Addressing data compatibility on programmable network platforms
Proceedings of the 2005 ACM symposium on Architecture for networking and communications systems
Enabling policy-driven self-management for enterprise-scale systems
HotAC II Hot Topics in Autonomic Computing on Hot Topics in Autonomic Computing
Runtime adaptation in safety-critical automotive systems
SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering
Application of autonomic agents for global information grid management and security
Proceedings of the 2007 Summer Computer Simulation Conference
Cluster Computing
A versatile policy toolkit supporting run-time policy reconfiguration
Cluster Computing
Achieving Self-management in a Distributed System of Autonomic BUT Social Entities
MACE '08 Proceedings of the 3rd IEEE international workshop on Modelling Autonomic Communications Environments
Biologically-inspired distributed middleware management for stream processing systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
iManage: policy-driven self-management for enterprise-scale systems
Proceedings of the ACM/IFIP/USENIX 2007 International Conference on Middleware
Policy-based autonomic computing with integral support for self-stabilisation
International Journal of Autonomic Computing
A rules-based approach for configuring chains of classifiers in real-time stream mining systems
EURASIP Journal on Advances in Signal Processing
Evaluating Transport Protocols for Real-Time Event Stream Processing Middleware and Applications
OTM '09 Proceedings of the Confederated International Conferences, CoopIS, DOA, IS, and ODBASE 2009 on On the Move to Meaningful Internet Systems: Part I
Distributed stream join query processing with semijoins
Distributed and Parallel Databases
iManage: policy-driven self-management for enterprise-scale systems
MIDDLEWARE2007 Proceedings of the 8th ACM/IFIP/USENIX international conference on Middleware
Engineering decentralized autonomic computing systems
Proceedings of the second international workshop on Self-organizing architectures
Utility-function-driven energy-efficient cooling in data centers
Proceedings of the 7th international conference on Autonomic computing
Placement of replicated tasks for distributed stream processing systems
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
IEEE Transactions on Image Processing
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
Autonomic management of edge servers
IWSOS'06/EuroNGI'06 Proceedings of the First international conference, and Proceedings of the Third international conference on New Trends in Network Architectures and Services conference on Self-Organising Systems
Distributed Adaptive Windowed Stream Join Processing
International Journal of Distributed Systems and Technologies
Dynamic instance queuing in process-aware information systems
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Navigating big data with high-throughput, energy-efficient data partitioning
Proceedings of the 40th Annual International Symposium on Computer Architecture
Proceedings Demo & Poster Track of ACM/IFIP/USENIX International Middleware Conference
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We consider pervasive computing applications that process and aggregate data-streams emanating from highly distributed data sources to produce a stream of updates that have an implicit business-value. Middleware that enables such aggregation of datastreams must support scalable and efficient self-management to deal with changes in the operating conditions and should have an embedded business sense. In this paper, we present a novel self-adaptation algorithm that has been designed to scale efficiently for thousands of streams and aims to maximize the overall business utility attained from running middleware-based applications. The outcome is that the middleware not only deals with changing network conditions or resource requirements, but also responds appropriately to changes in business policies. An important feature of the algorithm is a hierarchical node-partitioning scheme that decentralizes reconfiguration and suitably localizes its impact. Extensive simulation experiments and benchmarks attained with actual enterprise operational data corroborate this paper's claims.