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Enterprise applications in virtualized environments are often subject to time-varying workloads with multiple seasonal patterns and trends. In order to ensure quality of service for such applications while avoiding over-provisioning, resources need to be dynamically adapted to accommodate the current workload demands. Many memory-intensive applications are not suitable for the traditional horizontal...
Applications in virtualized data centers are often subject to Service Level Objectives (SLOs) regarding their performance (e.g., latency or throughput). In order to fulfill these SLOs, it is necessary to allocate sufficient resources of different types (CPU, memory, I/O, etc.) to an application. However, the relationship between the application performance and the resource allocation is complex and...
Using a population of VMware Virtual Center Virtual Ap- pliances (VCVA) and their respective workloads we de- scribe techniques for constructing a model of their resource consumption and performance, speci cally memory require- ments, and average operation-latency by mining logs of ap- plication (VCVA) performance. We use our model to provide sizing recommendations for the virtual appliance and iden-...
Most modern hypervisors offer powerful resource control primitives such as reservations, limits, and shares for individual virtual machines (VMs). These primitives provide a means to dynamic vertical scaling of VMs in order for the virtual applications to meet their respective service level objectives (SLOs). VMware DRS offers an additional resource abstraction of a resource pool (RP) as a logical...
MapReduce systems face enormous challenges due to increasing growth, diversity, and consolidation of the data and computation involved. Provisioning, configuring, and managing large-scale MapReduce clusters require realistic, workload-specific performance insights that existing MapReduce benchmarks are ill-equipped to supply. In this paper, we build the case for going beyond benchmarks for MapReduce...
Cloud computing is used to describe a collection of (remote) data centers (the hardware and the software) and applications delivered from them as a service (SaaS, Software as a Service). Its success is driven by the cost-effective on-demand availability of large, scalable amounts of computing resources. The cloud has become an established paradigm for many enterprise and consumer applications such...
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