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Kartik Gopalan

Researcher at Binghamton University

Publications -  82
Citations -  4017

Kartik Gopalan is an academic researcher from Binghamton University. The author has contributed to research in topics: Virtual machine & Live migration. The author has an hindex of 25, co-authored 80 publications receiving 3888 citations. Previous affiliations of Kartik Gopalan include State University of New York System & Stony Brook University.

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Journal ArticleDOI

Centralized channel assignment and routing algorithms for multi-channel wireless mesh networks

TL;DR: A detailed performance evaluation shows that with intelligent channel and bandwidth assignment, equipping every wireless mesh network node with just 2 NICs operating on different channels can increase the total network goodput by a factor of up to 8 compared with the conventional single-channel ad hoc network architecture.
Proceedings ArticleDOI

Post-copy based live virtual machine migration using adaptive pre-paging and dynamic self-ballooning

TL;DR: The design, implementation, and evaluation of post-copy based live migration for virtual machines (VMs) across a Gigabit LAN are presented and improvements in several migration metrics including pages transferred, total migration time and network overhead are shown.
Journal ArticleDOI

Post-copy live migration of virtual machines

TL;DR: Using a range of VM workloads, post-copy improves several metrics including pages transferred, total migration time, and network overhead and is facilitated with adaptive prepaging techniques to minimize the number of page faults across the network.
Proceedings ArticleDOI

Viking: a multi-spanning-tree Ethernet architecture for metropolitan area and cluster networks

TL;DR: This work proposes a multi-spanning-tree Ethernet architecture, called Viking, that improves both aggregate throughput and fault tolerance by exploiting standard virtual LAN technology in a novel way and provides much faster failure recovery, reducing the down-time to a sub-second range from that of multiple seconds in single- spanning- tree Ethernet architecture.
Proceedings ArticleDOI

Gang migration of virtual machines using cluster-wide deduplication

TL;DR: Evaluations on a 30-node Gigabit Ethernet cluster having 10GigE core links shows that GMGD can reduce the network traffic on core links by up to 65% and the total migration time of VMs byUp to 42% when compared to the default migration technique in QEMU/KVM.