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A Hierarchical Control Plane Framework for Integrated SDN-SFC Management in Multi-tenant Cloud Datacenters
Cloud data centers represent one of the most complex and dynamic environments in terms of
network management. The multitude of hosted applications in such centers share the same
fabric and yet demand easy and fast service ...
Global control of mechanics on Riemannian manifolds, and applications to under-actuated aerial vehicles
We consider the problem of designing trajectory tracking feedback control laws for La-
grangian mechanical systems in a Riemannian geometric framework. Classical nonlinear
control techniques that rely on Euclidean ...
Parallel Smoothers for Multigrid Method in Heterogeneous CPU-GPU Environment
Real-world applications require the solution of large a sparse system of algebraic equations that
arise from the discretization of partial di erential equations with the help of supercomputers.
Modern supercomputers are ...
Towards Learning Adversarially Robust Deep Learning Models
Deep learning models have shown impressive performance across a wide spectrum of computer vision
applications, including medical diagnosis and autonomous driving. One of the major concerns that
these models face is their ...
Scalability Bottleneck Analysis of High Performance Applications
Obtaining high performance and scalability for high performance applications are challenging.
There are various bottlenecks including, higher rate of memory access, complex algorithm, high
rate of communication, big ...
Improving Data Center Utilisation by Reducing Fragmentation
Virtualization enables better server consolidation and utilisation compared to stand-alone
servers running a single workload. This enabled wide-spread cloud adoption among many
organizations. Data center utilisation is ...
Towards Designing PCM-Conscious Database Systems
Phase Change Memory (PCM) is a recently developed non-volatile memory technology that
is expected to provide an attractive combination of the best features of conventional disks
(persistence, capacity) and of DRAM (access ...
A Divide and Conquer Framework For Graph Processing in Distributed Heterogeneous Systems
In many fields of science and engineering graph data structures are used to represent real-world
information. As these graphs scale in size, it becomes very inefficient to process these graphs on
a single core CPU using ...
EMF: System Design and Challenges for Disaggregated GPUs in datacenters for Efficiency, Modularity and Flexibility
With Dennard Scaling phasing out in the mid-2000s, architectural scaling and hardware specialization
take centre stage to provide performance bene fits with already stalling Moore's law. An
outcome from this hardware ...