Typical Hadoop setups employ Direct Attached Storage (DAS) with compute nodes and
uniform replication of data to sustain high I/O throughput and fault tolerance. However, not …

This paper presents a simple yet effective design solution to facilitate technology scaling for
hard disk drives (HDDs) being deployed in data centers. Emerging magnetic recording …

Nowadays, cloud providers embrace hybrid storage servers to reap both high IO
performance of solid-state drives (SSDs) and low-cost of hard disk drives (HDDs). These …

With SSDs becoming commonplace in several customer-facing datacenter applications,
there is a critical need for optimizing for tail latencies (particularly reads). In this paper, we …

Disk traces are typically used to analyze real-life workloads and for replay-based
evaluations. This approach benefits from capturing important details such as varying …

Large-scale distributed storage systems have gained increasing popularity for providing
highly available and scalable services. Most of these systems have the advantages of high …

Elasticity in Cloud computing is an ability of asystem to scale up and down (request and
release resources) in response to changes in its environment and workload. Elasticity can …

Live data migration in the cloud is responsible to migrate blocks of data from one emigration
node to several immigration nodes. However, live data migration strategy is a NP‐hard …

This paper presents PROMPT, a PeRfOrmance Model for Partially replicated in-memory
Transactional cloud stores. PROMPT combines white box Analytical Modelling and Machine …

In this paper, we present a distributed file system with storage QoS provision for cloud
computing. The objective is to maximize the aggregated disk bandwidth utilization with the …