Exploring the Benefits of Resource Disaggregation for Service Reliability in Data Centers

Guo, Chao; Wang, Xinyu; Shen, Gangxiang; Bose, Sanjay K.; Xu, Jiahe; Zukerman, Moshe

doi:10.1109/tcc.2022.3151923

Cited by 8 publications

(5 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Because task execution time is affected by the communication delay between resources, a resource allocation method for a DDC considering this aspect is required [16]. Several resource allocation methods have been proposed for DDCs [14]- [17]. The characteristics of each method, in terms of objective and approach, are shown in Table 1.…”

Section: Resource Allocationmentioning

confidence: 99%

“…It is not possible to optimize routing between resources while considering task performance. Guo et al proposed a resource allocation method to maximize requests that satisfy the failure probability requirement of allocated resources in a given set of resource allocation requests [17]. This method enables higher resource utilization while guaranteeing the reliability of tasks.…”

Section: Resource Allocationmentioning

confidence: 99%

“…Minimize latency between resources for requested task based on bandwidth, hops, delay of link Zervas et al [14] Minimize round trip latency between execution resources in requested task Minimize latency between resources for requested task based on bandwidth and link distance Amaral et al [16] Minimize execution time of requested task while avoiding performance degradation of running tasks Minimize performance interference of running tasks and requested task considering the execution time calculated based on network load Guo et al [17] Maximize requests that satisfy the failure probability requirement of allocated resources in a given set of resource allocation requests performance requirements of tasks are satisfied. Existing methods did not sufficiently consider it.…”

Section: Authormentioning

confidence: 99%

“…Because of this difference, a resource allocation method for a DDC is required. Resource allocation methods have been proposed for a DDC [14]- [17], but these methods do not consider the impact of network resources on the performance of each task and future tasks. Instead, they allocate network resources to minimize performance degradation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Resource Allocation Considering Impact of Network on Performance in a Disaggregated Data Center

Ikoma,

Ohsita,

Murata

2024

IEEE Access

View full text Add to dashboard Cite

A disaggregated data center (DDC) can efficiently use resources such as CPU and memory. In a DDC, because each resource is independent and connected by a network, communication between resources is required for task execution. Communication delays can be an overhead for task execution, causing performance degradation. Because communication delays depend on the correspondence between resources on the network and the paths over which they communicate, an efficient resource allocation method is required to determine this relationship. Herein, we propose a resource allocation method called RA-CNP to execute many tasks simultaneously while satisfying performance requirements. This method models the impact of network resources on the performance of tasks for the provided service. Furthermore, this method defines a resource allocation problem to avoid the allocation of resources that will be requested in the future. We evaluated the effectiveness of our method by simulating various DDC networks, assuming a DDC at the edge. The results demonstrated that RA-CNP could execute more tasks than conventional methods could, without violating performance requirements, based only on current network information in both networks configured by circuit and packet switches. RA-CNP could allocate resources in less than 10 s, even in a relatively large network configured with 64 switches; this capability demonstrates its practicality.

show abstract

Section: Resource Allocationmentioning

confidence: 99%

Section: Resource Allocationmentioning

confidence: 99%

Section: Authormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Resource Allocation Considering Impact of Network on Performance in a Disaggregated Data Center

Ikoma,

Ohsita,

Murata

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…For instance, the work in [9] showcased the potential reduction in needed resources in CDCs when dealing with the provisioning of virtualized services in comparison to traditional DC architectures. The benefits of the disaggregation paradigm in terms of service reliability have been studied in [10]. Resource allocation and provisioning strategies for optimizing the resource utilization or service deployment in CDC infrastructures have been investigated as well (e.g., [11]).…”

Section: Related Workmentioning

confidence: 99%

On the Complexity of Configuration and Orchestration for Enabling Disaggregated Server Provisioning in Optical Composable Data Centres

Pages¹,

Agraz²,

Spadaro³

2022

J. Opt. Commun. Netw.

View full text Add to dashboard Cite

Due to the limitations of traditional data center (DC) architectures, the concept of infrastructure disaggregation has been proposed. DC resources are separated into multiple blades to be exploited independently. As a result, composable DC (CDC) infrastructures are achieved, enhancing the modularity of resource provisioning. However, disaggregation introduces additional challenges that need to be carefully analyzed. One relates to the potential complexity increase on the orchestration and infrastructure configuration that need to be performed when provisioning resources to support services. This aspect is highly influenced by the distribution of resources at the physical infrastructure. As such, when analyzing the performance of a CDC, it becomes essential to also study the related operational complexity of the resource orchestration and configuration phases. Furthermore, the requirements of several tenant services may impose heterogeneous deployments over the shared physical infrastructure in the form of either disaggregated single-server or multi-server distributions. The associated orchestration/configuration cost is again highly influenced by the data plane architecture of the CDC. With these aspects in mind, in this paper, we provide a methodology for analysis of the complexity of resource orchestration for a service deployment and the associated configuration cost in optical CDCs, considering various service deployment setups. A selected set of CDC architectures found in the literature is employed to quantitatively illustrate how the data plane design and service deployment strategies affect the complexity of infrastructure configuration and resource orchestration.

show abstract

Partially Disaggregated Data Centers: Service Provisioning and Resource Allocation

Liu

Bose²,

Shen

2022

2022 Asia Communications and Photonics Conference (ACP)

View full text Add to dashboard Cite

Exploring the Benefits of Resource Disaggregation for Service Reliability in Data Centers

Cited by 8 publications

References 37 publications

Resource Allocation Considering Impact of Network on Performance in a Disaggregated Data Center

Resource Allocation Considering Impact of Network on Performance in a Disaggregated Data Center

On the Complexity of Configuration and Orchestration for Enabling Disaggregated Server Provisioning in Optical Composable Data Centres

Partially Disaggregated Data Centers: Service Provisioning and Resource Allocation

Contact Info

Product

Resources

About