2 results listed
Existing networking systems are hardware-based and
rely on inflexible architectures. In recent years, Software defined
networks (SDNs) has emerged as a new paradigm for nextgeneration
networks. SDNs are proposed to separate control plane
and data forwarding plane in the traditional networks to reduce
the increasing complexity of the network equipment. This
separation enables a programmable and flexible hardware
infrastructure via OpenFlow protocol and provides great
opportunities in terms of reducing operating cost, simplifying
network management tasks, gathering network statistics, and
accelerating innovation.
Logging is a structure that records the events of a system and the
users in the system. With logging operations, the actions making
by each device can be recorded. Especially in places where more
than one person connects to the internet such as hotels, cafes,
restaurants, student dorms and companies etc., it is necessary to
monitor and take logs of the events. Already, by the Law No 5651,
to combat certain crimes committed on the internet, it has become
obligatory to take logs to institutions or people who provide
collective internet services.
In this paper, a logging and monitoring system has been designed
and implemented. For logging and monitoring proceses, sFlow,
OpenFlow, Floodlight, Open vSwitch, node.js, and MySQL
technologies have been used. sFlow technology is used to monitor
the networks. sFlow standard gives complete visibility into the use
of networks enabling performance optimization, usage, and
defense against threats. OpenFlow is a protocol used in SDN
environments to enable the SDN controller to interact with the
data forwarding plane of the network devices. Floodlight software
is used by SDN controller for network operations. Open vSwitch
software which enables to handle the traffic loads is installed at
Raspberry Pi 3 hardware. The obtained results show that the
proposed system can take the flowtable records, transfer the
records to node.js via sFlow, and save the records to MySQL via
node.js. Finally, the network traffic is successfully monitored and
logged.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Bilal Babayigit
S. KARAKAYA
Over past two decades, many algorithms taking
inspiration from natural phenomena have been proposed by the
researchers. One of the famous algorithms is Artificial Bee Colony
(ABC) algorithm which is inspired by the intelligent behaviors of
the honey bees. Although original ABC algorithm has been
proposed for solving continuous optimization problems, in order
to effectively solve binary optimization problems original ABC
should be modified. Using logic operator, genetic operator, and
transfer function are the strategies to obtain binary solutions.
Knapsack is a well-known binary optimization problem which
aims to obtain a maximal knapsack packing. In this paper, various
binary variants of ABC algorithm (xorABC, crossoverABC,
vFunctionABC) are applied to 0–1 knapsack packing problem.
The performance of three binary variants of ABC is investigated
with respect to time and quality.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Bilal Babayigit
A. AYTIMUR