11,616 research outputs found
What are the Latest Trends in Career Pathing Models as Well as the Most Effective Ways to Accelerate High Potential Development?
The war for talent is raging, making attracting, retaining, and developing high-performers more challenging than ever. Many of the “Baby Boomer” executives will be retiring in the near future, and only 15% of organizations in North America and Asia believe they have sufficient qualified successors for key positions. Additionally, 25% of surveyed organizations said they fail to keep top-performers, further illustrating the urgency and importance of the need to design optimal programs for developing future leaders. Thus, the content below will provide insight into the factors that make development program for “high potentials” successful
Design of a Hybrid Modular Switch
Network Function Virtualization (NFV) shed new light for the design,
deployment, and management of cloud networks. Many network functions such as
firewalls, load balancers, and intrusion detection systems can be virtualized
by servers. However, network operators often have to sacrifice programmability
in order to achieve high throughput, especially at networks' edge where complex
network functions are required.
Here, we design, implement, and evaluate Hybrid Modular Switch (HyMoS). The
hybrid hardware/software switch is designed to meet requirements for modern-day
NFV applications in providing high-throughput, with a high degree of
programmability. HyMoS utilizes P4-compatible Network Interface Cards (NICs),
PCI Express interface and CPU to act as line cards, switch fabric, and fabric
controller respectively. In our implementation of HyMos, PCI Express interface
is turned into a non-blocking switch fabric with a throughput of hundreds of
Gigabits per second.
Compared to existing NFV infrastructure, HyMoS offers modularity in hardware
and software as well as a higher degree of programmability by supporting a
superset of P4 language
Extended Equal Service and Differentiated Service Models for Peer-to-Peer File Sharing
Peer-to-Peer (P2P) systems have proved to be the most effective and popular
file sharing applications in recent years. Previous studies mainly focus on the
equal service and the differentiated service strategies when peers have no
initial data before their download. In an upload-constrained P2P file sharing
system, we model both the equal service process and the differentiated service
process when peers' initial data distribution satisfies some special
conditions, and also show how to minimize the time to get the file to any
number of peers. The proposed models can reveal the intrinsic relations among
the initial data amount, the size of peer set and the minimum last finish time.
By using the models, we can also provide arbitrary degree of differentiated
service to a certain number of peers. We believe that our analysis process and
achieved theoretical results could provide fundamental insights into studies on
bandwidth allocation and data scheduling, and can give helpful reference both
for improving system performance and building effective incentive mechanism in
P2P file sharing systems
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