2007 · 15 citations · 11 references
ComputingComputer ScienceComputer SystemsCloud Performance OptimizationDistributed SystemsServerless ComputingDistributed ComputingLoad BalancingPeer-to-peer SystemsResource BrokeringResource ProvisioningResource SchedulingApplication PlacementMiddlewareMiddleware ArchitecturesPeer-to-peer MiddlewareRequest RoutingScalable Middleware ArchitecturesScalable Resource ManagementSimulation Studies
We present a peer-to-peer service management middleware that dynamically allocates system resources to a large set of applications. The system achieves scalability in number of nodes (1000s or more) through three decentralized mechanisms that run on different time scales. First, overlay construction interconnects all nodes in the system for exchanging control and state information. Second, request routing directs requests to nodes that offer the corresponding applications. Third, application placement controls the set of offered applications on each node, in order to achieve efficient operation and service differentiation. The design supports a large number of applications (100s or more) through selective propagation of configuration information needed for request routing. The control load on a node increases linearly with the number of applications in the system. Service differentiation is achieved through assigning a utility to each application, which influences the application placement process. Simulation studies show that the system operates efficiently for different sizes, adapts fast to load changes and failures and effectively differentiates between different applications under overload.
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Lada A. Adamic, Bernardo A. Huberman · 2002 · 551 citations
Network-Aware Operator Placement for Stream-Processing Systems
Peter Pietzuch, Jonathan Ledlie, Jeffery Shneidman et al. · 2006 · 433 citations
Dynamic placement for clustered web applications
Alexei Karve, Tracy Kimbrel, G. Pacifici et al. · 2006 · 193 citations