FasTrak

Abstract

The shared nature of multi-tenant cloud networks requires providing tenant isolation and quality of service, which in turn requires enforcing thousands of network-level rules, policies, and traffic rate limits. Enforcing these rules in virtual machine hypervisors imposes significant computational overhead, as well as increased latency. In FasTrak, we seek to exploit temporal locality in flows and flow sizes to offload a subset of network virtualization functionality from the hypervisor into switch hardware freeing up the hypervisor. FasTrak manages the required hardware and hypervisor rules as a unified set, moving rules back and forth to minimize the overhead of network virtualization, and focusing on flows (or flow aggregates) that are either most latency sensitive or exhibit the highest packets-per-second rates.

A Novel Energy Efficient Scheduling for VM Consolidation and Migration in Cloud Data Centers

“…Edge switches help to resolve the intra-edge traffic while core switches take care of inter-edge traffic. Because of the volatile nature of the traffic in a data center, Hose traffic model is taken into consideration [17]. Here the Virtualization framework has many phases like placement phase, link establishment phase [18,19].…”