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ZooKeeper is a widely used distributed coordination and synchronization service for distributed applications. It relies on the built-in atomic broadcast protocol Zab to provide high availability and guarantees such as totally ordered updates for the overlying applications. ZooKeeper’s flexibility, however, is limited with regard to the underlying Zab protocol.In this work, we propose to switch ZooKeeper’s...
Autonomic Computing and self-adaptive systems are a response to the increasing complexity required to cope with changing environments and varying system resources. However, the complexity of the adaptation logic itself increases with the available information in particular for distributed systems. This leads to uncertainty at runtime resulting in incompleteness in the representation of adaptation...
Fork-Join (FJ) queueing models capture the dynamics of system parallelization under synchronization constraints, for example, for applications such as MapReduce, multipath transmission and RAID systems. Arriving jobs are first split into tasks and mapped to servers for execution, such that a job can only leave the system when all of its tasks are executed. In this paper, we provide computable stochastic...
Many networking applications implement topology adaptations to cope with network dynamics. Related work focuses on the specific application, lacking a general model for topology adaptations. In this paper, we analyze 14 topology adaptations from two different application domains. Based on the derived characteristics, we propose a general topology adaptation model. We present the Topology Adaptation...
More and more Internet-enabled devices, such as server instances or smartphones, have multiple network interfaces. Multipath TCP (MPTCP) has proven to increase bandwidth for these devices, while remaining compatible with the existing network infrastructure and applications. For interactive applications and services, however, low latency and low jitter often is more important than bandwidth. In this...
Due to complex interdependencies and feedback loops between network layers and nodes, the development of adaptive applications is difficult. As networking applications respond nonlinearly to changes in the environment and adaptations, defining concrete adaptation rules is nontrivial. In this paper, we present the offline learner Fossa, which uses genetic programming to automatically learn suitable...
The development of adaptive distributed systems is complex. Due to a large amount of interdependencies and feedback loops between network nodes and software components, distributed systems respond nonlinearly to changes in the environment and system adaptations. Although Event Condition Action (ECA) rules allow a crisp definition of the adaptive behavior and a loose coupling with the actual system...
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