ICAC

This talk highlights the symbiotic relationship between data management and networking through a study of two seemingly independent trends in traditionally separate communities: large-scale data processing and software defined networking. First, data ...

Bi-section bandwidth is a critical resource in today's data centers because of the high cost and limited bandwidth of higher-level network switches and routers. This problem is aggravated in virtualized environments where a set of virtual machines, ...

Existing resource management solutions in datacenters and cloud systems typically treat VMs as black boxes when making resource allocation decisions. This paper advocates the cooperation between VM host- and guest-layer schedulers for optimizing the ...

We argue that the implementation of VMM-based virtual services for a guest should extend into the guest itself, even without its cooperation. Placing service components directly into the guest OS or application can reduce implementation complexity and ...

Simultaneously achieving good performance and high resource utilization is an important goal for production cloud environments. Through extensive measurements of an n-tier application benchmark (RUBBoS), we show that system response time frequently ...

In this paper we present a simple and effective approach for resource provisioning to achieve a percentile bound on the end to end response time of a multi-tier application. We, at first, model the multi-tier application as an open tandem network of M/G/...

An increasing number of MapReduce applications associated with live business intelligence require completion time guarantees. In this paper, we consider the popular Pig framework that provides a high-level SQL-like abstraction on top of MapReduce engine ...

Distributed data processing framework MapReduce is increasingly deployed in Clouds to leverage the pay-per-usage cloud computing model. Popular Hadoop MapReduce environment expects that end users determine the type and amount of Cloud resources for ...

Contextual information of persons can be comprised of a variety of different fragments. The sensor-based recognition of activities, which is one very important part of contextual information, is very well evaluated in laboratory surroundings with ...

Enabling data- and compute-intensive applications that require real-time in-the-field data collection and processing using mobile platforms is still a significant challenge due to i) the insufficient computing capabilities and unavailability of complete ...

Parameter tuning in network anomaly detection systems is typically accomplished off-line and in an ad-hoc fashion. For operational deployment in a variety of conditions, it is important but challenging for a system to adaptively tune itself meeting ...

In large scale systems IT systems, for the purpose of management, we have what are known as "Networked Operations Centers" or NOCs. These NOCs are manned by support staff, known as operators. Data in the form of events from various sub-systems in the ...

As energy has become one of the key operating costs in running a data center and power waste commonly exists, it is essential to observe and reduce energy inefficiency inside data centers. In this paper, we develop an innovative framework, called ...

We are witnessing an explosion in the amount of data generated. Every server, device, and system is able to generate a stream of information that is both valuable and ever changing. It is becoming insufficient to simply store the data for later analysis ...

We study the problem of managing a class of interactive services to meet a response time target while achieving high service quality. We focus here on interactive services that support adaptive execution, such as web search engines and finance servers. ...

This paper develops a fully decentralized control architecture to address the workload consolidation problem in large-scale server clusters wherein the cluster's processing capacity is dynamically tuned to satisfy the service level agreements (SLAs) ...

In this paper we introduce TAS (Transactional Auto Scaler), a system for automating elastic-scaling of in-memory transactional data grids, such as NoSQL data stores or Distributed Transactional Memories. Applications of TAS range from on-line self-...

The growing carbon footprint of Web hosting centers contributes to climate change and could harm the public's perception of Web hosts and Internet services. A pioneering cadre of Web hosts, called green hosts, lower their footprints by cutting into ...

Data centers have recently gained significant popularity as a cost-effective platform for hosting large-scale service applications. While large data centers enjoy economies of scale by amortizing initial capital investment over large number of machines, ...

Self-protection has recently raised growing interest as possible element of answer to the cloud computing infrastructure protection challenge. Faced with multiple threats and heterogeneous defense mechanisms, the autonomic approach proposes simpler, ...

Data centers, hosted either on-site or by a third party, have become a dominant computing platform. Here, we focus on the usage patterns of in-production data centers that are hosted by a third party and serve several corporate customers. We ...

Systems have adopted the notion of eventual consistency which means that the targeted redundancy of data in the system is reached asynchronously, i.e., outside of the critical path of user traffic, so that performance of user traffic is impacted ...

An application provider leases resources (i.e., virtual machine instances) of variable configurations from a IaaS provider over some lease duration (typically one hour). The application provider (i.e., consumer) would like to minimize their cost while ...

Every day, over half a billion people log in to Facebook to communicate with their contacts. They exchange more than 300 million photos and more than 3 billion likes and comments each day. And almost every day, Facebook releases new code with new ...

With the growth of system size and complexity, reliability has become a major concern for large-scale systems. Upon the occurrence of failure, system administrators typically trace the events in Reliability, Availability, and Serviceability (RAS) logs ...

Infrastructure-as-a-Service (IaaS) clouds are prone to performance anomalies due to their complex nature. Although previous work has shown the effectiveness of using statistical learning to detect performance anomalies, existing schemes often assume ...

Performance monitoring of data centers provides vital information for dynamic resource provisioning, fault diagnosis, and capacity planning decisions. Online monitoring, however, incurs a variety of costs---the very act of monitoring a system interferes ...