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We present CCM (Cloud Capacity Manager) - a prototype system and its methods for dynamically multiplexing the compute capacity of virtualized datacenters at scales of thousands of machines, for diverse workloads with variable demands. Extending prior studies primarily concerned with accurate capacity allocation and ensuring acceptable application(More)
With the growth Internet development cloud computing is novel technique to serve better and secure services. E-business is growing rapidly with the development of Internet. The cloud computing provides on demand self service methodology that authorizes users to request resources dynamically as a best benefit. The use of Cloud Computing is ahead reputation(More)
In this work we develop strategies for mining telemetry streams in virtualized clusters to automatically discover relationships between sets of virtual machines. Examples of relationships include correlations between virtual machines, similarities in resource consumption patterns or dominant resources, and similarities in metric variations. The main(More)
Using a population of VMware Virtual Center Virtual Appliances (VCVA) and their respective workloads we de- scribe techniques for constructing a model of their resource consumption and performance, specially memory requirements, and average operation-latency by mining logs of application (VCVA) performance. We use our model to provide sizing recommendations(More)
We present CCM (Cloud Capacity Manager) – a prototype system, and, methods for dynamically multiplex-ing the compute capacity of cloud datacenters at scales of thousands of machines, for diverse workloads with variable demands. This enables mitigation of resource consumption hotspots and handling unanticipated demand surges, leading to improved resource(More)
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