Dynamically scaling applications in the cloud

Auto-scaling Techniques for Elastic Applications in Cloud Environments

Towards Availability: A Dynamic Scaling Mechanism for Cloud Applications

With the on-demand ability of cloud computing, the performance requirement of a cloud application can be satisfied by adding a certain amount of computing resources to or removing some from the application in response to the workload fluctuation. However, the problem of the availability of application influenced by VM-based physical relative locations during resource scaling process is a challe...

The Role of Layer 4-7 Services in Scaling Applications for the Cloud-Computing Data Center

Scaling a cloud application involves scaling three mechanisms: location (mobility), replication, and load balancing. Virtualization was an early catalyst for cloud computing because it substantially lowered the cost of replication and mobility of a prepackaged application. It does not, however, solve the load-balancing problem. Load balancing involves scaling the address, name space, transport,...

Scaling transactional workloads on the cloud

In this paper, we address the problem of transparently scaling out transactional (OLTP) workloads on relational databases, to support database-as-a-service in cloud computing environment. The primary challenges in supporting such workloads include choosing how to partition the data across a large number of machines, minimizing the number of distributed transactions, providing high data availabi...

Scaling theory of the Kondo screening cloud.

A scaling form for the local susceptibility, derived from renormalization group arguments, is proposed. The scale over which the uniform part of this scaling form varies can be viewed as a definition of the Kondo “screening cloud” ∼ ξK . The proposed scaling form interpolates between Ruderman-KittelKasuya-Yosida (RKKY) results in the high temperature limit, T ≫ TK , and Fermi liquid results in ...