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Over the past decade, we have witnessed exponential growth in the density (petabyte-level) and breadth (across geo-distributed datacenters) of data distribution. It becomes increasingly challenging but imperative to minimize the response times of data ...

We propose Bohr, a similarity aware geo-distributed data analytics system that minimizes query completion time. The key idea is to exploit similarity between data in different data centers (DCs), and transfer similar data from the bottleneck DC to other ...

Applications have commonly been oblivious to their cloud runtimes. This is primarily because they started their journey in IaaS clouds, running on a guestOS inside VMs. Then to increase performance, many guestOSes have been paravirtualized making them ...

Large scale in-memory key-value stores like RAMCloud can perform millions of operations per second per server with a few microseconds of access latency. However, these systems often only provide simple feature sets, and the lack of extensibility is an ...

Web services and applications are complex systems. Layers of abstraction and virtualization allow flexible and scalable deployment. But they also introduce complications if one wants predictable performance and easy trouble-shooting. We propose to ...

The performance of mobile phone processors has been steadily increasing, causing the performance gap between server and mobile processors to narrow with mobile processors sporting superior performance per unit energy. Fueled by the slowing of Moore's ...

Heterogeneity is a growing concern for scheduling on the cloud. Hardware is increasingly heterogeneous (e.g., GPUs, FPGAs, diverse I/O devices), emphasizing the need to build schedulers that identify the internal structure of applications and utilize ...

Emerging cloud markets like spot markets and batch computing services scale up services at the granularity of whole VMs. In this paper, we observe that GPU workloads underutilize GPU device memory, leading us to explore the benefits of reallocating ...

Emerging Cyber-Physical Systems (CPS) such as connected vehicles and smart cities span large geographical areas. These systems are increasingly distributed and interconnected. Hence, a hierarchy of cloudlet and cloud deployments will be key to enable ...

Infrastructure-as-a-Service clouds are rapidly evolving into market-like environments that offer a wide range of server contracts. Amazon EC2's spot market is the clearest example of this trend: it operates over 5000 markets globally where users can ...

Dynamic and elastic resource allocation to Virtual Network Functions (VNFs) in accordance with varying workloads is a must for realizing promised reductions in capital and operational expenses in Network Functions Virtualization (NFV). However, workload ...

Latency-sensitive applications like virtualized telecom and industrial IoT systems require a service for ultrafast state externalization to become cloud-native. In this paper we propose a distributed shared memory system, called DAL, which achieves the ...

Verification is often regarded as a one-time procedure undertaken after a protocol is specified but before it is implemented. However, in practice, protocols continually evolve with the addition of new capabilities and performance optimizations. ...

Consensus protocols are used to provide consistency guarantees over replicated data in a distributed system, and allow a set of replicas to work together as a coherent group. Raft is a consensus protocol that is designed to be easy to understand and ...

Using multiple datacenters allows for higher availability, load balancing and reduced latency to customers of cloud services. To distribute multiple copies of data, cloud providers depend on inter-datacenter WANs that ought to be used efficiently ...

The web server's network protocol stack is constantly changing and evolving to tackle technological shifts in networking infrastructure and website complexity. For example, Cubic to tackle high throughput, SPDY to tackle loss and QUIC to tackle security ...

Many popular Web services use CDNs to host their content closer to users and thus improve page load times. While this model's success is beyond question, it has its limits: for users with poor last-mile latency even to a nearby CDN node, the many RTTs ...

We present FRAPpuccino (or FRAP), a provenance-based fault detection mechanism for Platform as a Service (PaaS) users, who run many instances of an application on a large cluster of machines. FRAP models, records, and analyzes the behavior of an ...

One way to establish trust in a service is to know what code it is running. However, verified code identity is currently not possible for programs launched on a cloud by another party. We propose an approach to integrate support for code attestation--...