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GLOBALSOFT TECHNOLOGIES 
IEEE PROJECTS & SOFTWARE DEVELOPMENTS 
IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE 
BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS 
CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 
Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 
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
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.
2014 IEEE JAVA PARALLEL DISTRIBUTED PROJECT An online integrated resource allocator for guaranteed performance in data centers

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2014 IEEE JAVA PARALLEL DISTRIBUTED PROJECT An online integrated resource allocator for guaranteed performance in data centers

  • 1. GLOBALSOFT TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS IEEE FINAL YEAR PROJECTS|IEEE ENGINEERING PROJECTS|IEEE STUDENTS PROJECTS|IEEE BULK PROJECTS|BE/BTECH/ME/MTECH/MS/MCA PROJECTS|CSE/IT/ECE/EEE PROJECTS CELL: +91 98495 39085, +91 99662 35788, +91 98495 57908, +91 97014 40401 Visit: www.finalyearprojects.org Mail to:ieeefinalsemprojects@gmail.com 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.