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Recent technology advancements in the areas of compute, storage and networking, along with the increased demand for organizations to cut costs while remaining responsive to increasing service demands have led to the growth in the adoption of cloud computing services. Cloud services provide the promise of improved agility, resiliency, scalability and a lowered Total Cost of Ownership (TCO). This research...
This paper addresses a surgeries scheduling problem with a single server in charge of key medical facility. A surgery can be processed with a precedent setup by the server on one of available operating rooms. The setup can be processed at only one surgery at any time. Thus, it is critically important to simultaneously consider the setup precedence and operating room scheduling decisions. A robust...
Soft resource allocation is an important factor of system configuration which plays a critical role in guaranteeing the performance of multi-tier web service systems. There is a tradeoff between real-time performance and resource consumption, and thus the real-time adjustment of soft resource allocation in response to dynamic workload is quite challenging. In this paper, we propose a real-time soft...
Today, many real-world machine learning and data analytics problems are of a scale that requires distributed optimization; unlike in centralized computing, these systems are vulnerable to network and node failures. Recently, coding-theoretic ideas have been applied to mitigate node failures in such distributed computing networks. Relaxing the exact recovery requirement of such techniques, we propose...
We consider a system where a local cache maintains a collection of N dynamic content items that are randomly requested by local users. A capacity-constrained link to a remote network server limits the ability of the cache to hold the latest version of each item at all times, making it necessary to design an update policy. Using an age of information metric, we show under a relaxed problem formulation...
Distributed storage systems (DSSs) provide a scalable solution for reliably storing massive amounts of data coming from various sources. Heterogeneity of these data sources often means different data classes (types) exist in a DSS, each needing a different level of quality of service (QoS). As a result, efficient data storage and retrieval processes that satisfy various QoS requirements are needed...
Nowadays cloud computing provides an effective way of implementing infrastructure as a service (IaaS). However virtualized data centers still face many challenges, such as low resource utilization of physical machines (PMs) and imbalanced server loads. Virtual machine (VM) consolidation based on live migration allows administrator to dynamically redeploy VMs into PMs for better resource utilization...
Network function virtualization has emerged as a promising technology to enable rapid network service composition/innovation, energy conservation and cost minimization for network operators. To optimally operate a virtualized network service, it is of key importance to optimally deploy a VNF (virtualized network function) service chain within the provisioning infrastructure (e.g., servers and the...
With the growing energy demands from server farms, it becomes necessary to understand the tradeoffs between energy consumption and application performance. Typically, server farms are provisioned for peak load even when they are mostly operating at low utilization levels. This results in wasteful energy consumption. At the same time, application workloads have Quality of Service (QoS) constraints...
Hadoop is now the de facto standard for storing and processing big data, not only for unstructured data but also for some structured data. As a result, providing SQL analysis functionality to the big data resided in HDFS becomes more and more important. Hive is a pioneer system that supports SQL-like analysis to the data in HDFS. However, the performance of the early-version of Hive is not satisfactory...
In order to optimize daily activity chains a new approach has to be followed when creating the method and the connected systems architecture. The elaborated method builds on the flexibility of activities, which can be spatial or temporal. With the introduction of flexibility new locations of the activities are suggested to the travellers, so that the optimization can be realized and shorter travel...
Network function virtualization (NFV) represents the latest technology advancement in network service provisioning. Traditional hardware middleboxes are replaced by software programs running on industry standard servers and virtual machines, for service agility, flexibility, and cost reduction. NFV users are provisioned with service chains composed of virtual network functions (VNFs). A fundamental...
Topic-based pub/sub is a widely used communication mechanism in distributed systems for targeted information dissemination between loosely coupled entities. To scale dynamically depending on the current communication demands, pub/services can be conveniently deployed in the cloud. To provide fast dissemination, the service can be distributed across multiple cloud regions. The architectural design...
Erasure-coded storage systems have gained considerable adoption recently since they can provide the same level of reliability with significantly lower storage overhead compared to replicated systems. However, background traffic of such systems - e.g. repair, rebalance, backup and recovery traffic - often has large volume and consumes significant network resources. Independently scheduling such tasks...
This paper proposes a collaborative in-network caching method for multi-path routing. In-network caching allows routers in networks to store contents in their caches and users can download the contents from the routers in addition to content servers. In such a situation, the proposed method introduces a joint optimization problem of in-network caching and multi-path routing, which is formulated as...
In this paper, we propose an optimal resource pool management for sharable VNFs in service chaining. In the proposed method, each resource pool is managed to place each VNF in servers for multiple service chains by solving an optimization problem. In the optimization problem, VNFs that are shared by multiple service chains are determined, and an appropriate amount of resources can be used for each...
A scalable storage system becomes more important today for online social networks (OSNs) as the volume of user data increases rapidly. Key-value store uses consistent hashing to save data in a distributed manner. As a defacto standard, it has been widely used in production environments of many OSNs. However, the random nature of hashing always leads to high inter-server traffic. Recently, partitioning...
We show cloud developers how to right size data center (DC) capacity for geo-distributed applications deployed on several multi-megawatt DCs, possibly also using many smaller edge DCs. Note that capacity considerations for a geo-distributed infrastructure do not decompose into individual DC capacity planning. When edge DCs are used, heterogeneous availability and costs affect the capacity split between...
Integration of information technologies with the current power infrastructure promises something further than a smart grid: implementation of smart cities. Power efficient cities will be a significant step toward greener cities and a cleaner environment. However, the extensive use of information technologies in smart cities comes at a cost of reduced privacy. In particular, consumers' power profiles...
As clouds move to the network edge to facilitate mobile applications, edge cloud providers are facing new challenges on resource allocation. As users may move and resource prices may vary arbitrarily, %and service delays are heterogeneous, resources in edge clouds must be allocated and adapted continuously in order to accommodate such dynamics. In this paper, we first formulate this problem with a...
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