Peer Reviewed Journal via three different mandatory reviewing processes, since 2006, and, from September 2020, a fourth mandatory peer-editing has been added.
A cache appliance is a network terminal which provides cache
memory functions, such as object queries service from a user;
such objects could be stored in one cache or in a cache
hierarchy, trying to avoid carry out service from an origin
server. This cache appliance structure improves network
performance and quality of service. These appliances use ICP
protocol (Internet Cache Protocol) to support interoperation
between existing cache hierarchies and web servers, through
implementation of a message format to communicate web
caches. One cache sends an ICP query to its neighbors. The
neighbors send back ICP replies indicating "HIT" or "MISS".
When one cache faces an excessive traffic situation, that is, a
very high number of service queries from users, ICP protocol
may allocate the service to cache which has the desired object.
Because of traffic conditions, specific appliance may congests
and the requests may be refused, which can decrease network’s
quality of service. So, a system designed for optimizing cache
allocation, considering factors as traffic and priority could be
useful. This paper presents a fuzzy inference system design,
which uses entries such as number of queries over a time
interval and traffic tendency, and as output, the web cache
allocation decision that will provides the service; this design is
proposed to optimize allocation of caches into a hierarchy for
network services performance, so balancing out requesting
among hierarchy members and improving services performance.
