Storage as a Service (StaaS) is a vital component of cloud computing by offering the vision
of a virtually infinite pool of storage resources. It supports a variety of cloud-based data store …

Codes are widely used in many engineering applications to offer robustness against noise.
In large-scale systems, there are several types of noise that can affect the performance of …

Faced with saturation of Moore's law and increasing size and dimension of data, system
designers have increasingly resorted to parallel and distributed computing to reduce …

Data-intensive clusters and object stores are increasingly relying on in-memory object
caching to meet the I/O performance demands. These systems routinely face the challenges …

Many systems possess the flexibility to serve requests in more than one way, such as
distributed storage systems that store multiple copies of the data. In such systems, the …

Recent computer systems research has proposed using redundant requests to reduce
latency. The idea is to run a request on multiple servers and wait for the first completion …

We study how coding in distributed storage reduces expected download time, in addition to
providing reliability against disk failures. The expected download time is reduced because …

In cloud computing systems, assigning a task to multiple servers and waiting for the earliest
copy to finish is an effective method to combat the variability in response time of individual …

Datacenter operations today provide a plethora of new queueing and scheduling problems.
The notion of a “job” has become more general and multi-dimensional. The ways in which …

We consider distributed gradient descent in the presence of stragglers. Recent work on
gradient coding and approximate gradient coding have shown how to add redundancy in …