics as an integrated resource allocator (IRA) that decides on the
admission of dynamically arriving requests, and allocates resources for the accepted ones. We also
present a modified version of IRA, called B-IRA that bounds the cost of bandwidth allocation, while
exploring smaller search space for solution. We demonstrate that, IRA accommodates significantly
higher number of requests in comparison to a load-balancing resource allocator (LBRA) that does not
consider reducing bandwidth between clusters of VMs. IRA also outperforms B-IRA when traffic
demands of VMs in an input are not localized.
Existing system
As bandwidth is shared in a best-effort way in today's data centers, traffic generated between a set of
VMs (virtual machines) affect the traffic between another set of VMs (possibly belonging to another
tenant) sharing the same physical links, leading to unpredictable performance of applications running on
these VMs. This article addresses the problem of allocation of not only server resources (computational
and storage) but also network bandwidth, to provide performance guarantees in multi-tenant data
centers. Bandwidth being a critical shared-resource, we formulate the problem as an optimization
2. problem that minimizes bandwidth demand between clusters of VMs of a tenant; and we prove it as NP-hard.
Proposed system
We develop fast online heuristics as an integrated resource allocator (IRA) that decides on the admission
of dynamically arriving requests, and allocates resources for the accepted ones. We also present a
modified version of IRA, called B-IRA that bounds the cost of bandwidth allocation, while exploring
smaller search space for solution. We demonstrate that, IRA accommodates significantly higher number
of requests in comparison to a load-balancing resource allocator (LBRA) that does not consider reducing
bandwidth between clusters of VMs. IRA also outperforms B-IRA when traffic demands of VMs in an
input are not localized.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
Processor - Pentium –IV
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Key Board - Standard Windows Keyboard
Mouse - Two or Three Button Mouse
Monitor - SVGA
SOFTWARE CONFIGURATION:-
Operating System : Windows XP
Programming Language : JAVA
Java Version : JDK 1.6 & above.