CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
Batched stream processing is a new distributed data processing paradigm that models recurring batch computations on incrementally bulk-appended data streams. The model is inspired...
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
Evaluating the resiliency of stateful Internet services to significant workload spikes and data hotspots requires realistic workload traces that are usually very difficult to obt...
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
The increasing popularity of cloud storage is leading organizations to consider moving data out of their own data centers and into the cloud. However, success for cloud storage pr...
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
Large-scale, user-facing applications are increasingly moving from relational databases to distributed key/value stores for high-request-rate, low-latency workloads. Often, this m...
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
Over the last 10–15 years, our industry has developed and deployed many large-scale Internet services, from e-commerce to social networking sites, all facing common challenges i...
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
Parallel dataflow programs generate enormous amounts of distributed data that are short-lived, yet are critical for completion of the job and for good run-time performance. We ca...
CLOUD
2010
ACM
13 years 9 months ago
2010
ACM
To address the limitations of centralized shared storage for cloud computing, we are building Lithium, a distributed storage system designed specifically for virtualization workl...