This report compares the characteristics of push/pull load balancing techniques usedin the context of a logging system. The logging system is expected to handle a largevolume of events. The load balancing techniques are evaluated with focus onthroughput during high load. The testing scenarios includes the use of a traditionalload balancer (push-based) and the use of messaging queues (pull-based and indirectlycontext aware) in its place. The ultimate goal of the report is to determine the feasibilityof using a messaging queue rather than a traditional load balancer in a distributedlogging system. Tests were conducted measuring the throughput of multiple setupswith different load balancers. The conclusion of this report is that both messagingqueues and load balancing are equally feasible in a logging context. / Rapporten jämför egenskaper hos lastbalanseringstekniker för användning i ettdistribuerat logghanteringssystem. Systemet förväntas hantera stora volymermeddelanden vid hög belastning. Testscenarion som utförs sker med traditionelllastbalansering där event trycks ut, samt med meddelandeköer som är hämtbaserade.Målet med rapporten är att avgöra om kontextbaserad lastbalansering kan ökastabiliteten i ett system avsett för hantering av loggdata. Testerna som utfördesuppmätte mängden data som gick igenom systemet vid en given tidpunkt, testernakördes med flera typer av lastbalanserare. Slutsatsen som dras är att bådemeddelandeköer och lastbalansering är passande för användning i ett loggsystem.

Data Plane Development Kit is a highly used library for creating network applications that can be run on all hardware. Data Plane Development Kit has a component called Service Cores, which allows the main applications to create services that will run independently. These services are manually mapped to specific CPU cores, and are scheduled in a round-robin method. Because of the manual mapping, and the scheduling, the different load for each service can impact the start time for each service. By having services not run when supposed to, the throughput will degrade. In this thesis, we investigate and try to solve the issue by implementing a basic load balancer into the Service Core component. Our results show that an basic load balancer, that will balance upon reaching a CPU upper threshold, will increase the throughput of services while decreasing the delay between each service run.