Skip to content

Commit

Permalink
add missing abstract and update schedule, on: hdms/2024/program.html
Browse files Browse the repository at this point in the history
  • Loading branch information
@manathan1984
manathan1984 committed Jun 22, 2024
1 parent 385cc92 commit a91fada
Showing 1 changed file with 16 additions and 8 deletions.
24 changes: 16 additions & 8 deletions hdms/2024/program.html
View file
Original file line number Diff line number Diff line change
Expand Up @@ -250,10 +250,10 @@ <h4> Download the program
<td class="program-sessions">12:00 - 12:10pm</td>
<td class="program-sessions"> <i>TIMBER: On supporting data pipelines in Mobile Cloud Environments</i>
<br> Tomaras, Dimitris; Tsenos, Michalis; Kalogeraki, Vana; Gunopulos, Dimitrios
<!-- <br> <a class="toggle-abstract" onclick="toggleAbstract('abstract-9')">Click to display the abstract</a>
<br> <a class="toggle-abstract" onclick="toggleAbstract('abstract-9')">Click to display the abstract</a>
<span class="paper-abstract" id="abstract-9">
</span> -->
The radical advances in mobile computing, the IoT technological evolution along with cyberphysical components (e.g., sensors, actuators, control centers) have led to the de- velopment of smart city applications that generate raw or pre- processed data, enabling workflows involving the city to better sense the urban environment and support citizens’ everyday lives. Recently, a new era of Mobile Edge Cloud (MEC) infrastructures has emerged to support smart city applications that aim to address the challenges raised due to the spatio-temporal dynamics of the urban crowd as well as bring scalability and on-demand computing capacity to urban system applications for timely response. In these, resource capabilities are distributed at the edge of the network and in close proximity to end-users, making it possible to perform computation and data processing at the network edge. However, there are important challenges related to real-time execution, not only due to the highly dynamic and transient crowd, the bursty and highly unpredictable amount of requests but also due to the resource constraints imposed by the Mobile Edge Cloud environment. In this paper, we present TIMBER, our framework for efficiently supporting mobile daTa processing pIpelines in MoBile cloud EnviRonments that ef- fectively addresses the aforementioned challenges. Our detailed experimental results illustrate that our approach can reduce the operating costs by 66.245% on average and achieve up to 96.4% similar throughput performance for agnostic workloads.
</span>
</td>
</tr>
<tr>
Expand Down Expand Up @@ -378,10 +378,6 @@ <h4> Download the program
</tr>
<tr>
<td class="program-sessions">3:00 - 3:30pm</td>
<td class="program-sessions"> <b>Industry Session</b> </td>
</tr>
<tr>
<td class="program-sessions">3:30 - 4:00pm</td>
<td class="program-sessions"><b>Keynote 2: <i>Robust Query Optimization in the Era of Machine Learning</i></b>, Verena Kantere (Univeristy of Ottawa)
<br> <a class="toggle-abstract" onclick="toggleAbstract('abstract-k2')">Click to display the abstract and bio</a>
<span class="paper-abstract" id="abstract-k2">
Expand All @@ -391,6 +387,10 @@ <h4> Download the program
</span>
</td>
</tr>
<tr>
<td class="program-sessions">3:30 - 4:00pm</td>
<td class="program-sessions"> <b>Industry Session</b> </td>
</tr>
<!-- <tr>
<td class="program-sessions">3:45 - 4:00pm</td>
<td class="program-sessions">Paper 2</td>
Expand Down Expand Up @@ -442,7 +442,15 @@ <h4> Download the program
</tr>
<tr>
<td class="program-sessions">9:30 - 10:00am</td>
<td class="program-sessions"> <b> Keynote 3: <i>Data Management innovation at Amazon Web Services</i></b>, Ippokratis Pandis (Amazon Web Services) </td>
<td class="program-sessions"> <b> Keynote 3: <i>Data Management innovation at Amazon Web Services</i></b>, Ippokratis Pandis (Amazon Web Services)
<br> <a class="toggle-abstract" onclick="toggleAbstract('abstract-k3')">Click to display the abstract and bio</a>
<span class="paper-abstract" id="abstract-k3">
<b>Abstract:</b> Η Amazon Web Services είναι η μεγαλύτερη παροχος υπηρεσιών διαχείρισης δεδομένων στον κόσμο, παρόλο που ξεκίνησε να παρέχει τέτοιες υπηρεσίες μόλις το 2011. Σε αυτή την ομιλία θα προσπαθήσουμε να εξηγήσουμε κάποιες από τις αιτίες πίσω από αυτή την επιτυχία. Αρχικά θα μιλήσουμε για την ανατομία μιας υπηρεσίας διαχείρισης δεδομένων στο cloud, και μετά θα δείξουμε ότι το AWS πρωτοπορεί κ συνεχώς δημιουργεί σε όλα τα στρώματα αυτών των συστημάτων.
<br/><br/>
<b>Bio:</b> Ippokratis Pandis is a VP/Distinguished Engineer at Amazon Web Services responsible for the technical direction of AWS’s Analytics and Relational services. Ippokratis spends a lot of his time in Amazon Redshift. Redshift is Amazon's enterprise cloud data warehouse service. Previously, Ippokratis has held positions as software engineer at Cloudera, where he worked on the Impala SQL-on-Hadoop query engine, and as member of the research staff at the IBM Almaden Research Center, where he worked on IBM DB2 BLU.
<br/><br/>Ippokratis received his PhD from the Electrical and Computer Engineering department at Carnegie Mellon University. He is the recipient of Best Demonstration awards at ICDE 2006 and SIGMOD 2011, and Test-of-Time award at EDBT 2019. He has served as PC chair of DaMoN 2014, DaMoN 2015, CloudDM 2016, HPTS 2019, ICDE Industrial 2022 and SIGMOD Industrial 2024, as well as General Chair of SIGMOD 2023 and the president of HPTS.
</span>
</td>
</tr>
<tr>
<td colspan="2" class="program-session-titles"> <b> Session 3: "Query Processing & Execution" </b> Chair: TBA</tr>
Expand Down

0 comments on commit a91fada

Please sign in to comment.