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Owing to Big Data popularity, the metrics Variety, Volume and Velocity (V3), are gaining importance in large scale data intensive applications. Complex Event Processing (CEP) is an efficient solution for identifying events of interest on data streams arriving from geographically distributed heterogeneous sources in near-real time. CEP is capable of handling large variety of data with high computational...
Event matching is the process of checking high volumes of events against large numbers of subscriptions and is a fundamental issue for the overall performance of a large-scale distributed publish/subscribe system. Most existing algorithms are based on counting satisfied component constraints in each subscription. As the scale of a system grows, these algorithms inevitably suffer from performance degradation...
Content-based publish/subscribe systems allow subscribers to specify interests based on event contents, rather than pre-assigned event topics. Since most of existing publish/subscribe systems use FIFO (First In First Out) as its queue management mechanism, it may face network congestion coming from suddenly burst of huge amount of subscription messages as well as event notifications. To promote the...
Pub/Sub services in the cloud are intended to achieve high performance and high scalability. The challenge comes from how to deal with the potential wide variation in workloads. The paper constructs a content-based Pub/Sub service named OPS4Cloud on the top of cloud infrastructure from scratch. OPS4Cloud manages its brokers by regions and presents a VM-based region adjustment strategy. It builds two-level...
Simulation is a low cost and safe alternative to solve complex problems in various areas. To promote reuse and interoperability of simulation applications and link geographically dispersed simulation components, distributed simulation was introduced. The High Level Architecture (HLA) is the IEEE standard for distributed simulation. The actual implementation of the HLA standard is provided by a Run...
CAN is a well-known DHT technique for content- based P2P networks, where each node is assigned a zone in a virtual coordinate space to store the index of the data hashed into this zone. The dimension of this space is usually lower than the data dimension, thus we have the problem of dimension mismatch. This problem is widely addressed in the context of data retrieval that follows the traditional request/response...
Efficient event matching in a content-based publish/subscribe system is an important problem. Most existing matching solutions focus on subscription relations, such as cover and merge. We observe that event matching can leverage matching history and routing destination as well. Once one of the subscriptions associated with a destination is matched, undecided subscriptions associated with the destination...
Subscription covering detection is useful to improving the performance of any publish/subscribe system. However, an exact solution to querying coverings among a large set of subscriptions in high dimension is computationally too expensive to be practicable. Therefore, we are interested in an approximate approach. We focus on spherical subscriptions and propose a solution based on random projections...
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