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CLOUD
2010
ACM
9 years 10 months ago
Comet: batched stream processing for data intensive distributed computing
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...
Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, B...
CLOUD
2010
ACM
9 years 10 months ago
Characterizing, modeling, and generating workload spikes for stateful services
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...
Peter Bodík, Armando Fox, Michael J. Frankl...
CLOUD
2010
ACM
9 years 10 months ago
Stateful bulk processing for incremental analytics
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...
Dionysios Logothetis, Christopher Olston, Benjamin...
CLOUD
2010
ACM
9 years 10 months ago
RACS: a case for cloud storage diversity
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...
Hussam Abu-Libdeh, Lonnie Princehouse, Hakim Weath...
CLOUD
2010
ACM
9 years 10 months ago
Benchmarking cloud serving systems with YCSB
Brian F. Cooper, Adam Silberstein, Erwin Tam, Ragh...
CLOUD
2010
ACM
9 years 10 months ago
The case for PIQL: a performance insightful query language
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...
Michael Armbrust, Nick Lanham, Stephen Tu, Armando...
CLOUD
2010
ACM
9 years 10 months ago
Fluxo: a system for internet service programming by non-expert developers
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...
Emre Kiciman, V. Benjamin Livshits, Madanlal Musuv...
CLOUD
2010
ACM
9 years 10 months ago
Making cloud intermediate data fault-tolerant
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...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...
CLOUD
2010
ACM
9 years 10 months ago
Lithium: virtual machine storage for the cloud
To address the limitations of centralized shared storage for cloud computing, we are building Lithium, a distributed storage system designed specifically for virtualization workl...
Jacob Gorm Hansen, Eric Jul
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